CN117649770A - Method for distributing lanes at entrance and exit of toll station and related equipment - Google Patents

Method for distributing lanes at entrance and exit of toll station and related equipment Download PDF

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Publication number
CN117649770A
CN117649770A CN202410123182.5A CN202410123182A CN117649770A CN 117649770 A CN117649770 A CN 117649770A CN 202410123182 A CN202410123182 A CN 202410123182A CN 117649770 A CN117649770 A CN 117649770A
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information
real
time
entrance
lane
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CN117649770B (en
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车晓琳
李唯琛
汪林
朱丽丽
张金金
陈泓宇
孙玲
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Research Institute of Highway Ministry of Transport
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Research Institute of Highway Ministry of Transport
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/10Internal combustion engine [ICE] based vehicles
    • Y02T10/40Engine management systems

Abstract

The invention provides a method for allocating lanes at an entrance and an exit of a toll station and related equipment, which are applied to the technical field of data processing. The method comprises the steps of obtaining target road information related to a toll station; processing the target road information based on a preset processing rule to generate real-time traffic flow information; processing the real-time traffic flow information based on a preset road traffic flow calculation model to generate real-time entrance and exit vehicle information and real-time entrance and exit road information; if the ratio of the traffic flow of the real-time exit vehicle information to the traffic flow of the real-time entrance vehicle information in the preset time period is larger than a preset threshold value, generating a tide lane rule; and processing the real-time entrance road information based on the tide lane rules to generate target entrance lane information. The tidal toll lane measures are started by a toll gate which presents remarkable tidal characteristics to the bidirectional traffic flow, so that the temporary tidal traffic flow meets the traffic demand, and the bidirectional traffic pressure is balanced.

Description

Method for distributing lanes at entrance and exit of toll station and related equipment
Technical Field
The invention relates to the technical field of data processing, in particular to a method for distributing lanes at an entrance and an exit of a toll station and related equipment.
Background
In holidays such as spring festival and eleven, the traffic flow of the highway toll station always presents tide characteristics, and in order to ensure smooth bidirectional traffic, the traffic flow of the toll station holiday needs to be specifically analyzed, and a toll station with obvious tide characteristics for the bidirectional traffic flow is started to start tide toll lane measures, so that temporary tide traffic flow meets traffic demands and balances bidirectional traffic pressure.
The existing research mainly starts from the view of station design, and the number of open and close lanes is optimized based on the operation cost of a toll plaza. Compared with urban traffic, the traffic flow of the highway toll station has certain regularity, but has stronger randomness, and the proportion of ETC and MTC vehicles has time variability, so that the static lane configuration can not realize real-time opening and closing control, effectively utilizes road resources and has limited application scenes. In addition, the prior art mainly obtains a fixed lane configuration scheme according to various parameters of a toll station, and the scheme is unchanged all the day once determined, but the problems of excessive opening of the toll station and waste of toll station resources inevitably occur in the period of low peak hours of each day. In the peak hours, the fixed lane allocation scheme does not always achieve the optimal lane allocation effect along with the difference of the types and the quantity of vehicles reaching the toll station, and sometimes even the traffic jam of some types of lanes and the unblocked phenomenon of other types of lanes occur.
It should be noted that the information disclosed in the above background section is only for enhancing understanding of the background of the present disclosure and thus may include information that does not constitute prior art known to those of ordinary skill in the art.
Disclosure of Invention
The utility model provides a distribution method of passageway lane of toll station and relevant equipment and system, overcome the problem that prior art exists to at least a certain extent, according to the traffic flow data of toll station entry and export upstream road section, calculate the expected traffic flow ratio of business turn over, if there is the condition that passageway traffic flow ratio and passageway open the lane number mismatch, the mode of accessible regulation lane direction increases and decreases passageway charge lane number, through opening the morning and evening tides charge lane measure to the toll station that shows apparent morning and evening tides characteristic of two-way traffic flow, satisfy interim morning and evening tides traffic flow and satisfy traffic demand, balanced two-way traffic pressure.
Additional features and advantages of the application will be set forth in the detailed description which follows, or in part may be learned by practice of the invention.
According to one aspect of the present application, there is provided a method for allocating lanes at an entrance and an exit of a toll station and related apparatus, including: acquiring target road information related to a toll station; processing the target road information based on a preset processing rule to generate real-time traffic flow information, wherein the preset processing rule comprises a calculation formula for acquiring the real-time traffic flow information, and the calculation formula is as follows: ddhv=aadt K/>D, a step of performing the process; processing the real-time traffic flow information based on a preset road traffic flow calculation model to generate real-time entrance and exit vehicle information and real-time entrance and exit road information, wherein the real-time entrance and exit vehicle information comprises real-time exit vehicle information and real-time entrance vehicle information, and the real-time entrance and exit road information comprises real-time exit road information and real-time entrance road information; if the ratio of the traffic flow of the real-time exit vehicle information to the traffic flow of the real-time entrance vehicle information in the preset time period is larger than a preset threshold value, generating a tide lane rule; processing the real-time entrance road information based on the tide lane rules to generate target entrance lane information, wherein the destinationThe marked entrance lane information comprises the preprocessed target exit lane information and the preprocessed target entrance lane information.
In an embodiment of the present application, after the processing the real-time traffic flow information based on the preset road traffic flow calculation model to generate the real-time entrance/exit vehicle information and the real-time entrance/exit road information, the method further includes: processing the real-time entrance and exit vehicle information and the real-time entrance and exit road information based on road condition early warning rules to generate early warning information; acquiring time information of abnormality occurrence of the real-time entrance road information and corresponding lane position information based on the early warning information; processing the time information of the abnormality of the real-time access road information and the corresponding lane position information to generate target event information; and processing the number of lanes of the real-time entrance road information based on the target event information to generate first adjustment information.
In one embodiment of the present application, the processing the real-time entrance and exit vehicle information and the real-time entrance and exit road information based on the road condition early warning rule to generate early warning information includes: acquiring real-time driving data information on the real-time entrance road information, wherein the real-time driving data information comprises first real-time driving data information of a vehicle in a first preset area and second real-time driving data information of a vehicle in a second preset area, and the first preset area and the second preset area respectively represent different lanes on real-time exit road information or real-time entrance road information; analyzing and processing the real-time entrance road information and the real-time driving data information to generate abnormal lane information; and generating lane changing parameters of a target vehicle based on the abnormal lane information, wherein the target vehicle is a vehicle positioned on the abnormal lane information.
In an embodiment of the present application, the analyzing the real-time entrance road information and the real-time driving data information to generate abnormal lane information includes: acquiring traffic event information; generating road information corresponding to the traffic event information based on the traffic event information; judging whether the road information affects a target vehicle on the road information or not; if yes, generating abnormal lane information.
In one embodiment of the present application, the generating lane change parameters of the target vehicle based on the abnormal lane information includes: receiving a pre-lane change request of a target vehicle; judging the pre-lane change direction of the target vehicle according to the pre-lane change request; if the pre-lane change direction is a left lane change, determining a front view area and a left view area of the target vehicle as a third preset area; if the pre-lane change direction is right lane change, determining a front view area and a right view area of the target vehicle as a fourth preset area; and taking the third preset area or the fourth preset area as a lane changing parameter of the target vehicle.
In an embodiment of the present application, the processing the number of lanes of the real-time entrance road information based on the target event information, after generating the first adjustment information, further includes: generating an adjustment result based on the first adjustment information; when the adjustment result is insufficient to solve the abnormal state, acquiring other roads of which the road information corresponding to the target event information is away from a target range threshold value; and processing the other roads based on a preset adjustment rule to generate second adjustment information.
In an embodiment of the present application, the processing the real-time entrance and exit vehicle information and the real-time entrance and exit road information based on the road condition early warning rule to generate early warning information further includes: collecting real-time traffic flow information Qi and real-time queuing length information of a toll station at the moment Ti in real time; processing the real-time entrance road information, the real-time traffic flow information Qi at the moment Ti and the real-time queuing length information based on a preset road blocking model to generate average queuing length and average queuing vehicle number in a preset time period; and generating the blocking degree of the real-time access road information in the preset time period based on the average queuing length and the average queuing vehicle number in the preset time period.
In another aspect of the present application, a toll gate lane allocation apparatus includes: acquisition module forAcquiring target road information related to a toll station; the processing module is used for processing the target road information based on a preset processing rule to generate real-time traffic flow information, wherein the preset processing rule comprises a calculation formula for acquiring the real-time traffic flow information, and the calculation formula is as follows: ddhv=aadt K/>D, a step of performing the process; processing the real-time traffic flow information based on a preset road traffic flow calculation model to generate real-time entrance and exit vehicle information and real-time entrance and exit road information, wherein the real-time entrance and exit lane information comprises real-time exit vehicle information and real-time entrance vehicle information, and the real-time entrance and exit road information comprises real-time exit road information and real-time entrance road information; if the ratio of the traffic flow of the real-time exit vehicle information to the traffic flow of the real-time entrance vehicle information in the preset time period is larger than a preset threshold value, generating a tide lane rule; and processing the real-time entrance road information based on the tide lane rule to generate target entrance lane information, wherein the target entrance lane information comprises preprocessed target exit lane information and target entrance lane information.
According to still another aspect of the present application, an electronic device includes: a first processor; and a memory for storing executable instructions of the first processor; wherein the first processor is configured to execute the allocation method for realizing the toll gate lanes described above via execution of the executable instructions.
According to still another aspect of the present application, there is provided a computer-readable storage medium having stored thereon a computer program which, when executed by a second processor, implements the above-described toll gate lane allocation method.
According to a further aspect of the present application, there is provided a computer program product comprising a computer program, characterized in that the computer program, when executed by a third processor, implements the above-mentioned method of allocating tollgate entrance lanes.
According to the method for allocating the lanes at the entrance and the exit of the toll station and the related equipment, a server acquires target road information related to the toll station; processing the target road information based on a preset processing rule to generate real-time traffic flow information, wherein the preset processing rule comprises a calculation formula for acquiring the real-time traffic flow information, and the calculation formula is as follows: ddhv=aadtK/>D, a step of performing the process; wherein DDHV is unidirectional design hour traffic (pcu/h); AADT is the average daily traffic volume per year predicted (pcu/d); k is the traffic coefficient of the design hour; d is a traffic flow direction non-uniformity coefficient; processing the real-time traffic flow information based on a preset road traffic flow calculation model to generate real-time entrance and exit vehicle information and real-time entrance and exit road information, wherein the real-time entrance and exit vehicle information comprises real-time exit vehicle information and real-time entrance vehicle information, and the real-time entrance and exit road information comprises real-time exit road information and real-time entrance road information; if the ratio of the traffic flow of the real-time exit vehicle information to the traffic flow of the real-time entrance vehicle information in the preset time period is larger than a preset threshold value, generating a tide lane rule; and processing the real-time entrance road information based on the tide lane rule to generate target entrance lane information, wherein the target entrance lane information comprises the preprocessed target exit lane information and the preprocessed target entrance lane information. According to traffic flow data of the sections of the entrance and exit upstream lanes of the toll station, the expected traffic flow ratio of the entrance and exit is calculated, if the situation that the traffic flow ratio of the entrance and exit is not matched with the number of opening lanes of the entrance exists, the number of the toll lanes of the entrance can be increased or decreased by adjusting the direction of the toll lanes, and tidal toll lane measures are opened by the toll station which shows remarkable tidal characteristics for the bidirectional traffic flow, so that the temporary tidal traffic flow meets the traffic demand, and the bidirectional traffic pressure is balanced.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
Fig. 1 is a flowchart of a method for allocating lanes at an entrance and an exit of a toll station according to an embodiment of the present application;
fig. 2 is a schematic structural view of a lane allocation device for a gate of a toll station according to an embodiment of the present application;
FIG. 3 is a schematic diagram of an electronic device according to an embodiment of the present disclosure;
fig. 4 shows a schematic diagram of a storage medium according to an embodiment of the present application.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
A method of allocating a tollgate entrance lane according to an exemplary embodiment of the present application will be described below with reference to fig. 1. It should be noted that the following application scenario is only shown for the convenience of understanding the spirit and principles of the present application, and embodiments of the present application are not limited in any way in this respect. Rather, embodiments of the present application may be applied to any scenario where applicable.
In one embodiment, the application also provides a method for allocating lanes at the entrance and the exit of the toll station and related equipment. Fig. 1 schematically shows a flow diagram of a method for allocating lanes of a gate of a toll station and related devices according to an embodiment of the present application. As shown in fig. 1, the method is applied to a server, and includes:
s101, acquiring target road information related to a toll station.
In one embodiment, the target road information includes lane information of sections of entrance and exit upstream lanes of the toll station, wherein the number of roads of the entrance lane and the exit lane can be set according to actual requirements.
S102, processing the target road information based on a preset processing rule to generate real-time traffic flow information.
In one embodiment, based on annual traffic data of nearly two years, only day and time are extracted as discrete features, and the service time of the non-free flow ETC lane is 2-3 s, the service time of the closed interchange entrance is 6-8 s and the service time of the exit is 14-20 s according to the calculation of the technical requirement of the networking charging of toll roads. In addition, the preset processing rule comprises a calculation formula for acquiring real-time traffic flow information, wherein the calculation formula is as follows: ddhv=aadt K/>D, a step of performing the process; wherein DDHV is unidirectional design hour traffic (pcu/h); AADT is the average daily traffic volume per year predicted (pcu/d); k is the traffic coefficient of the design hour; d is the traffic direction non-uniformity coefficient.
And S103, processing the real-time traffic flow information based on a preset road traffic flow calculation model to generate real-time entrance and exit vehicle information and real-time entrance and exit road information.
In one embodiment, the toll station plaza planning design does not consider the reciprocating lane and the single island multi-pavilion lane, and has no practical significance when the real-time traffic flow data DDHV value exceeds 9000. The preset road traffic flow calculation model comprises a traffic flow lane number calculation simulation table, the service time of an entrance is anchored manually, the total number of unidirectional lanes is obtained by looking up a table according to actual traffic flow data, and the bidirectional lane number is obtained according to the method. For example, when the real-time traffic flow data is 300 and the traffic service duration of a single vehicle is 6 seconds, the number of unidirectional lanes is 1; when the real-time traffic flow data is 230 and the traffic service time of a single vehicle is 8 seconds, the number of the unidirectional lanes is 1. When the real-time traffic flow data is 847 and the traffic service duration of a single vehicle is 6 seconds, the number of the unidirectional lanes is 2; when the real-time traffic flow data is 640 and the traffic service time of a single vehicle is 8 seconds, the number of unidirectional lanes is 2. When the real-time traffic flow data is 2000 and the traffic service time of a single vehicle is 6 seconds, the number of unidirectional lanes is 4; when the real-time traffic flow data is 1500 and the traffic service time of a single vehicle is 8 seconds, the number of unidirectional lanes is 4. When the real-time traffic flow data is 5560 and the traffic service duration of a single vehicle is 6 seconds, the number of unidirectional lanes is 10; when the real-time traffic flow data is 4170 and the traffic service duration of a single vehicle is 8 seconds, the number of unidirectional lanes is 10. In addition, the real-time entrance/exit vehicle information includes real-time exit vehicle information and real-time entrance vehicle information, and the real-time entrance/exit road information includes real-time exit road information and real-time entrance road information.
And S104, if the ratio of the traffic flow of the real-time exit vehicle information to the traffic flow of the real-time entrance vehicle information in the preset time period is greater than a preset threshold value, generating a tide lane rule.
In one embodiment, during holidays such as spring festival and eleven, the traffic flow of the highway toll station always presents tidal characteristics, and in order to ensure smooth bidirectional traffic, it is necessary to specifically analyze the traffic flow of the toll station holiday, and start tidal toll lane measures for the toll station which presents remarkable tidal characteristics for the bidirectional traffic flow, so as to meet the temporary tidal traffic flow to meet the traffic demand and balance the bidirectional traffic pressure. For example, when the entrance lanes are arranged in a large team and the exit lanes are sporadically arranged for a few vehicles, part of the exit lanes are adjusted to be positioned in the entrance lanes, and the exit lane information and the entrance lane information are adjusted according to the actual traffic flow. If the sum of the number of the two-way lanes obtained by calculating the simulation table according to the number of the traffic lanes is less than or equal to the total number of the lanes of the toll station, the tidal adjustment is directly carried out on the toll lanes of the existing gateway according to the result of the number of the simulation lanes; if the sum of the number of the two-way lanes is larger than the sum of the lanes of the toll station, tidal adjustment is carried out on the existing entrance toll lanes according to the ratio of the number of the simulated lanes.
S105, processing the real-time entrance road information based on the tide lane rules to generate target entrance lane information.
In one embodiment, the target entrance lane information includes pre-processed target exit lane information and target entrance lane information. The toll lanes which show remarkable tidal characteristics for the bidirectional traffic flow are set as tidal lanes, and on N tidal lanes, outfield arrangement is carried out according to N ETC lanes and 2N entrance card issuing devices respectively. Each set of industrial personal computers at the gateway are linked with 1 set of charging software, each set of industrial personal computers is respectively connected with 2 sets of ETC road side unit controllers of the same lane, and each set of ETC road side unit controllers is respectively connected with antennas in the inlet direction and the outlet direction of the lane. When the toll collector uses, the toll collection software, ETC road side unit controller, railing machine and the like in one direction are closed, the other direction operates normally, the tidal lane follows the principle of moderate starting from inside to outside, and when the toll collector is opened, the toll collector needs to cooperate with a variable information board, traffic broadcasting, an Internet platform (Goldd, hundred degrees) and the like which are 5-10km upstream in two directions to develop early warning prompts. The principle of moderate starting from inside to outside means that when vehicles of the entrance lane on the right side are long in a queue, and vehicles of the exit lane on the left side are only sporadically used, the exit lane close to the entrance lane on the right side is adjusted to be the entrance lane. The inner side from inside to outside refers to the side close to the bidirectional dividing strip, and the adjustment of the tide lane is started from the side close to the dividing strip; moderate means that the traffic is redistributed according to the proportion of the bidirectional traffic flow, and excessive traffic cannot be set, which would affect the traffic speed of the opposite vehicles, so that the toll station is jammed on the other side.
The method comprises the steps that a server obtains target road information related to a toll station; processing the target road information based on a preset processing rule to generate real-time traffic flow information, wherein the preset processing rule comprises a calculation formula for acquiring the real-time traffic flow information, and the calculation formula is as follows: ddhv=aadtK/>D, a step of performing the process; processing the real-time traffic flow information based on a preset road traffic flow calculation model to generate real-time entrance and exit vehicle information and real-time entrance and exit road information, wherein the real-time entrance and exit vehicle information comprises real-time exit vehicle information and real-time entrance vehicle information, and the real-time entrance and exit road information comprises real-time exit road informationInformation and real-time entry road information; if the ratio of the traffic flow of the real-time exit vehicle information to the traffic flow of the real-time entrance vehicle information in the preset time period is larger than a preset threshold value, generating a tide lane rule; and processing the real-time entrance road information based on the tide lane rule to generate target entrance lane information, wherein the target entrance lane information comprises the preprocessed target exit lane information and the preprocessed target entrance lane information. According to traffic flow data of the sections of the entrance and exit upstream lanes of the toll station, the expected traffic flow ratio of the entrance and exit is calculated, if the situation that the traffic flow ratio of the entrance and exit is not matched with the number of opening lanes of the entrance exists, the number of the toll lanes of the entrance can be increased or decreased by adjusting the direction of the toll lanes, and tidal toll lane measures are opened by the toll station which shows remarkable tidal characteristics for the bidirectional traffic flow, so that the temporary tidal traffic flow meets the traffic demand, and the bidirectional traffic pressure is balanced. Optionally, in another embodiment of the method according to the present application, after the processing the real-time traffic flow information based on the preset road traffic flow calculation model, generating real-time entrance and exit vehicle information and real-time entrance and exit road information further includes: processing the real-time entrance and exit vehicle information and the real-time entrance and exit road information based on road condition early warning rules to generate early warning information;
Acquiring time information of abnormality occurrence of the real-time entrance road information and corresponding lane position information based on the early warning information;
processing the time information of the abnormality of the real-time access road information and the corresponding lane position information to generate target event information;
and processing the number of lanes of the real-time entrance road information based on the target event information to generate first adjustment information.
In one embodiment, the server further obtains road information corresponding to the lane position information, wherein the road condition includes traffic flow data, average speed, and whether a traffic accident occurs. And processing the road information based on a preset congestion detection model to generate target event information. The traffic information is acquired in real time through the intersection network cameras, and the real-time traffic flow information and the vehicle speed information are acquired, so that the traffic state of the road information of each real-time entrance and exit is truly reflected, accurate information is further provided for the assessment of traffic jam conditions, and in addition, factors such as traffic accident conditions are introduced, so that the accuracy of the assessment result of the traffic jam conditions is further improved. By judging whether the exit road information and the entrance road information are abnormal, for example, whether the road is maintained, car accidents occur or not, so that the current road cannot walk normally, judging the actual traffic situation of each lane of the current real-time entrance road information based on the target event information, preparing for the adjustment of the tide lanes and adjusting the number of corresponding lanes.
In another embodiment, an adjustment result is generated based on the first adjustment information, and when the adjustment result is insufficient to solve the abnormal state, other roads with the distance between the road information corresponding to the target event information and the target range threshold value are acquired, and the other roads are processed based on a preset adjustment rule to generate the second adjustment information. The server judges whether the congestion condition of the road information corresponding to the target event information is relieved, if the road information is in the congestion state for a long time, the server acquires the connected road sections with the accident road sections in the accident influence range, judges the congestion condition of the connected road sections, and selects the shuntable road to remind the running. The server screens roads adjacent to the road information corresponding to the target event information based on a route nearest principle, wherein the route nearest principle is to split the road with the vehicle of the road section to be split being nearest, if the split vehicle of the nearest road is saturated, then the second nearest road is selected for splitting, and so on. Under the condition of insufficient alleviation, the road sections which are smooth with the road in the road section connected with the accident road section are selected for diversion, meanwhile, the shuntable vehicles which can shunt the road are determined, the driver is reminded to travel according to the principle of nearest distance, and the smooth traffic of other roads is ensured while the driving pressure of the accident road section is relieved.
Optionally, in another embodiment of the method according to the present application, the processing the real-time entrance and exit vehicle information and the real-time entrance and exit road information based on the road condition early warning rule, to generate early warning information includes:
acquiring real-time driving data information on the real-time entrance road information, wherein the real-time driving data information comprises first real-time driving data information of a vehicle in a first preset area and second real-time driving data information of a vehicle in a second preset area, and the first preset area and the second preset area respectively represent different lanes on real-time exit road information or real-time entrance road information;
analyzing and processing the real-time entrance road information and the real-time driving data information to generate abnormal lane information;
and generating lane changing parameters of a target vehicle based on the abnormal lane information, wherein the target vehicle is a vehicle positioned on the abnormal lane information.
In one embodiment, the real-time exit road information and the real-time entrance road information can be respectively identified, and if traffic jam occurs in a relevant lane or the road is maintained, the road is classified as abnormal lane information. Further, the lane-change parameters of the target vehicle may include a variable lane probability (including 0 non-variable lane, 1 variable lane), a lane-change rate, and/or a variable lane. In the embodiment of the invention, whether the road information meets the lane change requirement in the traffic rule can be judged according to the lane information and the traffic sign information in the road information. For example, if the number of current lanes is obtained, and the solid line exists between the lanes or a traffic sign for prohibiting lane changing exists, lane changing is not allowed at present, the variable lane probability is 0, the current lane changing rate and/or the variable lanes are empty, and if the number of current lanes is obtained, and the dotted line exists between the lanes or a traffic sign for prohibiting lane changing exists between the lanes, lane changing is allowed at present, and lane changing parameters can be analyzed continuously through real-time driving data information.
In another embodiment, traffic event information is obtained, the traffic event information including event location information and/or event type information. For example, the traffic event information is information of a traffic accident occurring in the 2 nd lane on the left side of the a-way, the event position information is calculated by the stored high-precision map data, the road information and/or the lane information corresponding to the traffic event information are generated, or the road information and/or the lane information within the range which can be influenced by the traffic event information can be generated, the event position information is calculated by the stored high-precision map data, the road information corresponding to the traffic event information is the 2 nd lane on the left side of the a-way, the lane information is the 2 nd lane on the left side of the a-way, and the B-direction lanes of the a-way are influenced. And generating road information corresponding to the traffic event information based on the traffic event information, judging whether the road information affects a target vehicle on the road information, and if so, generating abnormal lane information. If the road information or the lane information is judged to influence the vehicle corresponding to the vehicle information, indicating that the vehicle is about to enter the position corresponding to the event position information, and sending traffic event information to the vehicle; if the road information or the lane information is judged not to influence the vehicle corresponding to the vehicle information, the vehicle is indicated not to enter the position corresponding to the event position information.
In another embodiment, a pre-lane change request of a target vehicle is received; judging the pre-lane change direction of the target vehicle according to the pre-lane change request; if the pre-lane change direction is the left lane change, determining a forward-looking area and a left-looking area of the target vehicle as a third preset area; if the pre-lane change direction is right lane change, determining a forward looking area and a right viewing area of the target vehicle as a fourth preset area; and taking the third preset area or the fourth preset area as a lane changing parameter of the target vehicle. If the pre-lane change direction is left lane change, the driving condition of the vehicle before the target vehicle and the vehicle on the left lane needs to be detected, a forward-looking area (a visible area within 180 degrees of a front windshield of a vehicle body) and a left-looking area (a visible area within 180 degrees of a left vehicle body of the target vehicle) of the target vehicle can be determined as a third preset area, wherein the third preset area is used for limiting the vehicle range near the target vehicle, and the server can acquire real-time driving data information of the vehicle in the third preset area to judge whether the lane change is suitable.
In addition, if the pre-lane change direction is right lane change, the driving condition of the vehicle before the target vehicle and the vehicle on the right lane needs to be detected, a forward-looking area and a right-looking area of the target vehicle may be determined as a fourth preset area, where the fourth preset area is used to define a vehicle range near the target vehicle, and the server may acquire real-time driving data information of the vehicle in the fourth preset area to determine whether the lane change is suitable.
Optionally, in another embodiment of the method according to the present application, the processing the real-time entrance and exit vehicle information and the real-time entrance and exit road information based on the road condition early warning rule to generate early warning information further includes:
collecting real-time traffic flow information Qi and real-time queuing length information of a toll station at the moment Ti in real time;
processing the real-time entrance road information, the real-time traffic flow information Qi at the moment Ti and the real-time queuing length information based on a preset road blocking model to generate average queuing length and average queuing vehicle number in a preset time period;
and generating the blocking degree of the real-time access road information in the preset time period based on the average queuing length and the average queuing vehicle number in the preset time period.
In one embodiment, the queuing state and the traffic state of the toll station in a future period of time can be accurately predicted, so that traffic management departments can make accurate coordination management measures according to the prediction results, and the traffic efficiency of the toll station is improved. The server judges whether the congestion situation of the corresponding road information is relieved according to the congestion degree of the road information of the real-time access in the preset event section, if the road information is in the congestion state for a long time, the server acquires the connected road sections of the accident road sections in the accident influence range, judges the congestion situation of the connected road sections, and selects the shuntable road to remind the running.
By applying the technical scheme, the server acquires target road information related to the toll station; processing the target road information based on a preset processing rule to generate real-time traffic flow information, wherein the preset processing rule comprises a calculation formula for acquiring the real-time traffic flow information, and the calculation formula is as follows: ddhv=aADTK/>D, a step of performing the process; processing the real-time traffic flow information based on a preset road traffic flow calculation model to generate real-time entrance and exit vehicle information and real-time entrance and exit road information, wherein the real-time entrance and exit vehicle information comprises real-time exit vehicle information and real-time entrance vehicle information, and the real-time entrance and exit road information comprises real-time exit road information and real-time entrance road information; the method comprises the steps of obtaining real-time driving data information on real-time entrance road information, wherein the real-time driving data information comprises first real-time driving data information of vehicles in a first preset area and second real-time driving data information of vehicles in a second preset area, and the first preset area and the second preset area respectively represent different lanes on real-time exit road information or real-time entrance road information.
In addition, the server will also acquire traffic event information; generating road information corresponding to the traffic event information based on the traffic event information; judging whether the road information affects a target vehicle on the road information; if yes, generating abnormal lane information; receiving a pre-lane change request of a target vehicle; judging the pre-lane change direction of the target vehicle according to the pre-lane change request; if the pre-lane change direction is the left lane change, determining a forward-looking area and a left-looking area of the target vehicle as a third preset area; if the pre-lane change direction is right lane change, determining a forward looking area and a right viewing area of the target vehicle as a fourth preset area; taking the third preset area or the fourth preset area as a lane changing parameter of a target vehicle, wherein the target vehicle is a vehicle positioned on abnormal lane information; acquiring time information of abnormality occurrence of real-time entrance road information and corresponding lane position information based on the early warning information; processing the time information of the abnormality of the real-time access road information and the corresponding lane position information to generate target event information; processing the number of lanes of the real-time entrance road information based on the target event information to generate first adjustment information; generating an adjustment result based on the first adjustment information; when the adjustment result is insufficient to solve the abnormal state, acquiring other roads of which the road information corresponding to the target event information is away from the target range threshold value; and processing other roads based on a preset adjustment rule to generate second adjustment information.
In addition, the server also collects real-time traffic flow information Qi and real-time queuing length information of the toll station at the moment Ti in real time; processing real-time access road information, real-time traffic flow information Qi at the moment Ti and real-time queuing length information based on a preset road blocking model to generate average queuing length and average queuing vehicle number in a preset time period; generating the blocking degree of the road information of the real-time access in the preset time period based on the average queuing length and the average queuing vehicle number in the preset time period; if the ratio of the traffic flow of the real-time exit vehicle information to the traffic flow of the real-time entrance vehicle information in the preset time period is larger than a preset threshold value, generating a tide lane rule; and processing the real-time entrance road information based on the tide lane rule to generate target entrance lane information, wherein the target entrance lane information comprises the preprocessed target exit lane information and the preprocessed target entrance lane information. The traffic information is acquired in real time through the intersection network cameras, and the real-time traffic flow information and the vehicle speed information are acquired, so that the traffic state of the road information of each real-time entrance and exit is truly reflected, accurate information is further provided for the assessment of traffic jam conditions, and in addition, factors such as traffic accident conditions are introduced, so that the accuracy of the assessment result of the traffic jam conditions is further improved. By judging whether the exit road information and the entrance road information are abnormal, for example, whether the road is maintained, car accidents occur or not, so that the current road cannot walk normally, judging the actual traffic situation of each lane of the current real-time entrance road information based on the target event information, preparing for the adjustment of the tide lanes and adjusting the number of corresponding lanes. According to traffic flow data of the sections of the entrance and exit upstream lanes of the toll station, the expected traffic flow ratio of the entrance and exit is calculated, if the situation that the traffic flow ratio of the entrance and exit is not matched with the number of opening lanes of the entrance exists, the number of the toll lanes of the entrance can be increased or decreased by adjusting the direction of the toll lanes, and tidal toll lane measures are opened by the toll station which shows remarkable tidal characteristics for the bidirectional traffic flow, so that the temporary tidal traffic flow meets the traffic demand, and the bidirectional traffic pressure is balanced.
In one embodiment, as shown in fig. 2, the present application further provides a device for allocating lanes at an entrance of a toll station, including:
an acquisition module 201 for acquiring target road information related to a toll station;
the processing module 202 is configured to process the target road information based on a preset processing rule, and generate real-time traffic flow information, where the preset processing rule includes a calculation formula for acquiring the real-time traffic flow information, and the calculation formula is: ddhv=aadtK/>D, a step of performing the process; processing the real-time traffic flow information based on a preset road traffic flow calculation model to generate real-time entrance and exit vehicle information and real-time entrance and exit road information, wherein the real-time entrance and exit lane information comprises real-time exit vehicle information and real-time entrance vehicle information, and the real-time entrance and exit road information comprises real-time exit road information and real-time entrance road information; if the ratio of the traffic flow of the real-time exit vehicle information to the traffic flow of the real-time entrance vehicle information in the preset time period is larger than a preset threshold value, generating a tide lane rule; and processing the real-time entrance road information based on the tide lane rule to generate target entrance lane information, wherein the target entrance lane information comprises preprocessed target exit lane information and target entrance lane information.
The method comprises the steps that a server obtains target road information related to a toll station; processing the target road information based on a preset processing rule to generate real-time traffic flow information, wherein the preset processing rule comprises a calculation formula for acquiring the real-time traffic flow information, and the calculation formula is as follows: ddhv=aadtK/>D, a step of performing the process; processing the real-time traffic flow information based on a preset road traffic flow calculation model to generate real-time entrance and exit vehicle information and real-time entrance and exit road information, wherein the real-time entrance and exit vehicle information comprises real-time exit vehicle information and real-time entrance vehicle information, and the real-time entrance and exit road information comprises real-time exit road information and real-time entrance road information; if the ratio of the traffic flow of the real-time exit vehicle information to the traffic flow of the real-time entrance vehicle information in the preset time period is larger than a preset threshold value, generating a tide lane rule; and processing the real-time entrance road information based on the tide lane rule to generate target entrance lane information, wherein the target entrance lane information comprises the preprocessed target exit lane information and the preprocessed target entrance lane information. According to traffic flow data of the sections of the entrance and exit upstream lanes of the toll station, the expected traffic flow ratio of the entrance and exit is calculated, if the situation that the traffic flow ratio of the entrance and exit is not matched with the number of opening lanes of the entrance exists, the number of the toll lanes of the entrance can be increased or decreased by adjusting the direction of the toll lanes, and tidal toll lane measures are opened by the toll station which shows remarkable tidal characteristics for the bidirectional traffic flow, so that the temporary tidal traffic flow meets the traffic demand, and the bidirectional traffic pressure is balanced.
In another embodiment of the present application, the processing module 202 is configured to process the real-time traffic flow information based on a preset road traffic flow calculation model, and further includes, after generating real-time entrance/exit vehicle information and real-time entrance/exit road information: processing the real-time entrance and exit vehicle information and the real-time entrance and exit road information based on road condition early warning rules to generate early warning information; acquiring time information of abnormality occurrence of the real-time entrance road information and corresponding lane position information based on the early warning information; processing the time information of the abnormality of the real-time access road information and the corresponding lane position information to generate target event information; and processing the number of lanes of the real-time entrance road information based on the target event information to generate first adjustment information.
In another embodiment of the present application, the processing module 202 is configured to process the real-time entrance vehicle information and the real-time entrance road information based on the road condition early warning rule, to generate early warning information, and includes: acquiring real-time driving data information on the real-time entrance road information, wherein the real-time driving data information comprises first real-time driving data information of a vehicle in a first preset area and second real-time driving data information of a vehicle in a second preset area, and the first preset area and the second preset area respectively represent different lanes on real-time exit road information or real-time entrance road information; analyzing and processing the real-time entrance road information and the real-time driving data information to generate abnormal lane information; and generating lane changing parameters of a target vehicle based on the abnormal lane information, wherein the target vehicle is a vehicle positioned on the abnormal lane information.
In another embodiment of the present application, the processing module 202 is configured to perform analysis processing on the real-time entrance road information and the real-time driving data information to generate abnormal lane information, and includes: acquiring traffic event information; generating road information corresponding to the traffic event information based on the traffic event information; judging whether the road information affects a target vehicle on the road information or not; if yes, generating abnormal lane information.
In another embodiment of the present application, the processing module 202 configured to generate lane-changing parameters of the target vehicle based on the abnormal lane information includes: receiving a pre-lane change request of a target vehicle; judging the pre-lane change direction of the target vehicle according to the pre-lane change request; if the pre-lane change direction is a left lane change, determining a front view area and a left view area of the target vehicle as a third preset area; if the pre-lane change direction is right lane change, determining a front view area and a right view area of the target vehicle as a fourth preset area; and taking the third preset area or the fourth preset area as a lane changing parameter of the target vehicle.
In another embodiment of the present application, the processing module 202 is configured to process the number of lanes of the real-time entrance road information based on the target event information, and after generating the first adjustment information, further includes: generating an adjustment result based on the first adjustment information; when the adjustment result is insufficient to solve the abnormal state, acquiring other roads of which the road information corresponding to the target event information is away from a target range threshold value; and processing the other roads based on a preset adjustment rule to generate second adjustment information.
In another embodiment of the present application, the processing module 202 is configured to process the real-time entrance vehicle information and the real-time entrance road information based on the road condition early warning rule, to generate early warning information, and further includes: collecting real-time traffic flow information Qi and real-time queuing length information of a toll station at the moment Ti in real time; processing the real-time entrance road information, the real-time traffic flow information Qi at the moment Ti and the real-time queuing length information based on a preset road blocking model to generate average queuing length and average queuing vehicle number in a preset time period; and generating the blocking degree of the real-time access road information in the preset time period based on the average queuing length and the average queuing vehicle number in the preset time period.
By applying the technical scheme, the server acquires target road information related to the toll station; processing the target road information based on a preset processing rule to generate real-time traffic flow information, wherein the preset processing rule comprises a calculation formula for acquiring the real-time traffic flow information, and the calculation formula is as follows: ddhv=aadtK/>D, a step of performing the process; processing the real-time traffic flow information based on a preset road traffic flow calculation model to generate real-time entrance and exit vehicle informationAnd real-time entrance/exit road information, wherein the real-time entrance/exit vehicle information includes real-time exit vehicle information and real-time entrance vehicle information, and the real-time entrance/exit road information includes real-time exit road information and real-time entrance road information; the method comprises the steps of obtaining real-time driving data information on real-time entrance road information, wherein the real-time driving data information comprises first real-time driving data information of vehicles in a first preset area and second real-time driving data information of vehicles in a second preset area, and the first preset area and the second preset area respectively represent different lanes on real-time exit road information or real-time entrance road information.
In addition, the server will also acquire traffic event information; generating road information corresponding to the traffic event information based on the traffic event information; judging whether the road information affects a target vehicle on the road information; if yes, generating abnormal lane information; receiving a pre-lane change request of a target vehicle; judging the pre-lane change direction of the target vehicle according to the pre-lane change request; if the pre-lane change direction is the left lane change, determining a forward-looking area and a left-looking area of the target vehicle as a third preset area; if the pre-lane change direction is right lane change, determining a forward looking area and a right viewing area of the target vehicle as a fourth preset area; taking the third preset area or the fourth preset area as a lane changing parameter of a target vehicle, wherein the target vehicle is a vehicle positioned on abnormal lane information; acquiring time information of abnormality occurrence of real-time entrance road information and corresponding lane position information based on the early warning information; processing the time information of the abnormality of the real-time access road information and the corresponding lane position information to generate target event information; processing the number of lanes of the real-time entrance road information based on the target event information to generate first adjustment information; generating an adjustment result based on the first adjustment information; when the adjustment result is insufficient to solve the abnormal state, acquiring other roads of which the road information corresponding to the target event information is away from the target range threshold value; and processing other roads based on a preset adjustment rule to generate second adjustment information.
In addition, the server also collects real-time traffic flow information Qi and real-time queuing length information of the toll station at the moment Ti in real time; processing real-time access road information, real-time traffic flow information Qi at the moment Ti and real-time queuing length information based on a preset road blocking model to generate average queuing length and average queuing vehicle number in a preset time period; generating the blocking degree of the road information of the real-time access in the preset time period based on the average queuing length and the average queuing vehicle number in the preset time period; if the ratio of the traffic flow of the real-time exit vehicle information to the traffic flow of the real-time entrance vehicle information in the preset time period is larger than a preset threshold value, generating a tide lane rule; and processing the real-time entrance road information based on the tide lane rule to generate target entrance lane information, wherein the target entrance lane information comprises the preprocessed target exit lane information and the preprocessed target entrance lane information. The traffic information is acquired in real time through the intersection network cameras, and the real-time traffic flow information and the vehicle speed information are acquired, so that the traffic state of the road information of each real-time entrance and exit is truly reflected, accurate information is further provided for the assessment of traffic jam conditions, and in addition, factors such as traffic accident conditions are introduced, so that the accuracy of the assessment result of the traffic jam conditions is further improved. By judging whether the exit road information and the entrance road information are abnormal, for example, whether the road is maintained, car accidents occur or not, so that the current road cannot walk normally, judging the actual traffic situation of each lane of the current real-time entrance road information based on the target event information, preparing for the adjustment of the tide lanes and adjusting the number of corresponding lanes. According to traffic flow data of the sections of the entrance and exit upstream lanes of the toll station, the expected traffic flow ratio of the entrance and exit is calculated, if the situation that the traffic flow ratio of the entrance and exit is not matched with the number of opening lanes of the entrance exists, the number of the toll lanes of the entrance can be increased or decreased by adjusting the direction of the toll lanes, and tidal toll lane measures are opened by the toll station which shows remarkable tidal characteristics for the bidirectional traffic flow, so that the temporary tidal traffic flow meets the traffic demand, and the bidirectional traffic pressure is balanced.
The embodiment of the application provides an electronic device, as shown in fig. 3, the electronic device 3 includes a first processor 300, a memory 301, a bus 302 and a communication interface 303, where the first processor 300, the communication interface 303 and the memory 301 are connected through the bus 302; the memory 301 stores a computer program that can be executed by the first processor 300, and the first processor 300 executes the method for allocating lanes of the toll gate according to any of the embodiments described above when executing the computer program.
The memory 301 may include a high-speed random access memory (RAM: random Access Memory), and may further include a non-volatile memory (non-volatile memory), such as at least one magnetic disk memory. The communication connection between the system network element and at least one other network element is implemented via at least one communication interface 303 (which may be wired or wireless), the internet, a wide area network, a local network, a metropolitan area network, etc. may be used.
Bus 302 may be an ISA bus, a PCI bus, an EISA bus, or the like. The buses may be classified as address buses, data buses, control buses, etc. The memory 301 is configured to store a program, and after receiving an execution instruction, the first processor 300 executes the program, and the method for allocating lanes at the entrance and the exit of the toll station disclosed in any embodiment of the present application may be applied to the first processor 300 or implemented by the first processor 300.
The first processor 300 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in software form in the first processor 300. The first processor 300 may be a general-purpose processor, including a central processing unit (Central Processing Unit, CPU), a network processor (Network Processor, NP), etc.; but may also be a Digital Signal Processor (DSP), application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components. The disclosed methods, steps, and logic blocks in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the embodiments of the present application may be embodied as a hardware decoding processor executing or a combination of hardware and software modules executing in the decoding processor. The software modules may be located in a random access memory, flash memory, read only memory, programmable read only memory, or electrically erasable programmable memory, registers, etc. as well known in the art. The storage medium is located in the memory 301 and the first processor 300 reads the information in the memory 301 and in combination with its hardware performs the steps of the above method.
The electronic device provided by the above embodiment of the present application and the method for allocating the entrance lane of the toll station provided by the embodiment of the present application have the same beneficial effects as the method adopted, operated or implemented by the application program stored therein, because of the same inventive concept.
The embodiment of the present application provides a computer readable storage medium, as shown in fig. 4, where the computer readable storage medium stores 401 a computer program, and when the computer program is read and executed by the second processor 402, the method for allocating lanes at the entrance and exit of a toll station is implemented as described above.
The technical solution of the embodiments of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution, in the form of a software product stored in a storage medium, including several instructions for causing an electronic device (which may be an air conditioner, a refrigeration device, a personal computer, a server, or a network device, etc.) or a processor to perform all or part of the steps of the methods of the embodiments of the present application. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk, etc.
The computer readable storage medium provided in the above embodiment of the present application has the same advantages as the method adopted, operated or implemented by the application program stored in the computer readable storage medium, because the same inventive concept is adopted in the method for allocating the entrance lane of the toll station provided in the embodiment of the present application.
Embodiments of the present application provide a computer program product comprising a computer program for execution by a third processor to implement a method as described above.
The computer program product provided by the above embodiment of the present application and the method for allocating the entrance lane of the toll station provided by the embodiment of the present application have the same beneficial effects as the method adopted, operated or implemented by the application program stored therein, because of the same inventive concept.
It is noted that in this application relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
In this application, all embodiments are described in a related manner, and identical and similar parts of the embodiments are all referred to each other, and each embodiment is mainly described in the differences from other embodiments. In particular, regarding the embodiments of the allocation method, the electronic device, the electronic apparatus, and the readable storage medium for evaluating the toll gate lanes, since they are substantially similar to the embodiments of the allocation method for toll gate lanes described above, the description is relatively simple, and the relevant points are referred to the description of the embodiments of the allocation method for toll gate lanes described above.
Although the present application is disclosed above, the present application is not limited thereto. Various changes and modifications may be made by one skilled in the art without departing from the spirit and scope of the invention, and the scope of the invention shall be defined by the appended claims.

Claims (10)

1. A method for allocating lanes at an entrance/exit of a toll station, comprising:
acquiring target road information related to a toll station;
processing the target road information based on a preset processing rule to generate real-time traffic flow information, wherein the preset processing rule comprises a calculation formula for acquiring the real-time traffic flow information, and the calculation formula is as follows: ddhv=aadt K/>D, a step of performing the process; wherein DDHV is unidirectional design hour traffic (pcu/h); AADT is the average daily traffic volume per year predicted (pcu/d); k is the traffic coefficient of the design hour; d is a traffic flow direction non-uniformity coefficient;
processing the real-time traffic flow information based on a preset road traffic flow calculation model to generate real-time entrance and exit vehicle information and real-time entrance and exit road information, wherein the real-time entrance and exit vehicle information comprises real-time exit vehicle information and real-time entrance vehicle information, and the real-time entrance and exit road information comprises real-time exit road information and real-time entrance road information;
if the ratio of the traffic flow of the real-time exit vehicle information to the traffic flow of the real-time entrance vehicle information in the preset time period is larger than a preset threshold value, generating a tide lane rule;
and processing the real-time entrance road information based on the tide lane rule to generate target entrance lane information, wherein the target entrance lane information comprises preprocessed target exit lane information and target entrance lane information.
2. The method of claim 1, wherein the processing the real-time traffic flow information based on the preset road traffic flow calculation model further comprises, after generating real-time entrance and exit vehicle information and real-time entrance and exit road information:
Processing the real-time entrance and exit vehicle information and the real-time entrance and exit road information based on road condition early warning rules to generate early warning information;
acquiring time information of abnormality occurrence of the real-time entrance road information and corresponding lane position information based on the early warning information;
processing the time information of the abnormality of the real-time access road information and the corresponding lane position information to generate target event information;
and processing the number of lanes of the real-time entrance road information based on the target event information to generate first adjustment information.
3. The method of claim 2, wherein the processing the real-time entrance vehicle information and the real-time entrance road information based on the road condition pre-warning rule to generate pre-warning information comprises:
acquiring real-time driving data information on the real-time entrance road information, wherein the real-time driving data information comprises first real-time driving data information of a vehicle in a first preset area and second real-time driving data information of a vehicle in a second preset area, and the first preset area and the second preset area respectively represent different lanes on real-time exit road information or real-time entrance road information;
Analyzing and processing the real-time entrance road information and the real-time driving data information to generate abnormal lane information;
and generating lane changing parameters of a target vehicle based on the abnormal lane information, wherein the target vehicle is a vehicle positioned on the abnormal lane information.
4. The method of claim 3, wherein analyzing the real-time entrance road information and the real-time driving data information to generate abnormal lane information comprises:
acquiring traffic event information;
generating road information corresponding to the traffic event information based on the traffic event information;
judging whether the road information affects a target vehicle on the road information or not;
if yes, generating abnormal lane information.
5. The method of claim 4, wherein the generating lane-change parameters of the target vehicle based on the abnormal lane information comprises:
receiving a pre-lane change request of a target vehicle;
judging the pre-lane change direction of the target vehicle according to the pre-lane change request;
if the pre-lane change direction is a left lane change, determining a front view area and a left view area of the target vehicle as a third preset area;
If the pre-lane change direction is right lane change, determining a front view area and a right view area of the target vehicle as a fourth preset area;
and taking the third preset area or the fourth preset area as a lane changing parameter of the target vehicle.
6. The method of claim 2, wherein the processing the number of lanes of the real-time entrance road information based on the target event information, after generating the first adjustment information, further comprises:
generating an adjustment result based on the first adjustment information;
when the adjustment result is insufficient to solve the abnormal state, acquiring other roads of which the road information corresponding to the target event information is away from a target range threshold value;
and processing the other roads based on a preset adjustment rule to generate second adjustment information.
7. The method of claim 2, wherein the processing the real-time entrance vehicle information and the real-time entrance road information based on the road condition pre-warning rule to generate pre-warning information further comprises:
collecting real-time traffic flow information Qi and real-time queuing length information of a toll station at the moment Ti in real time;
processing the real-time entrance road information, the real-time traffic flow information Qi at the moment Ti and the real-time queuing length information based on a preset road blocking model to generate average queuing length and average queuing vehicle number in a preset time period;
And generating the blocking degree of the real-time access road information in the preset time period based on the average queuing length and the average queuing vehicle number in the preset time period.
8. A toll gate lane allocation apparatus, the apparatus comprising:
the acquisition module is used for acquiring target road information related to the toll station;
the processing module is used for processing the target road information based on a preset processing rule to generate real-time traffic flow information, wherein the preset processing rule comprises a calculation formula for acquiring the real-time traffic flow information, and the calculation formula is as follows: ddhv=aadtK/>D, a step of performing the process; processing the real-time traffic flow information based on a preset road traffic flow calculation model to generate real-time entrance and exit vehicle information and real-time entrance and exit road information, wherein the real-time entrance and exit lane information comprises real-time exit vehicle information and real-time entrance vehicle information, and the real-time entrance and exit road information comprises real-time exit road information and real-time entrance road information; if the ratio of the traffic flow of the real-time exit vehicle information to the traffic flow of the real-time entrance vehicle information in the preset time period is greater than a preset threshold value, generating a tide lane gauge Then; and processing the real-time entrance road information based on the tide lane rule to generate target entrance lane information, wherein the target entrance lane information comprises preprocessed target exit lane information and target entrance lane information.
9. An electronic device, comprising:
a first processor; and a memory for storing executable instructions of the first processor;
wherein the first processor is configured to execute the toll gate lane allocation method according to any one of claims 1 to 7 via execution of the executable instructions.
10. A computer-readable storage medium having stored thereon a computer program, wherein the computer program, when executed by a second processor, implements the method of allocating a toll gate lane according to any one of claims 1 to 7.
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CN116206470A (en) * 2023-03-20 2023-06-02 长城汽车股份有限公司 Tidal lane adjustment method, device, equipment and system
CN116403407A (en) * 2023-05-31 2023-07-07 山东高速信息集团有限公司 Method, equipment and medium for dynamically configuring and inducing lanes of highway toll station
CN116564133A (en) * 2023-07-05 2023-08-08 蘑菇车联信息科技有限公司 Vehicle early warning method and device for tidal lane and electronic equipment

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