CN109544966B - Special vehicle route deviation analysis method and system - Google Patents
Special vehicle route deviation analysis method and system Download PDFInfo
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- CN109544966B CN109544966B CN201811422277.8A CN201811422277A CN109544966B CN 109544966 B CN109544966 B CN 109544966B CN 201811422277 A CN201811422277 A CN 201811422277A CN 109544966 B CN109544966 B CN 109544966B
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- G08G1/00—Traffic control systems for road vehicles
- G08G1/123—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams
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- G—PHYSICS
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- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0129—Traffic data processing for creating historical data or processing based on historical data
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
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- G—PHYSICS
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- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
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- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
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Abstract
The invention provides a special vehicle route deviation analysis method and a special vehicle route deviation analysis system, wherein the method comprises the following steps: acquiring a first vehicle identity of a passing vehicle and identifying a first device number of the corresponding vehicle through a vehicle identification device; and determining a preset route of the corresponding vehicle and a second device number which is identified last time according to the first vehicle identity, and judging whether the first device number is the next passing position corresponding to the second device number according to the preset route of the corresponding vehicle so as to determine whether the corresponding vehicle deviates the route. The invention can effectively supervise the running of special vehicles and timely find abnormal vehicles deviating the running route.
Description
Technical Field
The invention relates to the technical field of intelligent transportation, in particular to a special vehicle route deviation analysis method and system.
Background
In urban traffic, a part of special vehicles such as muck cars, dangerous chemical vehicles, tourist buses, school buses, internet appointment cars and the like run according to preset routes, and if the special vehicles deviate from the preset routes in the running process, abnormal driving can be determined, and further certain social management problems can be caused. For example, if the muck vehicle does not run according to a designated route of the government, the dust environment in the city range can be influenced, if the bus does not run according to the operation route of the bus, passengers at certain stops can not arrive at the bus, and if the network appointment vehicle does not run according to the planned route of the client, the rights and the safety of the passengers can not be ensured. However, whether the drivers of the special vehicles drive according to the specified execution route or not is monitored and managed by no effective and reliable means, for example, the muck vehicles, buses and the like are reported by people, so that the efficiency is low, the management intensity is not high enough, and the chance of speculating people is left. The net appointment car and the like can only observe by passengers to find abnormality in time, completely depend on the familiarity and judgment capability of the passengers on peripheral positions, cannot guarantee the full guarantee, even have many hacked and heard victims in real life, and bring heavy training to the whole society.
Disclosure of Invention
The invention aims to provide a special vehicle route deviation analysis method and system, which solve the technical problem that the abnormal conditions such as vehicle deviation route and the like cannot be found in time in the running process of a special vehicle in the prior art.
In order to solve the technical problem, the special vehicle route deviation analysis method provided by the invention comprises the following steps:
acquiring a first vehicle identity of a passing vehicle and identifying a first device number of the corresponding vehicle through a vehicle identification device;
determining a preset route of the corresponding vehicle and a second device number which is identified last time according to the identity of the first vehicle, and judging whether the first device number is the next passing position corresponding to the second device number according to the preset route of the corresponding vehicle so as to determine whether the corresponding vehicle deviates the route;
further, a first difference value between a first identification time of the first device for identifying the corresponding vehicle and a second identification time of the second device for identifying the corresponding vehicle is calculated, a first average traveling time from the second device to the first device is obtained, and when a second difference value between the first difference value and the first average traveling time exceeds a corresponding tolerance time range, the corresponding vehicle deviation route is determined.
As a further improvement of the special vehicle route deviation analysis method, whether the corresponding vehicle is a special vehicle needing to be supervised is judged according to the first vehicle identity, and if not, the route deviation analysis is skipped.
As a further improvement of the special vehicle route deviation analysis method of the present invention, the first average travel time is based on a time average of travel of the corresponding vehicle between the second device and the first device in the historical time period.
As a further improvement of the special vehicle route deviation analysis method, when the corresponding vehicle deviation route is determined, reminding information is sent to a driver determined based on the first vehicle identity or early warning information is sent to a relation of interest person.
As a further improvement of the special vehicle route deviation analysis method, the sent reminding information comprises navigation information for guiding the corresponding vehicle to return to a preset route, whether the corresponding vehicle continuously deviates the route is determined according to the sequence of the identification device of the navigation information, and if so, the attendance personnel in the nearby area are directly notified.
As a further improvement of the special vehicle route deviation analysis method according to the present invention, the preset route is preferentially planned with a route in which the vehicle identification device is disposed.
In order to solve the technical problem, the special vehicle route deviation analysis method provided by the invention comprises the following steps:
acquiring a first vehicle identity of a passing vehicle and identifying a first device number of the corresponding vehicle through a vehicle identification device;
determining a preset route of the corresponding vehicle according to the identity of the first vehicle, determining a third device number of next identification of the corresponding vehicle based on the preset route of the corresponding vehicle, determining second average running time between the first device and the third device according to the combination of the first device number and the third device number, not acquiring a new identification record of the corresponding vehicle within a tolerance time range corresponding to the second average running time, and determining an offset route of the corresponding vehicle.
In order to solve the above technical problem, the present invention provides a special vehicle route deviation analysis system, including:
the first obtaining unit is used for obtaining a first vehicle identity of a passing vehicle and identifying a first device number of the corresponding vehicle through the vehicle identification device;
the first analysis unit is used for determining a preset route of the corresponding vehicle and a second device number which is identified last time according to the first vehicle identity, and judging whether the first device number is the next passing position corresponding to the second device number according to the preset route of the corresponding vehicle so as to determine whether the corresponding vehicle deviates the route;
further, the method includes calculating a first difference value between a first identification time of the first device for identifying the corresponding vehicle and a second identification time of the second device for identifying the corresponding vehicle, obtaining a first average traveling time from the second device to the first device, and determining the corresponding vehicle deviation route when a second difference value between the first difference value and the first average traveling time exceeds a corresponding tolerance time range.
In order to solve the above technical problem, the present invention provides a special vehicle route deviation analysis system, including:
the second acquisition unit is used for acquiring the first vehicle identity of the passing vehicle and identifying the first device number of the corresponding vehicle through the vehicle identification device;
and the second analysis unit is used for determining a preset route of the corresponding vehicle according to the identity of the first vehicle, determining a third device number for next identification of the corresponding vehicle based on the preset route of the corresponding vehicle, determining second average running time between the first device and the third device according to the combination of the first device number and the third device number, acquiring no new identification record of the corresponding vehicle within a tolerance time range corresponding to the second average running time, and determining the offset route of the corresponding vehicle.
Compared with the prior art, the vehicle identification device arranged on the road monitors the passing vehicles, obtains the running records of the corresponding vehicles, compares the running records with the preset routes of the corresponding vehicles, and determines that the vehicles which do not pass through the corresponding positions according to the sequence of the corresponding vehicle identification device are the vehicles with the offset routes. The invention can effectively supervise the running of special vehicles and timely find abnormal vehicles deviating the running route.
Other features and advantages of the present invention will become more apparent from the detailed description of the embodiments of the present invention when taken in conjunction with the accompanying drawings.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of a special vehicle route deviation analysis method according to an embodiment of the present invention.
Fig. 2 is a flowchart of a special vehicle route deviation analysis method according to an embodiment of the invention.
Fig. 3 is a flowchart of a special vehicle route deviation analysis method according to an embodiment of the invention.
Fig. 4 is a schematic diagram of a route deviation analysis system of a special vehicle according to an embodiment of the invention.
Fig. 5 is a schematic diagram of a route deviation analysis system of a special vehicle according to an embodiment of the invention.
Detailed Description
The present invention will be described in detail below with reference to embodiments shown in the drawings. These embodiments are not intended to limit the present invention, and structural, methodological, or functional changes made by those skilled in the art according to these embodiments are included in the scope of the present invention.
It should be noted that the same reference numbers or symbols may be used in different embodiments, but these do not represent an absolute relationship in structure or function. Also, references to "first", "second", and the like in the embodiments do not represent absolute relationships of structural or functional distinction, and these are merely for convenience of description.
In order to strengthen the supervision of the vehicles on the road, a vehicle identification device is arranged at a key position of the road, and the vehicle identification device can identify the passing vehicles to obtain identification records of information such as identities, identification time and the like of the corresponding vehicles, so that the positions of the corresponding vehicles at specific time nodes can be judged through the identification records collected by the vehicle identification device, and further, a continuous driving track can be connected in series in sequence based on time. Specifically, the vehicle identification device may be a traffic camera or a radio frequency identification reader/writer, the traffic camera obtains information such as an identity corresponding to a vehicle by performing image analysis on an iron plate number on the vehicle, and the radio frequency identification reader/writer obtains information such as a vehicle identity fed back by interacting with an electronic identification of a motor vehicle on a front windshield of the vehicle by using a radio frequency signal. The vehicle identification device arranged at different positions of the road can be used for collecting the running conditions of various vehicles on the road. With the popularization of the electronic identification standard of the motor vehicle, the vehicle identification device is preferably a radio frequency identification reader-writer, the adopted frequency band is 920MHz-925MHz, and compared with a traffic camera, the vehicle identification device is higher in identification accuracy and not easily influenced by weather such as rain, fog and the like.
As shown in fig. 1, a flow chart of a special vehicle route deviation analysis method according to an embodiment of the present invention is shown. The special vehicle route deviation analysis method specifically comprises the following steps:
and step S11, acquiring a first vehicle identity of the passing vehicle and a first device number for identifying the corresponding vehicle through the vehicle identification device. As described above, the vehicle identification device is a device specifically used for identifying information such as the identity of a passing vehicle, when the vehicle passes through the position of the corresponding vehicle identification device, the vehicle identification device collects an identification record of the corresponding vehicle, the identification record may specifically include a first vehicle identity, such as sua 12345, of the corresponding passing vehicle, and an identity, i.e., a first device number, of the vehicle identification device for identifying the corresponding vehicle is also recorded in the same identification record of the corresponding vehicle, the first device number may be used for uniquely identifying one vehicle identification device installed at the corresponding position, the first device number may be used for representing longitude and latitude information of the vehicle identification device, or a serial number after the vehicle identification device leaves a factory, and the like, and the information such as the installation position of the corresponding vehicle identification device may be determined by the first device number, thus, it is possible to determine which vehicle identification device identifies the corresponding vehicle and the passing position of the corresponding vehicle. The obtaining process of step S11 is a continuous passive process, and once a vehicle passes through the corresponding vehicle identification device, the vehicle identification device can continuously obtain the identification records of the passing vehicle, so as to analyze whether the running of the corresponding vehicle in the records meets certain requirements according to each identification record. The special vehicles can comprise muck vehicles, dangerous chemical vehicles, tourist buses, school buses, online appointments and the like, and are characterized in that vehicles belonging to the public field run according to a preset route, and often vehicle drivers need to be restricted by certain rules to drive the route through which the vehicles pass.
Step S12 is a further analysis processing procedure performed based on the identification record obtained in step S11, it should be noted that both steps may be a concurrent process performed at the same time, the identification record obtained in step S11 may be stored in the database according to the obtaining time, step S12 may analyze each identification record in the database one by one, and step S11 and step S12 have no absolute precedence relationship. In a preferred embodiment, the identification records of all vehicles collected in step S11, including both the identification record of the passage of a special vehicle and the identification record of the passage of a non-special vehicle, the usual travel route of the non-special vehicles is random, such as private cars, and the travel of the non-special vehicles is completely dependent on the own travel arrangement of drivers, therefore, no further analysis is necessary for the identification records of non-specific vehicles, so that whether the corresponding vehicle is a special vehicle needing supervision can be judged according to the first vehicle identity, specifically, the vehicle type obtained by inquiring the first vehicle identity is a bus, and then the vehicle belongs to the special vehicle, if the vehicle is a private car, the vehicle belongs to a non-classified vehicle, the analysis of the route deviation can be skipped, since the non-specific vehicle such as a private car is not restricted by the specific route rule, the corresponding analysis process in step S12 is not performed. Furthermore, the supervised special vehicle also comprises a corresponding supervision time attribute, the time range of the corresponding vehicle needing supervision can be obtained through inquiry, and the identification time of the first vehicle is determined as the special vehicle needing supervision only in the corresponding supervision time range.
Step S12, determining a preset route of the corresponding vehicle and a second device number identified last time according to the first vehicle identity, and determining whether the first device number is a next passing position corresponding to the second device number according to the preset route of the corresponding vehicle to determine whether the corresponding vehicle deviates from the route. Step S12 is based on the vehicle identification record obtained in step S11, taking a specific first vehicle as an example, each time the first vehicle is identified by the vehicle identification device at a specific location, there is an identification record recording the first vehicle, and the corresponding identification record obtained by the specific vehicle identification device includes the first vehicle identity and the number of the corresponding device, so that the relevant accessory information of the corresponding vehicle can be determined by the first vehicle identity, for example, the registration information of the vehicle or the extension information bound to the vehicle identity can be known. In this embodiment, the preset route of the corresponding vehicle may be determined by the first vehicle identity, where the preset route is query information that is set in advance and is bound to the vehicle with the corresponding identity, and is used to indicate the route information of the starting point, the ending point, and the approach point of the vehicle, and may indicate the passing order of the corresponding positions of different vehicle identification devices. Taking the slag car and the like as an example, in order to restrict the driving path of the slag car, the related management department will inform the driving path which the corresponding driver must follow in advance, and the preset path will be stored in the corresponding server in the embodiment, and the corresponding preset path can be called out through the first vehicle identity. In a specific embodiment, the preset route can also be pushed to a navigation device on the vehicle according to the setting, and used as a reference guide for the actual driving of the driver. In more embodiments, taking a network taxi appointment and the like as an example, the preset route may be related route information submitted by a passenger when initiating a corresponding taxi taking service, the preset route may be a route in which a recommended path is automatically generated based on a taxi taking position of the passenger to a destination input by the passenger, and a route in which a vehicle recognition device is arranged is particularly and preferentially planned, so that a route deviation condition of a whole-course supervision vehicle can be guaranteed. The route selected by the vehicle identification device in the route planning is not necessarily only applied to the embodiment of network appointment, but also applied to other special vehicle supervision scenes such as the muck vehicle and the like according to needs.
After the preset route of the corresponding vehicle is determined, the sequence of the corresponding positions of the different vehicle identification devices, which the corresponding vehicle should pass through, can be determined based on the preset route, the preset route can be a serial sequence of the vehicle identification devices with different positions, or a route track mapped on a map, and the relevant vehicle identification device number sequence is extracted by connecting to the corresponding vehicle identification device information on the map. By acquiring the related preset route, the actual running route of the corresponding vehicle can be compared, and specifically, the identification records corresponding to different vehicle identification devices are used as comparison bases. Since the identification records of the corresponding vehicles passing through different vehicle identification devices can be stored in the corresponding database according to the elapsed time (i.e. the time when the corresponding vehicle identification device identifies the corresponding vehicle information), the second device number for identifying the corresponding vehicle for the last time can be determined according to the elapsed time, namely, the position of the vehicle identification device corresponding to the last passing vehicle on the vehicle relative to the position of the first device in the identification record of this time is the second device number, the second device determines a section of path for the corresponding vehicle to actually travel from the first device, and whether the first device number is the next passing position corresponding to the second device number is determined according to the preset route of the corresponding vehicle, namely whether the position of the corresponding vehicle passing through the second device is included in the preset route, and whether the position of the corresponding vehicle passing through the first device is immediately after the position of the second device is included in the preset route, if the corresponding vehicle deviates from the preset route, the corresponding vehicle is judged to be driven according to the rule of the preset route, if not, the corresponding vehicle is judged not to be driven according to the preset route, but the route is changed to pass through other positions and is identified by vehicle identification devices arranged at other positions, and therefore the corresponding vehicle can be judged to deviate from the preset route. It should be noted that the first device and the second device are a cyclic process, and when the vehicle continues to travel, the previously determined first device may be determined as the second device, i.e., the vehicle identification device corresponding to the last passing position, so that the newly passing vehicle identification device is determined as the first device, and thus the comparison determination with the preset route is repeatedly performed.
In a further embodiment, a first difference value between a first identification time at which the first device identifies the corresponding vehicle and a second identification time at which the second device identifies the corresponding vehicle is also calculated, and as described above, the identification time at which the vehicle identification device identifies the corresponding vehicle may represent an elapsed time for the corresponding vehicle to pass through the position of the corresponding vehicle identification device, and the identification time may be time information recorded by the vehicle identification device when the corresponding vehicle is identified, and the actual travel time of the corresponding vehicle from the second device to the first device may be determined by calculating the first difference value. Then, a first average travel time between the second device and the first device is obtained by the inquiry, the first average travel time being used to represent an approximate time taken for a normal vehicle to arrive at the first device from the second device, and whether the vehicle travels along a specific route between the second device and the first device in the preset route is analyzed by comparing the first average travel time with a first difference value. It should be noted that the supervision strength of the vehicle in this embodiment is determined by the installation density of the vehicle identification device, and there may be a plurality of road selections between the corresponding second device and the first device in the preset route, and the vehicle specifically selects which road, if there is no corresponding vehicle identification device to identify, so that the determination may be assisted by the first average travel time because the corresponding average travel time is different for different selected roads due to conditions such as length, congestion, and the like, and the first average travel time is the estimated average travel time of the corresponding selected road in the preset route, so that when the second difference between the first difference and the first average travel time exceeds the corresponding tolerance time range, that is, the error between the first difference and the first average travel time is very large, including being much smaller than the first average travel time or being much larger than the first average travel time, that is, it is determined that the corresponding vehicle does not travel on the road selected in the preset route to the position of the first device, and thus the corresponding vehicle deviates from the route. It is further described that the first difference value representing the actual transit time of the corresponding vehicle is T, the first average travel time is Ta, and the corresponding margin time range may be K, and the corresponding vehicle is determined to normally travel on the preset route only when the actual transit time of the corresponding vehicle is Ta-K < T < Ta + K, where the magnitude of the error determination is controlled by the margin time range. The first average travel time may be a pre-stored estimated value according to the road condition, and different estimated values may be selected according to the specific road corresponding to the preset route. In a preferred embodiment, the first average travel time is a time average based on the travel of the corresponding vehicle between the second device and the first device within the history period. The selection of the historical time period may take 1 hour, half hour, 5 minutes, etc. to refresh once, depending on the setting. Specifically, by timing tasks, the system maintains an array mapping relationship between different roads and average travel time, and determines different average travel times according to the traffic conditions of the corresponding roads in a certain past time period. The statistical analysis of the average travel time is to perform average calculation on the transit times of different vehicles to obtain corresponding average travel time based on new transit records in a set time period, preferably, separate statistics may also be performed on the average travel times of different types of vehicles, and when the corresponding first average travel time is called for analysis, the average travel time of the corresponding type of vehicle may also be selected according to the identity of the first vehicle.
When the corresponding vehicle offset route is determined in step S12, the registered driver and the communication mode of the driver may be determined according to the identity of the first vehicle, and these information may be stored in advance for inquiry by management, specifically, a reminder may be sent to the driver to remind the corresponding driver that the corresponding route management rule has been violated, and further, the offset record may be registered and counted for later inquiry management. Further, the early warning information may also be sent to the relevant interested person, for example, the early warning information may be sent to the corresponding monitoring platform, so that the relevant monitoring person may know the field situation in time, or in the application scenarios such as online car appointment, the corresponding early warning information may be sent to the passenger or the emergency contact of the passenger, and specifically, the early warning information may include content information that the vehicle does not travel according to the planned route, the current approximate position of the vehicle, and the like. In the embodiment of sending the reminding information to the driver, the method may further include guiding the corresponding vehicle to return to the navigation information of the preset route, the specific navigation information may be directly displayed on the navigation device of the corresponding vehicle, the driver may guide and correct the wrong driving route in time according to the path on the navigation device, and determine whether the corresponding vehicle continues to deviate from the route according to the sequence of the identification device of the navigation information. Preferably, the returned navigation information can fully consider the arrangement situation of the surrounding vehicle identification devices, and the planned navigation route can ensure that the vehicle reaches the position of a certain vehicle identification device as soon as possible, so that whether the corresponding vehicle actually takes route correction measures or not can be analyzed as early as possible. Through judgment, if the corresponding vehicle still deviates from the route, it is shown that the driver of the corresponding vehicle really has actual illegal route driving behavior, at this time, the duty personnel in the nearby area can be determined according to the current position of the corresponding vehicle, and the current position of the corresponding vehicle can send a notification message to the duty personnel according to the position where the first device is located, which is determined at the latest time of the identification time, so as to ensure that the duty personnel timely stop corresponding uncontrollable behavior.
Referring to fig. 3 in detail, the vehicle identification devices at different positions detect the vehicle passing event, and continuously identify the passing vehicle, when identifying the identification record of a new vehicle, the vehicle identification devices can first determine whether the new vehicle is a special vehicle needing to be monitored according to the information such as the identity of the vehicle, if the new vehicle is a special vehicle such as a muck vehicle, the analysis is continued within the corresponding monitoring time range, and if the new vehicle is not a special vehicle, the analysis of the same-row vehicles in the identification record is ended. Since the record of the vehicle identification by the vehicle identification means for each position is stored, the identification record corresponding to the position on the vehicle can be acquired, namely, the record of the last recognition of the corresponding vehicle can be determined by the recognition time, so that the driving path of the corresponding vehicle in the last time period can be determined, whether the preset route is met or not is judged, if not, determining the corresponding vehicle to deviate the route, if yes, further calculating the actual running time of the corresponding vehicle from the last position to the current position, judging whether the tolerance range of the average running time is reached, if the deviation is not found, the analysis is finished, and if the deviation is not found, the deviation route of the corresponding vehicle is determined.
As shown in fig. 2, a flow chart of a special vehicle route deviation method according to an embodiment of the present invention is shown. The special vehicle route deviation analysis method specifically comprises the following steps:
and step S21, acquiring a first vehicle identity of the passing vehicle and a first device number for identifying the corresponding vehicle through the vehicle identification device. Similar to the embodiment in fig. 1, the identification records of the passing vehicle are collected by the vehicle identification devices at different positions, and the specific identification records may include the identity of the passing vehicle, the number of the vehicle identification device for identifying the passing vehicle at the corresponding position, and the like, and further may include the time for identifying the passing vehicle, that is, the time for identifying the passing vehicle, and the like. In a specific implementation mode, whether the corresponding vehicle is a special vehicle needing supervision is judged according to the first vehicle identity, and if not, analysis of route deviation is skipped.
Step S22, determining a preset route of the corresponding vehicle according to the identity of the first vehicle, determining a third device number for next identification of the corresponding vehicle based on the preset route of the corresponding vehicle, determining second average running time between the first device and the third device according to the combination of the first device number and the third device number, acquiring no new identification record of the corresponding vehicle within a tolerance time range corresponding to the second average running time, and determining an offset route of the corresponding vehicle. Compared with the embodiment of fig. 1, the embodiment emphasizes real-time performance, or when the vehicle directly leaves the supervision area, the corresponding vehicle identification device cannot identify the corresponding vehicle for application. Specifically, a preset route of the corresponding vehicle is determined according to the first vehicle identity, the preset route is set in advance according to the path requirement of the corresponding vehicle, and specifically, reference may be made to the contents of the foregoing embodiment. After the preset route of the corresponding vehicle is confirmed, the number of the third device for identifying the corresponding vehicle next by the corresponding vehicle is determined through the preset route, namely the position of the vehicle identification device which is passed by the corresponding vehicle next after the corresponding vehicle passes through the first device is also confirmed at the current time node. In this case, the analysis may be performed by performing a loop determination for finding an offset route of the vehicle earlier after the corresponding vehicle has just passed the position of the first device, or performing a route offset analysis at a predetermined timing when the first device is determined not to be updated again since the vehicle recognition device capable of recognizing the corresponding vehicle information is no longer present on the offset route after the corresponding vehicle has passed the first device. In the present embodiment, therefore, the second average travel time between the first device to the third device is determined based on the combination of the first device number and the third device number, if no new identification record is obtained for the corresponding vehicle in the tolerance time range corresponding to the exceeding of the second average running time, it can also be understood that no new identification record is obtained for the corresponding vehicle in the exceeding of the maximum required time for the first device to run to the third device, and similarly, it is assumed that the third difference value between the first identification time for the first device to identify the corresponding vehicle and the current time is T, and the second average driving time is Tb, the corresponding tolerance time range can be K, T > Tb + K does not acquire a new identification record of the corresponding vehicle, the corresponding vehicle is determined not to arrive at the position of the next vehicle identification device specified in the preset route on time, and the corresponding vehicle is determined to deviate from the route at the moment. In a preferred embodiment, the second average travel time is based on a time average of travel of the corresponding vehicle between the first device and the third device over the historical period of time.
In further embodiments, when determining that the corresponding vehicle deviates from the route, sending a reminding message to a driver determined based on the first vehicle identity or sending an early warning message to a stakeholder. Preferably, the sent reminding information comprises navigation information for guiding the corresponding vehicle to return to a preset route, whether the corresponding vehicle continuously deviates the route is determined according to the sequence of the identification device of the navigation information, and if yes, the attendance personnel in the nearby area are directly notified. Similarly, the specific determination method is to determine the number of the third device for the next identification through the navigation information, obtain the maximum required time for reaching the third device according to the query, and determine that the corresponding vehicle continues to deviate the route when a new identification record of the corresponding vehicle is not obtained after the maximum required time is exceeded.
As shown in fig. 4, a schematic diagram of a special vehicle route deviation analysis system according to an embodiment of the present invention is shown. The special vehicle route deviation analysis system specifically comprises a first acquisition unit U11 and a first analysis unit U12.
The first obtaining unit U11 is configured to obtain, by a vehicle identification device, a first vehicle identity of a passing vehicle and a first device number identifying a corresponding vehicle. The vehicle identification device is arranged on a road and used for identifying information such as the identity and the identification time of a vehicle so as to generate corresponding identification records, and each identification record also comprises a number of the corresponding vehicle identification device which is responsible for collecting. In the first obtaining unit U11, a first vehicle identity is obtained through a first device, and it may be determined whether the corresponding vehicle is a special vehicle that needs to be supervised according to the first vehicle identity, and if not, the analysis of the route deviation is skipped.
And the first analysis unit U12 is configured to determine, according to the identity of the first vehicle, a preset route of the corresponding vehicle and a second device number that is identified most recently, and determine, according to the preset route of the corresponding vehicle, whether the first device number is a next passing location corresponding to the second device number to determine whether the corresponding vehicle deviates from the route. The first analysis unit U12 may obtain the preset route of the corresponding vehicle through the first vehicle identity query, and compare the preset route with the actual driving route of the corresponding vehicle. Specifically, in order to improve the accuracy of the route deviation analysis, the first analysis unit U12 calculates a first difference between a first recognition time when the first device recognizes the corresponding vehicle and a second recognition time when the second device recognizes the corresponding vehicle, obtains a first average travel time between the second device and the first device, and determines the corresponding vehicle deviation route when a second difference between the first difference and the first average travel time exceeds a corresponding tolerance time range. Further, the first average travel time is based on a time average of travel of the corresponding vehicle between the second device and the first device over the historical period of time.
The first analysis unit U12 may further trigger an alarm function after determining the corresponding vehicle offset route, and specifically, the first analysis unit U12 sends a reminding message to a driver determined based on the first vehicle identity or sends an early warning message to a stakeholder when determining the corresponding vehicle offset route. Preferably, the sent reminding information comprises navigation information for guiding the corresponding vehicle to return to a preset route, whether the corresponding vehicle continuously deviates the route is determined according to the sequence of the identification device of the navigation information, and if yes, the attendance personnel in the nearby area are directly notified. The specific contents of the special vehicle route deviation analysis system in the present embodiment may refer to the specific contents of the special vehicle route deviation analysis method described above.
As shown in fig. 5, a schematic diagram of a special vehicle route deviation analysis system according to an embodiment of the present invention is shown. The special vehicle route deviation analysis system specifically comprises a second acquisition unit U21 and a second analysis unit U22.
The second obtaining unit U21 is configured to obtain, by the vehicle identification device, a first vehicle identity of the passing vehicle and a first device number identifying the corresponding vehicle. The second acquiring unit U21 is similar to the first acquiring unit U11 in the above-described embodiment, and similarly identifies a passing vehicle by a vehicle identification device, obtains the identity of the vehicle, the identification time, the number of the identification device, and the like. Preferably, the second obtaining unit U21 determines whether the corresponding vehicle is a special vehicle that needs to be supervised according to the first vehicle identity, and if not, skips the analysis of the route deviation. If so, the second analysis unit U22 may be triggered to perform the corresponding analysis.
And the second analysis unit U22 is configured to determine a preset route of the corresponding vehicle according to the identity of the first vehicle, determine a third device number for next identification of the corresponding vehicle based on the preset route of the corresponding vehicle, determine a second average driving time between the first device and the third device according to a combination of the first device number and the third device number, obtain no new identification record of the corresponding vehicle within a tolerance time range corresponding to the second average driving time, and determine an offset route of the corresponding vehicle. Preferably, the second average travel time is based on a time average of travel of the corresponding vehicle between the first device and the third device within the historical period of time.
After the corresponding vehicle deviation route is determined, the second analysis unit U12 may further trigger an alarm function, and specifically, when the corresponding vehicle deviation route is determined, the second analysis unit U12 sends a reminding message to a driver determined based on the first vehicle identity or sends an early warning message to a relation of interest. Preferably, the sent reminding information comprises navigation information for guiding the corresponding vehicle to return to a preset route, whether the corresponding vehicle continuously deviates the route is determined according to the sequence of the identification device of the navigation information, and if yes, the attendance personnel in the nearby area are directly notified. Determining whether the corresponding vehicle continues to deviate the route according to the sequence of the identification devices of the navigation information, which may specifically include determining a number of a third device identified next by the navigation information, obtaining a maximum required time for reaching the third device according to the query, and determining that the corresponding vehicle continues to deviate the route when a new identification record of the corresponding vehicle is not obtained even if the maximum required time is exceeded. The specific contents of the special vehicle route deviation analysis system in the present embodiment may refer to the specific contents of the special vehicle route deviation analysis method described above.
In connection with the technical solutions of the methods disclosed in the present Application, the methods may be directly embodied as hardware, a software module executed by a control unit, or a combination of the two, that is, one or more steps and/or one or more steps combinations, and may correspond to each software module of a computer program flow, or may correspond to each hardware module, for example, an ASIC (Application specific integrated Circuit), an FPGA (Field Programmable Gate Array), or other Programmable logic device, a discrete Gate or transistor logic device, a discrete hardware component, or any suitable combination thereof. For convenience of description, the above-mentioned apparatuses are described as being divided into various modules by functions, and of course, the functions of the modules may be implemented in one or more software and/or hardware when implementing the present application.
From the above description of the embodiments, it is clear to those skilled in the art that the present application can be implemented by software plus necessary general hardware platform. Based on this understanding, the technical solutions of the present application may be embodied in the form of software products, which essentially or partially contribute to the prior art. The software is executed by a micro-control unit, which may include one or more micro-control units of any type, depending on the desired configuration, including but not limited to a micro-control unit, a microcontroller, a DSP (Digital Signal Processor), or any combination thereof. The software is stored in a memory, such as a volatile memory (e.g., random access memory, etc.), a non-volatile memory (e.g., read-only memory, flash memory, etc.), or any combination thereof.
In summary, the vehicle identification device arranged on the road supervises the passing vehicle, obtains the running record of the corresponding vehicle, compares the running record with the preset route of the corresponding vehicle, and determines that the vehicle which does not pass through the corresponding position identification device in the sequence of the corresponding vehicle identification device is the vehicle with the offset route. The invention can effectively supervise the running of special vehicles and timely find abnormal vehicles deviating the running route.
It should be understood that although the present description refers to embodiments, not every embodiment contains only a single technical solution, and such description is for clarity only, and those skilled in the art should make the description as a whole, and the technical solutions in the embodiments can also be combined appropriately to form other embodiments understood by those skilled in the art.
The above-listed detailed description is only a specific description of a possible embodiment of the present invention, and they are not intended to limit the scope of the present invention, and equivalent embodiments or modifications made without departing from the technical spirit of the present invention should be included in the scope of the present invention.
Claims (9)
1. A special vehicle route deviation analysis method is characterized by comprising the following steps:
acquiring a first vehicle identity of a passing vehicle and identifying a first device number of the corresponding vehicle through a vehicle identification device;
determining a preset route of the corresponding vehicle and a second device number which is identified last time according to the identity of the first vehicle, and judging whether the first device number is the next passing position corresponding to the second device number according to the preset route of the corresponding vehicle so as to determine whether the corresponding vehicle deviates the route;
further, a first difference value between a first identification time of the first device for identifying the corresponding vehicle and a second identification time of the second device for identifying the corresponding vehicle is calculated, a first average traveling time from the second device to the first device is obtained, and when a second difference value between the first difference value and the first average traveling time exceeds a corresponding tolerance time range, the corresponding vehicle deviation route is determined.
2. The special vehicle route deviation analysis method according to claim 1, wherein whether the corresponding vehicle is a special vehicle that needs to be supervised is judged according to the first vehicle identity, and if not, the analysis of the route deviation is skipped.
3. A special vehicle route deviation analysis method as claimed in claim 1, wherein the first average travel time is based on an average of the time a respective vehicle travels between the second device and the first device over a historical period of time.
4. The special vehicle route deviation analysis method according to claim 1, wherein when the corresponding vehicle deviation route is determined, a reminding message is sent to a driver determined based on the first vehicle identity or an early warning message is sent to a relation of interest person.
5. The special vehicle route deviation analysis method according to claim 4, wherein the sent reminding information comprises navigation information for guiding the corresponding vehicle to return to a preset route, whether the corresponding vehicle continuously deviates the route is sequentially determined according to the identification device of the navigation information, and if yes, a duty staff in a nearby area is directly notified.
6. The special vehicle route deviation analysis method according to claim 1, wherein the preset route preferentially plans the route in which the vehicle identification device is arranged.
7. A special vehicle route deviation analysis method is characterized by comprising the following steps:
acquiring a first vehicle identity of a passing vehicle and identifying a first device number of the corresponding vehicle through a vehicle identification device;
determining a preset route of the corresponding vehicle according to the identity of the first vehicle, determining a third device number of next identification of the corresponding vehicle based on the preset route of the corresponding vehicle, determining second average running time between the first device and the third device according to the combination of the first device number and the third device number, not acquiring a new identification record of the corresponding vehicle within a tolerance time range corresponding to the second average running time, and determining an offset route of the corresponding vehicle.
8. A special vehicle course deviation analysis system, comprising:
the first obtaining unit is used for obtaining a first vehicle identity of a passing vehicle and identifying a first device number of the corresponding vehicle through the vehicle identification device;
the first analysis unit is used for determining a preset route of the corresponding vehicle and a second device number which is identified last time according to the first vehicle identity, and judging whether the first device number is the next passing position corresponding to the second device number according to the preset route of the corresponding vehicle so as to determine whether the corresponding vehicle deviates the route;
further, the method includes calculating a first difference value between a first identification time of the first device for identifying the corresponding vehicle and a second identification time of the second device for identifying the corresponding vehicle, obtaining a first average traveling time from the second device to the first device, and determining the corresponding vehicle deviation route when a second difference value between the first difference value and the first average traveling time exceeds a corresponding tolerance time range.
9. A special vehicle route deviation analysis system is characterized by comprising
The second acquisition unit is used for acquiring the first vehicle identity of the passing vehicle and identifying the first device number of the corresponding vehicle through the vehicle identification device;
and the second analysis unit is used for determining a preset route of the corresponding vehicle according to the identity of the first vehicle, determining a third device number for next identification of the corresponding vehicle based on the preset route of the corresponding vehicle, determining second average running time between the first device and the third device according to the combination of the first device number and the third device number, acquiring no new identification record of the corresponding vehicle within a tolerance time range corresponding to the second average running time, and determining the offset route of the corresponding vehicle.
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| CN110491082A (en) * | 2019-08-15 | 2019-11-22 | 问问智能信息科技有限公司 | A kind of linkage processing method and device based on wearable device |
| CN111862586B (en) * | 2019-12-11 | 2021-10-15 | 北京嘀嘀无限科技发展有限公司 | Method and device for determining abnormal road section of road area and storage medium |
| CN111127935A (en) * | 2019-12-13 | 2020-05-08 | 广东电网有限责任公司 | Bus dispatching path analysis method and system |
| CN111599173A (en) * | 2020-05-12 | 2020-08-28 | 杭州云视通互联网科技有限公司 | Vehicle information automatic registration method, computer equipment and readable storage medium |
| CN112258881B (en) * | 2020-10-21 | 2021-07-16 | 贵州汇联通电子商务服务有限公司 | Vehicle management method based on intelligent traffic |
| CN114241795A (en) * | 2021-11-18 | 2022-03-25 | 浙江大华技术股份有限公司 | Signal lamp adjusting method and device and computer readable storage medium |
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