CN113657681A - Method, system and storage medium for linking intelligent bus station and shared traffic - Google Patents
Method, system and storage medium for linking intelligent bus station and shared traffic Download PDFInfo
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Abstract
The application relates to a method, a system and a storage medium for connecting intelligent bus stations and shared traffic, wherein the method comprises the following steps: obtaining passenger orders submitted by the mobile equipment; generating a scheme combination comprising a plurality of candidate plans based on a passenger order, and sequencing each candidate route in the scheme combination based on bus travel time and outbound travel time, wherein the candidate plans comprise a plurality of different candidate routes, and the outbound travel time is determined based on the state of a shared vehicle at a terminal station; pushing the scheme combination to the mobile device; and acquiring a preselected path, and scheduling the operating vehicle and locking the shared vehicle corresponding to the terminal station based on the preselected path, wherein the preselected path is a candidate path determined by the mobile device based on the scheme combination. This application has improved the convenience of passenger's journey of leaving a station after utilizing intelligent public transit trip through the mode that combines intelligent public transit and shared traffic.
Description
Technical Field
The present application relates to the field of public transportation, and more particularly, to a method, system, and storage medium for joining intelligent bus stops and shared traffic.
Background
Along with the gradual maturity of unmanned technology, electronic operating vehicle will progressively increase and the informationization degree improves gradually, will appear providing the intelligent bus stop that data information supported for electronic operating vehicle at will, and the passenger can wait and rest in intelligent bus stop to obtain electronic operating vehicle's relevant information in real time. Specifically, the passenger capacity of the intelligent bus station is large, and a user can pre-contract the bus platform through the on-line order system, so that the bus platform can accurately send the electric commercial vehicle to the intelligent bus station within a set time period.
At present, the 'last kilometer' of public transport means is a main obstacle for urban residents to travel by adopting public transport, and is also a main challenge in the process of building green cities and low-carbon cities. In the related art, the vicinity of a bus stop is often accompanied by a parking area sharing vehicles, such as a parking area sharing a single vehicle. The number of shared parking is somewhat time dependent and there are also significant contingencies. When a passenger arrives at a bus station, the passenger generally needs to worry about whether a good shared bicycle can be found, and when the passenger cannot find the shared bicycle and has a long travel, the passenger can only ask a taxi by lifting or reserve a network reservation platform, so that the problems of high cost and uncertain travel time exist.
Disclosure of Invention
In order to improve convenience of passengers in outbound journey after traveling by using an intelligent bus, the application provides a method, a system and a storage medium for connecting the intelligent bus station and shared traffic.
In a first aspect, the method for connecting an intelligent bus stop and shared traffic provided by the application adopts the following technical scheme:
a method for connecting intelligent bus stops and shared traffic comprises the following steps:
an information acquisition step: the method comprises the steps of obtaining a passenger order submitted by a mobile device, wherein the passenger order comprises a journey starting point and a journey ending point, the journey starting point is an originating station or a passenger originating place, and the journey ending point is a passenger destination place;
path planning step: generating a scheme combination comprising a plurality of plans to be selected based on a passenger order, and sequencing all routes to be selected in the scheme combination based on bus travel time and outbound travel time, wherein the starting point of the plans to be selected corresponds to the travel starting point of the passenger order, the end point of the plans to be selected is an end point platform close to the destination, the plans to be selected comprise a plurality of different routes to be selected, and the outbound travel time is determined based on the state of a shared transport means of the end point platform;
a path pushing step: pushing the scheme combination to the mobile device;
a pre-selection scheduling step: and acquiring a preselected path, and scheduling the operating vehicle and locking the shared vehicle corresponding to the terminal station based on the preselected path, wherein the preselected path is a candidate path determined by the mobile device based on the scheme combination.
By adopting the technical scheme, the passenger scans the two-dimensional code by using the mobile equipment before going out, or logs in green trip software to submit a passenger order, and the passenger order at least comprises the trip starting point information and the trip end point information. And then, a scheme combination is made based on the starting point and the end point of the travel, the scheme combination internally comprises a plurality of plans to be selected, and each plan to be selected corresponds to a plurality of paths to be selected. And carrying out division according to the map information, wherein each area comprises a bus stop, and if the travel starting point of the passenger is a starting place with a certain distance from the starting station, the bus stop sends the passenger to the corresponding bus stop from the starting place before sending out vehicles such as a shared transfer vehicle and the like. If the passenger does not select the docking mode, the passenger selects the originating station. Because different paths have different advantages, different passengers can select different schemes based on own preferences, such as the path with the shortest total time length, the path with the shortest outbound journey time, the path with less walk after outbound, and the like. The passenger selects and determines the path to be selected as the preselected path in the mobile device, the server schedules the operating vehicle based on the preselected path, and locks a shared vehicle of the terminal station corresponding to the preselected path in a payment mode so as to avoid the preemptive occupation of other passengers. Passengers can go to the travel terminal through the shared vehicle when arriving at the station. By the method, accurate delivery and effective utilization of the shared transportation means can be realized, the worry problem that whether the shared transportation means can be obtained after arrival of passengers is solved, and the convenience of the passengers in the journey of leaving the station after intelligent bus trip is improved.
Optionally, the path planning step includes the following steps:
a screening substep: acquiring an intelligent bus stop near a travel end point as a station to be selected, and calculating the distance between the station to be selected and the travel end point;
and (3) an outbound time measuring substep: acquiring a shared vehicle state corresponding to the station to be selected, and determining the outbound journey time based on the distance between the station to be selected and the journey end point, the shared vehicle state and the environment state;
the bus time measuring substep: calculating the predicted consumed time of the commercial vehicles on each route to be selected and taking the calculated consumed time as the bus travel time, wherein the commercial vehicles corresponding to different routes to be selected have different driving routes;
a sorting substep: and sequencing the paths to be selected based on the bus travel time and the outbound travel time scheme combination.
By adopting the technical scheme, the travel end point of the passenger generally has a certain distance with the bus stop, and the distance is related to the distribution density of the bus stop, so that the passenger can generally select at a plurality of bus stops. The distance between the station to be selected and the travel destination can be used as an adjusting factor for path planning, and meanwhile, the existence of shared vehicles at the bus station can influence the outbound travel time and the selection of passengers, so that the distance can also be used as an adjusting factor for path planning. And sequencing the paths to be selected in the scheme combination based on the adjusting factors, and giving recommendations to the passengers from the superior paths to the inferior paths.
Optionally, the screening substep comprises the following steps:
searching an intelligent bus stop outwards by taking a travel end point as a center based on a preset radius;
acquiring the number of unlocked shared vehicles corresponding to the searched intelligent bus stop, judging whether the number of the unlocked shared vehicles is zero, if not, taking the intelligent bus stop with the number not being zero as a candidate station which correspondingly leaves through the shared vehicles, and then entering a substep of outbound time measurement; if so, taking the searched intelligent bus station as a corresponding walk-away candidate station and finishing;
increasing the search radius and continuing outward search by taking the travel end point as a center;
judging whether the search radius is larger than a first threshold value or not, if not, returning to the previous step, if so, stopping the search, and selecting the intelligent bus station with the distance to the travel end point smaller than the preset radius as a station to be selected which correspondingly leaves through a shared vehicle;
and obtaining the shortest distance from each station to be selected to the travel end point on the road network.
By adopting the technical scheme, the bus stations within the preset radius can move to the travel destination by walking, and when no intelligent bus station exists within the range of the distance between the travel destination and the preset radius, the intelligent bus stations are continuously searched outwards until the search radius reaches the first threshold value. The intelligent bus stops in the range between the preset radius and the first threshold value are all used as bus stops to be selected, and the bus stops to be selected only consider using shared vehicles for going forward and do not consider walking going forward. And finally, obtaining the closest distance from each station to be selected to the travel terminal along the road network for calculating the outbound travel time.
Optionally, the outbound time measuring substep includes the following steps:
acquiring whether the number of unlocked shared vehicles exists in the station to be selected, and if not, calculating the corresponding outbound journey time of the corresponding station to be selected based on the distance from the station to be selected to the journey end point along the sidewalk, the walking preset speed and the environmental state; and if so, calculating the corresponding outbound journey time of the corresponding station to be selected based on the preset running speed and the distance from the station to be selected to the journey end point along the lane.
By adopting the technical scheme, the number of the shared vehicles corresponding to the station to be selected obtained in the screening substep is not fixed, and the number needs to be obtained for classification. The corresponding outbound journey time of walking is influenced by the journey distance along the pedestrian path, the walking preset speed and the environmental state, the walking preset speed can be preset by passengers, and the environmental state can change in real time. The outbound journey time when using the shared vehicle to correspond is influenced by the journey distance along the lane, the preset speed of traveling and the environmental state, and the preset speed of traveling can be preset on the basis of passengers, and the environmental state can change in real time. The preference of passengers for walking and traveling of shared vehicles under different weather conditions is embodied in variables influenced by environmental states, and the variables influenced by the environmental states are different under different weather types.
Optionally, the step of calculating the outbound journey time corresponding to the station to be selected based on the preset driving speed and the distance from the station to be selected to the journey end along the lane includes the following steps:
acquiring current weather conditions W, temperature conditions T and road condition complexity degree R, wherein the weather conditions W are divided into sunny days W1Cloudy day w2And bad weather w3Temperature conditions are divided into low temperatures t1Normal temperature t2And high temperature t3The complexity of road conditions is classified as simple road conditions r1And complex road conditions r2；
Obtaining a preset speed v of driving1And the distance L from the station to be selected to the travel end point along the lane1Calculating the corresponding outbound journey time of the corresponding station to be selected
Wherein, K1Based on weather conditions W1Temperature condition T1Road condition harmony degree R1The determined adjustment item; optionally, K1(W1,T1,R1)＝ W1(w1,w2,w3)+T1(t1,t2,t3)+R1(r1,r2)。
By adopting the technical scheme, the outbound travel time is not only used for indicating the outbound time of the passenger, but also simultaneously used as a preference index of the passenger, and is influenced by the current weather condition, temperature condition and road condition complex condition, such as sunny days, cloudy days and rainy days, the preference degrees of the passengers for selecting shared transportation means are different, and the travel time consumption is also different. Through consideration of a plurality of influence factors, more accurate recommendations are provided for passengers.
Optionally, the bus time measuring substep includes the following substeps:
acquiring the time consumption of the commercial vehicle on each sub-path of the path to be selected, and estimating the time consumption of the passenger at the transfer point between the adjacent sub-paths;
and accumulating all the consumed time corresponding to the previous step as the bus travel time.
By adopting the technical scheme, the bus travel time consists of the vehicle time and the transfer time, the transfer time is influenced by the dispatching of the commercial vehicles, the two parts are respectively calculated, and the more accurate bus travel time can be obtained.
Optionally, the step of predicting the time consumption of the passenger at the transfer point between the adjacent sub-paths includes the following steps:
the method comprises the following steps: obtaining the remaining passenger capacity of each operating vehicle corresponding to the candidate route before the transfer point on the candidate route, and calculating the net passenger capacity r of each vehicle based on the passenger orders and the remaining passenger capacityiWherein the net passenger capacity riThe remaining passenger capacity is the number of passengers getting on the intelligent bus stations between the vehicle and the transfer point plus the number of passengers getting off the intelligent bus stations between the vehicle and the transfer point;
step two: sequentially accumulating the net passenger capacity of each commercial vehicle corresponding to the to-be-selected route in front of the station based on the sequence of the vehicles from near to far to the station until the accumulated value is larger than the predicted passenger order number of the commercial vehicle corresponding to the to-be-selected route during the transfer waiting period;
step three: obtaining the required running time t from the commercial vehicle to the transfer point corresponding to the accumulated net remaining capacity in the step twoiCalculating the total predicted waiting time
Wherein n is the number of the commercial vehicles corresponding to the accumulated net passenger capacity in the step two, i is mapped on each vehicle from near to far on the candidate route from small to large in sequence before transfer,
step four: and calculating the average predicted waiting time as the total predicted waiting time/the amount of orders of the commercial vehicles of which the transfer points correspond to the candidate routes during the transfer waiting period.
By adopting the technical scheme, on the premise that the boarding probability of each passenger is equal, the number of passengers at the current platform and the required average waiting time are evaluated through the average predicted waiting time and the total predicted waiting time.
In a second aspect, the system for connecting an intelligent bus stop and shared traffic provided by the application adopts the following technical scheme:
a system for joining intelligent bus stations and shared traffic, comprising:
the information acquisition module is used for acquiring a passenger order submitted by the mobile device, wherein the passenger order comprises a starting point of a journey and an ending point of the journey, the starting point of the journey is an originating platform or an originating place of the passenger, and the ending point of the journey is a destination of the passenger;
the route planning module is used for generating a scheme combination comprising a plurality of plans to be selected based on the passenger orders and sequencing the routes to be selected in the scheme combination based on the bus travel time and the outbound travel time, wherein the starting point of the plan to be selected corresponds to the travel starting point of the passenger orders, the destination of the plan to be selected is a destination platform close to the destination, the plan to be selected comprises a plurality of different routes to be selected, and the outbound travel time is determined based on the shared vehicle state of the destination platform;
the path pushing module is used for pushing the scheme combination to the mobile equipment;
and the preselection scheduling module is used for acquiring a preselection path, scheduling the operating vehicle and locking the shared vehicle corresponding to the terminal station based on the preselection path, wherein the preselection path is a candidate path determined by the mobile equipment based on the scheme combination.
By adopting the technical scheme, the passenger scans the two-dimensional code by using the mobile equipment before going out, or logs in green trip software to submit a passenger order, and the passenger order at least comprises the trip starting point information and the trip end point information. And then, a scheme combination is made based on the starting point and the end point of the travel, the scheme combination internally comprises a plurality of plans to be selected, and each plan to be selected corresponds to a plurality of paths to be selected. Because different paths have different advantages, different passengers can select different schemes based on own preferences, such as the path with the shortest total time, the path with the shortest outbound journey time, the path with less walk after outbound, and the like. The passenger selects and determines a candidate path as a preselected path in the mobile device, the server schedules the operating vehicle based on the preselected path, and locks a shared vehicle of the terminal station corresponding to the preselected path so as to avoid the preemptive occupation of other passengers. When the passengers arrive at the station, the passengers can go to the travel terminal through the shared vehicle. By the method, accurate delivery and effective utilization of the shared transportation means can be realized, the worries about uncertainty of whether the shared transportation means can be obtained after arrival of passengers are solved, and convenience of the passengers in the journey of leaving the station after the passengers go out by using the intelligent bus is improved.
In a third aspect, the present application provides a host, which adopts the following technical solution:
a host comprising a memory and a processor, the memory having stored thereon a computer program that can be loaded by the processor and executed to perform the method as described above.
In a fourth aspect, the application provides a readable storage medium, which adopts the following technical solutions:
a readable storage medium storing a computer program capable of being loaded by a processor and executing the above base station communication method.
Drawings
Fig. 1 is a block flow diagram illustrating a method of joining intelligent bus stations and shared traffic according to an embodiment of the present application.
Fig. 2 is a block flow diagram illustrating a path planning step according to an embodiment of the present application.
Fig. 3 is a block flow diagram illustrating the screening substep of an embodiment of the present application.
Detailed Description
The present application will be described in further detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
In the following description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the inventive concepts. Some of the figures in the present disclosure show structures and devices in block diagram form as part of this specification to avoid obscuring the disclosed principles. In the interest of clarity, not all features of an actual implementation are described in this specification. Moreover, the language used in the present disclosure has been principally selected for readability and instructional purposes, and may not have been selected to delineate or circumscribe the inventive subject matter, resort to the claims being necessary to determine such inventive subject matter. Reference in the present disclosure to "one implementation" or "an implementation" means that a particular feature, structure, or characteristic described in connection with the implementation is included in at least one implementation, and references to "one implementation" or "an implementation" are not to be understood as necessarily all referring to the same implementation.
The embodiment of the application relates to the following main technical terms:
intelligent bus station: the main part is for setting up in the closed platform of waiting of road edge, is provided with public facilities such as seat, air conditioner, sign, broadcasting and so on and supplies the usefulness that the passenger waited for the bus, still sets up power generation system and is used for supplying power for each system and device in the intelligent bus platform, and power distribution system disposes the produced electric power of power generation system, and communication system provides communication service for the passenger to realize bus platform's datamation and intellectuality.
Traffic sharing: the shared traffic is a representation form of a shared economy in the traffic field, and generally refers to a new traffic service supply mode based on strangers and temporary transfer of the use right of a vehicle, wherein the main purpose of obtaining a certain reward is to use a market mechanism.
A mobile device: also known as Mobile devices, handheld devices, etc., are computing devices that can be housed in a portable container such as a pocket or a bag, and typically have a small display screen that enables touch input or input using a small keyboard. The device is internally provided with a Bluetooth module, a WiFi module or a cellular mobile communication module, and a user can conveniently access to obtain various information through the device. In different embodiments, the mobile device may be a tablet computer such as iPad, a notebook computer such as MacBook, a smart phone such as iPhone, and an intelligent device such as Apple Watch or airpots.
The embodiment of the application discloses a method for connecting an intelligent bus stop with shared traffic, which comprises an information acquisition step, a path planning step, a path pushing step and a preselection scheduling step, wherein the information acquisition step acquires information submitted by passengers, the passengers are planned with trip paths based on passenger information and pushed to the passengers, and after the passengers preselect the paths, a system locks a shared traffic tool of a target stop based on the selection of the passengers and schedules operation vehicles so that the passengers can arrive at a travel destination on time and utilize the preset locked shared traffic tool.
Specifically, referring to fig. 1, the method for connecting intelligent bus stops and sharing traffic comprises the following steps:
an information acquisition step: the method comprises the steps of obtaining a passenger order submitted by a mobile device, wherein the passenger order comprises a journey starting point and a journey ending point, the journey starting point is an originating station or a passenger originating place, and the journey ending point is a passenger destination place;
passenger's mobile device can install the trip APP that associates with intelligent bus server in advance, can supply the passenger to fill in the passenger order form on the APP, and the APP submits the passenger order form to the server again. The passenger order at least comprises a travel starting point and a travel end point of the passenger, and can also comprise information whether the passenger wants to use a shared vehicle or receive information about walking to the travel end point after the passenger leaves the station, and further, travel preference can be filled in for the server to filter the candidate routes so as to provide the candidate routes which are most suitable for the passenger. For example, a passenger with injured hands is not suitable for traveling by using a sharing bicycle, a passenger with inconvenient legs and feet is suitable for traveling by using a sharing electric vehicle, and a passenger carrying large luggage is suitable for traveling by using a manned or unmanned sharing automobile or a miniature electric vehicle. This trip APP also can provide registration service, and the passenger registers personal information on the APP, and the APP carries out the record to passenger's trip information commonly used to fill out fast when using next time.
Passenger's order can also start the applet through software platform scanning two-dimensional code, for example believe a little, the precious applet of payment etc. the system is through setting up intelligent trip applet on these software platforms to the passenger of first use can need not install APP and use promptly fast. Further, the passenger order can be input through service personnel/platform self-service equipment of the bus platform, so that requirements of different people are met.
Path planning step: generating a scheme combination comprising a plurality of plans to be selected based on the passenger orders, and sequencing the routes to be selected in the scheme combination based on the bus travel time and the outbound travel time, wherein the starting point of the plans to be selected corresponds to the travel starting point of the passenger orders, the end point of the plans to be selected is an end point platform close to the destination, the plans to be selected comprise a plurality of different routes to be selected, and the outbound travel time is determined based on the shared vehicle state of the end point platform.
A complete travel process for passengers is generally: walking or using a shared vehicle or using other vehicles to go from a departure place to a bus stop, waiting for a bus at the bus stop, taking the bus to run and transfer, and walking or using the shared vehicle or using other vehicles to go to a travel destination after leaving the station. In the embodiment of the application, the bus travel time is the time for driving and transferring the passenger operating vehicle. In different embodiments, the service vehicle may be an electric service vehicle, a fuel service vehicle, a manned vehicle, or an unmanned vehicle, and the type of the service vehicle is determined according to specific implementation conditions. The bus travel time is composed of a vehicle time and a transfer time, wherein the vehicle time is mainly influenced by the length of a running distance, the running speed and road conditions, and the transfer time is mainly influenced by the dispatching of commercial vehicles and is influenced by the number of passengers getting on and off. The method for passengers to go to the travel destination after leaving the station can be walking, getting on the bus, taking a shared vehicle, and the like, so the time of the leaving travel is influenced by the selected mode. In some embodiments, the outbound travel time is not only used to indicate the passenger's outbound time, but is also used as an indicator of the passenger's preferences. For example, five minutes are required for walking when the passenger a gets off from the terminal platform a to the travel destination, and six minutes are required for using the shared vehicle when the passenger B gets off from the terminal platform B to the travel destination. But since the passenger makes a preference setting in the passenger order, the system weights the outbound travel time, resulting in seven minutes for walking and five minutes for shared vehicle. This result is only used to order the candidate paths, which when pushed solution is combined will push the exact predicted time.
The passenger scans the two-dimensional code by using a mobile device before going out, or directly enters an applet through a mobile terminal, or logs in green going-out software to submit a passenger order. For example, a passenger A uses the WeChat APP to scan a two-dimensional code on an intelligent bus stop to enter a small program, and fills a passenger order on the small program, wherein the filling travel starting point is a Guangzhou tower station in Guangzhou city, and the travel ending point is a north gate of a southern school district of Zhongshan university in Guangzhou city. The mobile device uploads the passenger order to the server through the network, the server formulates a scheme combination based on the starting point and the end point of the journey, the scheme combination internally comprises a plurality of plans to be selected, and each plan to be selected corresponds to a plurality of paths to be selected. Different passengers can select different schemes based on own preference, such as the path with the shortest total time, the path with the shortest outbound travel time, the path with less transfer, the path with less walking after outbound and the like, so that the server sorts the paths to be selected based on the passenger preference filled in the passenger order through a weighting algorithm.
Specifically, in some embodiments, the path planning step includes the following steps:
a screening substep: acquiring an intelligent bus stop near a travel end point as a station to be selected, and calculating the distance between the station to be selected and the travel end point;
and (3) an outbound time measuring substep: acquiring a shared vehicle state corresponding to the station to be selected, and determining the outbound journey time based on the distance between the station to be selected and the journey end point, the shared vehicle state and the environment state;
the bus time measuring substep: calculating the predicted consumed time of the commercial vehicles on each route to be selected and taking the calculated consumed time as the bus travel time, wherein the commercial vehicles corresponding to different routes to be selected have different driving routes;
a sorting substep: and sequencing the paths to be selected based on the bus travel time and the outbound travel time scheme combination.
The passenger's end of travel is typically located a distance from the bus stop that is related to the distribution density of the bus stops, so the passenger is typically able to select at multiple bus stops. The distance between the station to be selected and the travel destination should be used as an adjusting factor for path planning, and meanwhile, the presence or absence of shared vehicles at the bus station will influence the outbound travel time and the selection of passengers, so that the distance should be used as an adjusting factor for path planning. And sequencing the paths to be selected in the scheme combination based on the adjusting factors, and giving recommendations to the passengers from the superior paths to the inferior paths. For example, in an embodiment of the present application, the server may only push several optimal solutions to the client for the passenger to select, such as a solution with the shortest overall time consumption, a solution with the shortest walking time, and a solution with the least number of transfers, and the server then ranks the candidate routes by a weighting algorithm based on the passenger preferences filled in the passenger order. Alternatively, the server may sort all the schemes and push the sorted schemes to the mobile device for selection by the passenger.
Specifically, in some embodiments, the screening substep comprises the steps of:
searching an intelligent bus stop outwards by taking a travel end point as a center based on a preset radius;
acquiring the number of unlocked shared vehicles corresponding to the searched intelligent bus stop, judging whether the number of the unlocked shared vehicles is zero, if not, taking the intelligent bus stop with the number not being zero as a candidate station which correspondingly leaves through the shared vehicles, and then entering a substep of outbound time measurement; if so, taking the searched intelligent bus station as a corresponding walk-away candidate station and finishing;
increasing the search radius and continuing outward search by taking the travel end point as a center;
judging whether the search radius is larger than a first threshold value or not, if not, returning to the previous step, if so, stopping the search, and selecting the intelligent bus station with the distance to the travel end point smaller than the preset radius as a station to be selected which correspondingly leaves through a shared vehicle;
and obtaining the shortest distance from each station to be selected to the travel end point on the road network.
The passenger's end of travel is generally a distance from the bus stop, and the predetermined radius is set to a relatively small value, generally within one kilometer, for example, in one embodiment of the present application, the predetermined radius is five hundred meters. When the intelligent bus stop within the preset radius is provided with the unlocked shared vehicle, the passenger can remotely lock the shared vehicle when selecting the candidate route. When the passengers arrive at the station and are close to the shared vehicle, the shared vehicle gives a prompt for the passengers to identify, and the passengers scan the two-dimensional codes on the passengers to unlock the passengers. The shared vehicle may be in the platform or not, as long as it can prompt the passengers when they arrive at the platform. In various embodiments, the shared vehicle may be a shared bicycle, a shared electric vehicle, or a shared automobile. In one embodiment, the shared automobile can automatically return to the intelligent bus stop through unmanned driving after passengers get off. Since the use of shared vehicles will be too long due to the passengers' advanced locking of the shared vehicles, for shared cars, the server may schedule service periods for the passengers based on the expected arrival times of the passengers so that the same shared car can be locked by multiple passengers at the same time for different periods, thereby improving the utilization of the shared car.
When the intelligent bus station within the preset radius is not provided with an unlocked shared vehicle, passengers can walk to the travel destination at the intelligent bus station within the preset radius. And when the intelligent bus stop does not exist in the range of the distance between the travel end point and the preset radius, continuing searching the intelligent bus stop outwards until the search radius reaches a first threshold value. The first threshold is set to aim at too long moving distance of the passenger after the passenger leaves the bus, so that the passenger can get a trip end in thirty minutes, for example, the passenger can get a shared bicycle in five minutes after leaving the bus and then get the trip end in five minutes, and the passenger can get the trip end in five minutes more economically and effectively. Further, in some embodiments, the server can be capable of data linkage with the shared vehicle platforms, capturing shared vehicles of other platforms and guiding passengers to the capture.
In the process that the system continues to search for the intelligent bus stop outwards, all the intelligent bus stops within the range between the preset radius and the first threshold are used as bus stops to be selected, all the bus stops to be selected only consider using the shared vehicle to go ahead and do not consider walking ahead, and for the same reason, too high opportunity cost is generated due to the long walking distance, and passengers can select a mode of reserving a network to make an appointment or obtaining the shared vehicle by walking to reach the travel destination. And finally, the system acquires the closest distance from each station to be selected to the travel end point along the road network so as to calculate the outbound travel time.
The outbound time measuring substep comprises the following steps:
acquiring whether the number of unlocked shared vehicles exists in the station to be selected, and if not, calculating the corresponding outbound journey time of the corresponding station to be selected based on the distance from the station to be selected to the journey end point along the sidewalk, the walking preset speed and the environmental state; and if so, calculating the corresponding outbound journey time of the corresponding station to be selected based on the preset running speed and the distance from the station to be selected to the journey end point along the lane.
The number of shared vehicles corresponding to the station to be selected obtained in the screening substep is not fixed, and the number needs to be obtained for classification. The corresponding outbound travel time of walking is influenced by the travel distance along the sidewalk, the walking preset speed and the environmental state, the walking preset speed can be preset by passengers, and the environmental state can change in real time. The outbound journey time when using the shared vehicle to correspond is influenced by the journey distance along the lane, the preset speed of traveling and the environmental state, and the preset speed of traveling can be preset on the basis of the passengers, and the environmental state can change in real time. The preference of passengers for walking and traveling of shared vehicles under different weather conditions is embodied in variables influenced by environmental conditions, and the variables influenced by the environmental conditions are different under different weather types.
Specifically, in a certain embodiment, the step of calculating the outbound journey time corresponding to the station to be selected based on the preset driving speed and the distance from the station to be selected to the journey end along the lane includes the following steps:
acquiring current weather conditions W, temperature conditions T and road condition complexity degree R, wherein the weather conditions W are divided into sunny days W1Cloudy day w2And bad weather w3Temperature conditions are divided into low temperatures t1Normal temperature t2And high temperature t3The complexity of road conditions is classified as simple road conditions r1And complex road conditions r2；
Obtaining driving presetsVelocity v1And the distance L from the station to be selected to the travel end point along the lane1Calculating the corresponding outbound journey time of the corresponding station to be selected
Wherein, K1Based on weather conditions W1Temperature condition T1Road condition harmony degree R1The determined adjustment item; optionally, K1(W1,T1,R1)＝ W1(w1,w2,w3)+T1(t1,t2,t3)+R1(r1,r2)。
In one embodiment, the step of calculating the outbound journey time corresponding to the station to be selected based on the distance from the station to be selected to the journey end along the sidewalk, the walking preset speed and the environmental state includes the following steps:
acquiring current weather conditions W, temperature conditions T and road condition complexity degree R, wherein the weather conditions W are divided into sunny days W1Cloudy day w2And bad weather w3Temperature conditions are divided into low temperatures t1Normal temperature t2And high temperature t3The complexity of road conditions is classified as simple road conditions r1And complex road conditions r2；
Obtaining a walking preset speed v2And the distance K from the station to be selected to the travel destination along the sidewalk2Calculating the corresponding outbound journey time of the corresponding station to be selected
Wherein, K2Based on the weather condition W2Temperature condition T2Road condition harmony degree R2The determined adjustment item; optionally, K2(W2,T2,R2)＝ W2(w1,w2,w3)+T2(t1,t2,t3)+R2(r1,r2)。
The outbound travel time is not only used for indicating the outbound time of the passenger, but also serves as a preference index of the passenger, and is influenced by the current weather condition, temperature condition and road condition complex condition, for example, in sunny days, cloudy days and rainy days, the preference degree of the passenger for selecting shared transportation means is different, and the travel time consumption is different. Through consideration of a plurality of influence factors, more accurate recommendations are provided for passengers. For example, in cold weather on snow, the driving preset speed and the walking preset speed are reduced to different degrees, the preference of the passengers for walking and using the shared vehicle is changed, and the road conditions are changed correspondingly, so that the walking and the outbound journey time using the shared vehicle are changed.
Specifically, in some embodiments, the transit time substep includes the following substeps:
acquiring the time consumption of the commercial vehicle on each sub-path of the path to be selected, and estimating the time consumption of the passenger at the transfer point between the adjacent sub-paths;
and accumulating all the consumed time corresponding to the previous step as the bus travel time.
The bus travel time consists of a vehicle time and a transfer time, the transfer time is influenced by the dispatching of the commercial vehicles, and the two parts are respectively calculated to obtain more accurate bus travel time. In one embodiment, the step of estimating the number of passengers at the current station and the required average waiting time by averaging the predicted waiting time and the total predicted waiting time by using a strategy that assumes that the boarding probability of each passenger is equal, specifically, the step of estimating the time consumption of the passengers at the transfer points between the adjacent sub-paths includes the following steps:
the method comprises the following steps: obtaining the remaining passenger capacity of each operating vehicle corresponding to the candidate route before the transfer point on the candidate route, and calculating the net passenger capacity r of each vehicle based on the passenger orders and the remaining passenger capacityiWherein the net passenger capacity riThe remaining passenger capacity is the number of passengers getting on the intelligent bus stations between the vehicle and the transfer point plus the number of passengers getting off the intelligent bus stations between the vehicle and the transfer point;
step two: sequentially accumulating the net passenger capacity of each commercial vehicle corresponding to the to-be-selected route in front of the station based on the sequence of the vehicles from near to far to the station until the accumulated value is larger than the predicted passenger order number of the commercial vehicle corresponding to the to-be-selected route during the transfer waiting period;
step three: obtaining the required running time t from the commercial vehicle to the transfer point corresponding to the accumulated net remaining capacity in the step twoiCalculating the total predicted waiting time
Wherein n is the number of the commercial vehicles corresponding to the accumulated net passenger capacity in the step two, i is mapped on each vehicle from near to far on the candidate route from small to large in sequence before transfer,
step four: and calculating the average predicted waiting time as the total predicted waiting time/the transfer waiting period, wherein the transfer point corresponds to the amount of orders of the commercial vehicles of the to-be-selected route, and the average predicted waiting time is the consumed time of the passengers at the transfer points between the adjacent sub-routes.
In other embodiments, the system issues transfer two-dimensional codes to passengers based on passenger orders, and passengers get on the bus in order according to the two-dimensional codes. The average expected waiting time is therefore the expected arrival time of the operating vehicle which the system has arranged to the passenger at the time of arrival at the transfer point.
A path pushing step: pushing the solution combination to the mobile device.
A pre-selection scheduling step: and acquiring a preselected path, and scheduling the operating vehicle and locking the shared vehicle corresponding to the terminal station based on the preselected path, wherein the preselected path is a candidate path determined by the mobile device based on the scheme combination.
The passenger selects and determines a path to be selected as a preselected path on the mobile device, the server schedules an operating vehicle based on the preselected path and locks a shared vehicle of a terminal station corresponding to the preselected path so as to avoid the preemptive occupation of other passengers. Passengers can go to the travel terminal through the shared vehicle when arriving at the station. By the method, accurate putting and effective utilization of the shared vehicles can be achieved, the worry that whether the shared vehicles can be obtained after arrival of passengers is solved, and convenience of the passengers in the outbound journey after intelligent public traffic is used is improved.
The application also provides a system for connecting intelligent bus stop and shared traffic, including:
the information acquisition module is used for acquiring a passenger order submitted by the mobile device, wherein the passenger order comprises a starting point of a journey and an ending point of the journey, the starting point of the journey is an originating platform or an originating place of the passenger, and the ending point of the journey is a destination of the passenger;
the route planning module is used for generating a scheme combination comprising a plurality of plans to be selected based on the passenger orders and sequencing the routes to be selected in the scheme combination based on the bus travel time and the outbound travel time, wherein the starting point of the plan to be selected corresponds to the travel starting point of the passenger orders, the destination of the plan to be selected is a destination platform close to the destination, the plan to be selected comprises a plurality of different routes to be selected, and the outbound travel time is determined based on the shared vehicle state of the destination platform;
the path pushing module is used for pushing the scheme combination to the mobile equipment;
and the preselection scheduling module is used for acquiring a preselection path, scheduling the operating vehicle and locking the shared vehicle corresponding to the terminal station based on the preselection path, wherein the preselection path is a candidate path determined by the mobile equipment based on the scheme combination.
The embodiment of the application also discloses a host which comprises a memory and a processor, wherein the memory is stored with a computer program which can be loaded by the processor and can execute the method for connecting the intelligent bus station and the shared traffic. The execution main body of the method of this embodiment may be a control device, the control device is disposed on a host, the current device may be an electronic device such as a mobile phone, a tablet computer, and a notebook computer with a WIFI function, and the execution main body of the method of this embodiment may also be a Central Processing Unit (CPU) of the electronic device directly.
The embodiment of the application also discloses a readable storage medium which stores a computer program capable of being loaded by a processor and executing the method for connecting the intelligent bus station and the shared traffic. Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better embodiment. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a device (e.g., a mobile phone, a computer, a server, a controlled terminal, or a network device) to execute the method of each embodiment of the present application.
The above embodiments are preferred embodiments of the present application, and the protection scope of the present application is not limited by the above embodiments, so: all equivalent changes made according to the structure, shape and principle of the present application shall be covered by the protection scope of the present application.
Claims (10)
1. A method for connecting intelligent bus stops and sharing traffic is characterized by comprising the following steps:
an information acquisition step: the method comprises the steps of obtaining a passenger order submitted by a mobile device, wherein the passenger order comprises a starting point of a journey and an end point of the journey, the starting point of the journey is an initial station or an initial place of the passenger, and the end point of the journey is a destination of the passenger;
path planning step: generating a scheme combination comprising a plurality of plans to be selected based on the passenger orders, and sequencing all routes to be selected in the scheme combination based on the bus travel time and the outbound travel time, wherein the starting point of the plan to be selected corresponds to the travel starting point of the passenger orders, the destination of the plan to be selected is a destination platform close to the destination, the plan to be selected comprises a plurality of different routes to be selected, and the outbound travel time is determined based on the shared vehicle state of the destination platform;
a path pushing step: pushing the scheme combination to the mobile device;
a pre-selection scheduling step: and acquiring a preselected path, and scheduling the operating vehicle and locking the shared vehicle corresponding to the terminal station based on the preselected path, wherein the preselected path is a candidate path determined by the mobile device based on the scheme combination.
2. A method of coupling intelligent bus stations and shared traffic as defined in claim 1 wherein said path planning step comprises the steps of:
a screening substep: acquiring an intelligent bus stop near a travel end point as a station to be selected, and calculating the distance between the station to be selected and the travel end point;
and (3) an outbound time measuring substep: acquiring a shared vehicle state corresponding to the station to be selected, and determining the outbound journey time based on the distance between the station to be selected and the journey end point, the shared vehicle state and the environment state;
the bus time measuring substep: calculating the predicted consumed time of the commercial vehicles on each route to be selected and taking the calculated consumed time as the bus travel time, wherein the commercial vehicles corresponding to different routes to be selected have different driving routes;
a sorting substep: and sequencing the paths to be selected based on the bus travel time and the outbound travel time scheme combination.
3. A method of coupling intelligent bus stops with shared traffic as set forth in claim 2, wherein said screening substep comprises the steps of:
searching an intelligent bus stop outwards by taking a travel end point as a center based on a preset radius;
acquiring the number of unlocked shared vehicles corresponding to the searched intelligent bus stop, judging whether the number of the unlocked shared vehicles is zero, if not, taking the intelligent bus stop with the number not being zero as a candidate station which correspondingly leaves through the shared vehicles, and then entering a substep of outbound time measurement; if so, taking the searched intelligent bus station as a station to be selected which correspondingly leaves by walking, and ending;
increasing the search radius and continuing outward search by taking the travel end point as a center;
judging whether the search radius is larger than a first threshold value or not, if not, returning to the previous step, if so, stopping the search, and selecting an intelligent bus station with the distance to the travel destination smaller than a preset radius as a station to be selected which correspondingly leaves through a shared vehicle;
and obtaining the shortest distance from each station to be selected to the travel end point on the road network.
4. A method of coupling intelligent bus stops with shared traffic as set forth in claim 2 or 3, wherein the outbound time substep comprises the steps of:
acquiring whether the number of unlocked shared vehicles exists in the station to be selected, and if not, calculating the corresponding outbound journey time of the corresponding station to be selected based on the distance from the station to be selected to the journey end point along the sidewalk, the walking preset speed and the environmental state; and if so, calculating the corresponding outbound journey time of the corresponding station to be selected based on the preset running speed and the distance from the station to be selected to the journey end point along the lane.
5. The method for coupling intelligent bus stops with shared traffic as claimed in claim 4, wherein the step of calculating the outbound journey time corresponding to the station to be selected based on the preset speed of travel and the distance from the station to be selected to the journey end along the lane comprises the steps of:
acquiring current weather conditions W, temperature conditions T and road condition complexity degree R, wherein the weather conditions W are divided into sunny days W1Cloudy day w2And bad weather w3Temperature conditions are divided into low temperatures t1Normal temperature t2And high temperature t3The road condition complexity is classified as simple road condition r1And complex road conditions r2；
Obtaining a preset speed v of driving1And the distance L from the station to be selected to the travel end point along the lane1Calculating the corresponding outbound journey time of the corresponding station to be selected
Wherein, K1Based on weather conditions W1Temperature condition T1Road condition harmony degree R1The determined adjustment item; optionally, K1(W1，T1，R1)＝W1(w1，w2，w3)+T1(t1，t2，t3)+R1(r1，r2)。
6. A method of coupling an intelligent bus stop to a shared traffic as defined in claim 2 wherein said transit time substep comprises the substeps of:
acquiring the time consumption of the commercial vehicle on each sub-path of the path to be selected, and estimating the time consumption of the passenger at the transfer point between the adjacent sub-paths;
and accumulating all the consumed time corresponding to the previous step as the bus travel time.
7. A method of coupling intelligent bus stations and shared traffic as defined in claim 6 wherein said step of predicting time-consuming passenger transfer points between adjacent sub-paths comprises the steps of:
the method comprises the following steps: obtaining the remaining passenger capacity of each operating vehicle corresponding to the candidate route before the transfer point on the candidate route, and calculating the net passenger capacity r of each vehicle based on the passenger orders and the remaining passenger capacityiWherein the net passenger capacity riThe remaining passenger capacity is the number of passengers getting on the intelligent bus stations between the vehicle and the transfer point plus the number of passengers getting off the intelligent bus stations between the vehicle and the transfer point;
step two: sequentially accumulating the net passenger capacity of each commercial vehicle corresponding to the to-be-selected route in front of the station based on the sequence of the vehicles from near to far to the station until the accumulated value is larger than the predicted passenger order number of the commercial vehicle corresponding to the to-be-selected route during the transfer waiting period;
step three: obtaining the required running time t from the commercial vehicle to the transfer point corresponding to the accumulated net remaining capacity in the step twoiCalculating the total predicted waiting time
Wherein n is the number of the commercial vehicles corresponding to the accumulated net passenger capacity in the step two, i is sequentially mapped on each vehicle from near to far on the waiting route before transfer from small to large, and p is the order number of the commercial vehicles corresponding to the waiting route during the waiting period of transfer
Step four: and calculating the average predicted waiting time as the total predicted waiting time/the number of orders of the commercial vehicles corresponding to the candidate route during the transfer waiting period.
8. A system for connecting intelligent bus stations and shared traffic, comprising:
the information acquisition module is used for acquiring a passenger order submitted by the mobile device, wherein the passenger order comprises a starting point of a journey and an ending point of the journey, the starting point of the journey is an originating platform or an originating place of the passenger, and the ending point of the journey is a destination of the passenger;
the route planning module is used for generating a scheme combination comprising a plurality of plans to be selected based on the passenger order and sequencing the routes to be selected in the scheme combination based on the bus travel time and the outbound travel time, wherein the starting point of the plan to be selected corresponds to the travel starting point of the passenger order, the destination of the plan to be selected is a destination platform close to the destination, the plan to be selected comprises a plurality of different routes to be selected, and the outbound travel time is determined based on the state of a shared transport tool of the destination platform;
the path pushing module is used for pushing the scheme combination to the mobile equipment;
and the preselection scheduling module is used for acquiring a preselection path, scheduling the operating vehicle and locking the shared vehicle corresponding to the terminal station based on the preselection path, wherein the preselection path is a candidate path determined by the mobile equipment based on the scheme combination.
9. A host machine comprising a memory and a processor, the memory having stored thereon a computer program that can be loaded by the processor and that executes the method of joining intelligent bus stations and shared traffic of any of claims 1-7.
10. A readable storage medium, characterized in that a computer program is stored which can be loaded by a processor and which executes the method of linking intelligent bus stations and shared traffic according to any of claims 1 to 7.
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