CN105046983A - Traffic flow prediction system and method based on vehicle-road cooperation - Google Patents
Traffic flow prediction system and method based on vehicle-road cooperation Download PDFInfo
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Abstract
The invention relates to a traffic flow prediction system and method based on vehicle-road cooperation. Path planning data are obtained through a roadside unit, traffic road conditions can be predicted according to the path planning data, compared with a general traffic flow prediction system, the traffic flow prediction system and the method provided by the invention are more effective. The general traffic flow prediction system reminds a driver to avoid congested road sections according to currently formed traffic road conditions, and the traffic flow prediction system provided by the invention can predict traffic road conditions and remind the driver to plan a reasonable path in time, thereby avoiding traffic congestion, and dispersing the traffic volume of the congested road sections.
Description
Technical field
The present invention relates generally to bus or train route coordination technique field, is specifically related to a kind of traffic flow forecasting system collaborative based on bus or train route and method.
Background technology
The magnitude of traffic flow refers to the traffic entity number by a certain place of road, a certain section or a certain track within a period of time.Along with the development of Transportation Infrastructure Construction and intelligent transportation system, traffic programme and traffic guidance have become the focus of field of traffic research.For traffic programme and traffic guidance, traffic flow forecasting is its prerequisite realized and key accurately.Traffic flow forecasting can be divided into long-term traffic flow forecasting and short-term traffic flow prediction according to time span, and with hour, day, month, even year, for chronomere, is the prediction on macroeconomic significance to long-term traffic flow forecasting; Short-term traffic flow predicts that general time span is no more than 15 minutes, is the prediction in microcosmic meaning.Short-term traffic flow prediction is the core content of intelligent transportation system and the basic platform realizing its intelligent functions.Short-term traffic flow prediction has the feature such as nonlinearity and uncertainty, and it is stronger with temporal correlation, research shows, in urban road network, on traffic section, the magnitude of traffic flow in certain moment is relevant with the magnitude of traffic flow of several period before this section, and the magnitude of traffic flow has quasi-periodic feature in 24 hours.
The present invention predicts mainly for short-term traffic flow.
At present, the section traffic information collection equipment of the dynamic traffic information collecting equipment that Application comparison is many in the world mainly fixed.But the traffic flow information that this technology provides has certain limitation, the traffic flow information provided just reflects current traffic and speed, and to drive to go on a journey be a lasting process, and road traffic is complicated, and change is fast.Driver gets current relevant traffic flow information, and such as point out by the traffic of a certain place unobstructed, after reaching, perhaps traffic there occurs change.Such traffic flow information, for the distribution management strength of vehicle supervision department, has certain realistic meaning, but traveler of driving is avoided blocking up, the having little significance of convenient trip.
In order to solve the problem, propose a kind of traffic flow forecasting system collaborative based on bus or train route and method herein.
Summary of the invention
The object of this invention is to provide a kind of traffic flow forecasting system collaborative based on bus or train route and method, for traveler of driving provides practical Traffic Information, the volume of traffic of dispersion crowded section of highway, avoids traffic congestion, improves traffic transportation efficiency.
To achieve these goals, the present invention is by the following technical solutions:
The invention provides a kind of traffic flow forecasting system collaborative based on bus or train route, comprising: roadside unit, board units, traffic predicting unit.
Described roadside unit comprises: vehicle data receiver module, vehicle data processing module, Dedicated Short Range Communications, (DSRC, DedicatedShortRangeCommunication) module, traffic flow data sending module.
Described board units comprises: Dedicated Short Range Communications, (DSRC, DedicatedShortRangeCommunication) module, vehicle data sending module, navigation module, traffic predicted data receiver module.
Described traffic predicting unit comprises: Dedicated Short Range Communications, (DSRC, DedicatedShortRangeCommunication) module, traffic flow data receiver module, traffic flow data processing module, traffic predicted data sending module.
Described vehicle data refers to the basic running data of vehicle location, speed and Route Planning Data.Described vehicle location, speed and Route Planning Data are obtained by board units.Described Route Planning Data refers to vehicle destination, approach locality data.
Described traffic flow data refers to by a certain place real-time estimate traffic flow data.Described traffic predicted data refers to according to described traffic flow data, in combination with the maximum traffic flow data in a certain place, and the real-time estimate traffic information obtained.Be 100 automobiles per minute as by the maximum traffic flow in a certain place, real-time estimate traffic flow is 120 automobiles per minute, then this place traffic congestion of real-time estimate.
Present invention also offers a kind of traffic flow forecasting method collaborative based on bus or train route, it is characterized in that:
Step one, collection vehicle data.Gather the vehicle data in certain limit by roadside unit, described vehicle data refers to the basic running data of vehicle location, speed and Route Planning Data.
The vehicle data that step 2, process receive.Roadside unit receives the vehicle data in certain limit by Dedicated Short Range Communications, processes, obtain real-time estimate traffic flow data to the vehicle data received.
Step 3, real-time estimate traffic.Traffic predicting unit, according to real-time estimate traffic flow data, judges real-time traffic, and real-time estimate traffic road condition data is sent to board units by Dedicated Short Range Communications.
Step one comprises further:
(1) board units sends this vehicle data by Dedicated Short Range Communications, to roadside unit, and described vehicle data refers to the basic running data of vehicle location, speed and Route Planning Data.
(2) roadside unit receives the vehicle data of board units transmission by Dedicated Short Range Communications.
Step 2 comprises further:
(1) roadside unit vehicle data processing module, processes Route Planning Data and the basic running data of vehicle location, and judgement is at high-speed road conditions or under urban traffic situation.
(2) under high-speed road conditions, in conjunction with car speed, ((minimum speed limit+Maximum speed limit)/2+ current vehicle speed)/2=link prediction traffic flow.Suppose that Vehicle Speed is not less than minimum speed limit 60km/h, not higher than Maximum speed limit 120km/h, get the mean value of current vehicle speed and 90km/h, predict after 15 minutes, the traffic flow in certain section.If current vehicle speed is 100km/h, fast mean value of picking up the car is 95km/h.Under urban traffic situation, in conjunction with car speed, suppose that Vehicle Speed is not less than 10km/h, not higher than 80km/h, get the mean value of current vehicle speed and 45km/h, predict after 15 minutes, the traffic flow in certain section.If current vehicle speed is 60km/h, fast mean value of picking up the car is 52.5km/h.
Step 3 comprises further:
(1) traffic predicting unit traffic flow data processing module, processes traffic flow data, judges real-time traffic.
(2) traffic predicting unit traffic predicted data sending module, is sent to board units by real-time estimate traffic road condition data by Dedicated Short Range Communications.
The beneficial effect of technical scheme provided by the invention is:
The invention provides a kind of traffic flow forecasting system collaborative based on bus or train route and method, by roadside unit acquisition approach layout data, prediction traffic can be carried out according to Route Planning Data, compared to general traffic flow forecasting system, traffic flow forecasting system provided by the invention and method more effective.General traffic flow forecasting system, according to the current traffic formed, prompting traveler of driving dodges congested link, and traffic flow forecasting system provided by the invention, traffic can be predicted, timely prompting drive traveler planning Rational Path, avoid traffic congestion, dispersion congested link the volume of traffic.
Accompanying drawing explanation
In order to make object of the present invention, technical scheme and beneficial effect clearly, following accompanying drawing is provided to be described:
Fig. 1 the present invention is based on the collaborative traffic flow forecasting system example structure schematic diagram of bus or train route;
Fig. 2 the present invention is based on the collaborative traffic flow forecasting method embodiment process flow diagram of bus or train route.
Embodiment
For making the object, technical solutions and advantages of the present invention clearly, below in conjunction with accompanying drawing, embodiment of the present invention is described further in detail.
Fig. 1 the present invention is based on the collaborative traffic flow forecasting system example structure schematic diagram of bus or train route.The invention provides a kind of traffic flow forecasting system collaborative based on bus or train route, comprise: roadside unit, board units, traffic predicting unit.
Described roadside unit comprises: vehicle data receiver module, vehicle data processing module, Dedicated Short Range Communications, (DSRC, DedicatedShortRangeCommunication) module, traffic flow data sending module.
Described board units comprises: Dedicated Short Range Communications, (DSRC, DedicatedShortRangeCommunication) module, vehicle data sending module, navigation module, traffic predicted data receiver module.
Described traffic predicting unit comprises: Dedicated Short Range Communications, (DSRC, DedicatedShortRangeCommunication) module, traffic flow data receiver module, traffic flow data processing module, traffic predicted data sending module.
Fig. 2 the present invention is based on the collaborative traffic flow forecasting method embodiment process flow diagram of bus or train route.The invention provides a kind of traffic flow forecasting system collaborative based on bus or train route and method, comprise: step one, collection vehicle data.Gather the vehicle data in certain limit by roadside unit, described vehicle data refers to the basic running data of vehicle location, speed and Route Planning Data; The vehicle data that step 2, process receive.Roadside unit receives the vehicle data in certain limit by Dedicated Short Range Communications, processes, obtain real-time estimate traffic flow data to the vehicle data received; Step 3, real-time estimate traffic.Traffic predicting unit, according to real-time estimate traffic flow data, judges real-time traffic, and real-time estimate traffic road condition data is sent to board units by Dedicated Short Range Communications.
In the process of collection vehicle data, the scope of roadside unit collection vehicle data is within 1km, and roadside unit collection vehicle data are zonal.The vehicle data method that roadside unit process receives: (1) roadside unit vehicle data processing module, processes Route Planning Data and the basic running data of vehicle location, and judgement is at high-speed road conditions or under urban traffic situation.(2) under high-speed road conditions, in conjunction with car speed, suppose that Vehicle Speed is not less than minimum speed limit 60km/h, not higher than Maximum speed limit 120km/h, get the mean value of current vehicle speed and 90km/h, predict after 15 minutes, the traffic flow in certain section.If current vehicle speed is 100km/h, fast mean value of picking up the car is 95km/h.Under urban traffic situation, in conjunction with car speed, suppose that Vehicle Speed is not less than 10km/h, not higher than 80km/h, get the mean value of current vehicle speed and 45km/h, predict after 15 minutes, the traffic flow in certain section.If current vehicle speed is 60km/h, fast mean value of picking up the car is 52.5km/h.
Traffic predicting unit traffic flow data processing module, processes traffic flow data, judges real-time traffic.Judge real-time traffic method: calculate real-time estimate traffic flow according to traffic flow data, with compared with the maximum traffic flow in a certain place, in this, as basis for estimation.Be 100 automobiles per minute as by the maximum traffic flow in a certain place, real-time estimate traffic flow is 120 automobiles per minute, then this place traffic congestion of real-time estimate.
These are only representative instance of the present invention, be not used for limiting practical range of the present invention.Namely all equalizations done according to the present patent application the scope of the claims change and modify, and are all the scope of the claims of the present invention and cover.
Claims (10)
1., based on the traffic flow forecasting system that bus or train route is collaborative, it is characterized in that: comprise roadside unit, board units and traffic predicting unit.
2. the traffic flow forecasting system that bus or train route according to claim 1 is collaborative, it is characterized in that, described roadside unit comprises: vehicle data receiver module, vehicle data processing module, Dedicated Short Range Communications, (DSRC, DedicatedShortRangeCommunication) module, traffic flow data sending module.
3. the traffic flow forecasting system that bus or train route according to claim 1 is collaborative, it is characterized in that, described board units comprises: Dedicated Short Range Communications, (DSRC, DedicatedShortRangeCommunication) module, vehicle data sending module, navigation module, traffic predicted data receiver module.
4. the traffic flow forecasting system that bus or train route according to claim 1 is collaborative, it is characterized in that, described traffic predicting unit comprises: Dedicated Short Range Communications, (DSRC, DedicatedShortRangeCommunication) module, traffic flow data receiver module, traffic flow data processing module, traffic predicted data sending module.
5. the traffic flow forecasting system collaborative according to the arbitrary described bus or train route of claim 1-4, it is characterized in that, described vehicle data comprises vehicle location, the basic running data of speed and Route Planning Data; The basic running data of described vehicle location, speed and Route Planning Data are obtained by board units; Described Route Planning Data refers to vehicle destination, approach locality data.
6. the traffic flow forecasting system collaborative according to the arbitrary described bus or train route of claim 1-4, it is characterized in that, described traffic flow data refers to by a certain place real-time estimate traffic flow data; Described traffic predicted data refers to according to described traffic flow data, in combination with the maximum traffic flow data in a certain place, and the real-time estimate traffic information obtained.
7., based on the traffic flow forecasting method that bus or train route is collaborative, it is characterized in that:
Step one, collection vehicle data: gather the vehicle data in certain limit by roadside unit, described vehicle data refers to the basic running data of vehicle location, speed and Route Planning Data;
The vehicle data that step 2, process receive: roadside unit is by Dedicated Short Range Communications, (DSRC, DedicatedShortRangeCommunication) vehicle data in certain limit is received, the vehicle data received is processed, obtains real-time estimate traffic flow data;
Step 3, real-time estimate traffic: traffic predicting unit is according to real-time estimate traffic flow data, judge real-time traffic, and real-time estimate traffic road condition data is sent to board units by Dedicated Short Range Communications, (DSRC, DedicatedShortRangeCommunication).
8. the traffic flow forecasting method collaborative based on bus or train route according to claim 7, it is characterized in that, described step one comprises further:
(1) board units sends this vehicle data by Dedicated Short Range Communications, to roadside unit, and described vehicle data refers to the basic running data of vehicle location, speed and Route Planning Data;
(2) roadside unit receives the vehicle data of board units transmission by Dedicated Short Range Communications.
9. the traffic flow forecasting method collaborative based on bus or train route according to claim 7, it is characterized in that, described step 2 comprises further:
(1) roadside unit vehicle data processing module, processes Route Planning Data and the basic running data of vehicle location, and judgement is at high-speed road conditions or under urban traffic situation;
(2) under high-speed road conditions, calculate in conjunction with car speed, ((minimum speed limit+Maximum speed limit)/2+ current vehicle speed)/2=link prediction traffic flow.
10. the traffic flow forecasting method collaborative based on bus or train route according to claim 7, it is characterized in that, described step 3 comprises further:
(1) traffic predicting unit traffic flow data processing module, processes traffic flow data, judges real-time traffic.
(2) traffic predicting unit traffic predicted data sending module, is sent to board units by real-time estimate traffic road condition data by Dedicated Short Range Communications.
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