CN106971578B - Real-time estimation system of vehicle travel time based on vehicle ad hoc network - Google Patents

Abstract

The invention relates to a real-time estimation system for vehicle travel time based on a vehicle-mounted self-organizing network, which includes an intelligent terminal with a built-in CPU, and the intelligent terminal is connected with a GPS module, a communication module, a travel time estimation module and an input module respectively; the GPS module uses To obtain the traffic topology of the vehicle; the communication module performs wireless communication with the external traffic facilities to obtain the traffic flow information of this road section and the traffic light information of the next intersection; the input module is used to input the destination; the driving The time estimation module estimates the travel time of the vehicle from the current intersection to the next intersection based on the traffic flow information and traffic light information in front, and re-estimates the time to reach the destination according to the obtained time. The present invention analyzes and predicts the traffic conditions of the road section ahead, more accurately estimates the driving time to the destination, and provides a basis for the driver's route selection.

Description

Real-time estimation system of vehicle travel time based on vehicle ad hoc network

technical field

The invention relates to the technical field of traffic forecasting and planning, in particular to a vehicle travel time real-time estimation system based on a vehicle ad hoc network.

Background technique

With the development of the economy and the continuous improvement of personal living standards, the increase in car ownership has made the road conditions in urban scenes very complicated, bringing a lot of inconvenience and uncertainties to drivers. How to use the existing technology to estimate the travel time of the vehicle more accurately and provide a reliable basis for route selection under the condition of knowing the location of the destination in urban traffic has become the research focus of the current vehicle route navigation system.

The vehicle-mounted wireless network system is a comprehensive service system that provides participants with a variety of services through information collection, processing, release, and exchange, such as road navigation and location query. Vehicle ad hoc network is an important networking form in vehicle wireless network system. Vehicle ad hoc network is a special type of wireless mobile ad hoc network (MANET). Its nodes are vehicles moving on traffic roads. It has self-organizing characteristics, easy deployment, easy expansion, and no energy constraints. The vehicle nodes in the vehicular ad hoc network can be supported by sufficient energy, the carrying space of the vehicle can also ensure the good performance of its wireless communication equipment, and it also has powerful computing power and storage capacity. Similarly, roadside facilities also have sufficient Energy supply, good wireless communication capabilities and computing storage capabilities.

Contents of the invention

The technical problem to be solved by the present invention is to provide a real-time estimation system for vehicle travel time based on the vehicle-mounted ad hoc network. By analyzing and predicting the traffic conditions of the road ahead, the travel time to the destination can be estimated more accurately, which is the driving force for the driver. basis for path selection.

The technical solution adopted by the present invention to solve the technical problems is: provide a vehicle travel time real-time estimation system based on the vehicle ad hoc network, including an intelligent terminal with a built-in CPU, and the intelligent terminal is connected with a GPS module, a communication module, and a travel time respectively. An estimation module and an input module; the GPS module is used to obtain the traffic topology of the vehicle; the communication module communicates wirelessly with external traffic facilities to obtain the traffic flow information of this road section and the traffic light information of the next intersection; the The input module is used to input the destination; the travel time estimating module estimates the travel time of the vehicle from the crossroad to the next crossroad through the traffic flow information and traffic light information in front, and calculates the time to reach the destination according to the obtained time Time to re-estimate.

The travel time estimation module first calculates the duration of the vehicle running at a constant speed on the straight road under the condition of the vehicle density of the road ahead, until it joins the waiting queue, and then obtains the time for the vehicle to wait for the red light according to the real-time information. When the traffic light signal Operation, all vehicles at rest behind the stop line start to move at a uniform acceleration with an initial velocity of zero. Considering the width of the next intersection, estimate the time it takes for the waiting queue to clear and the vehicle to pass through the next intersection completely, and eventually the quasi-uniform velocity will be The duration of the trip, the time spent waiting at a red light, and the time taken to wait for the queue to clear and for the vehicle to fully pass through the next intersection are summed to obtain an estimate.

The travel time estimating module ignores the time the vehicle waits for the red light when the vehicle joins the waiting queue and the traffic light is green.

The intelligent terminal is also connected with a result display module, and the result display module is used to display the estimation result of the travel time estimation module.

The intelligent terminal is also connected with a voice prompt module, and the voice prompt module is used for voice notification of the estimation result of the travel time estimation module.

Beneficial effect

Owing to adopting above-mentioned technical scheme, the present invention has following advantage and positive effect compared with prior art:

The invention can accurately, effectively and timely help the driver to estimate and predict the driving time of the path ahead, so as to ensure the smoothness and modifiability of driving. The invention has small volume, light weight, low cost and easy realization.

The invention utilizes the vehicle ad hoc network, which can enable stable and high-quality communication between any two terminal nodes within the communication range, and can effectively reduce costs due to the free nature of the vehicle ad hoc network.

The calculation speed of the algorithm adopted by the present invention is fast, the complexity is low, and it is estimated according to the real-time traffic information, and the estimation result has higher accuracy, and at the same time, humanized prompts are provided to the driver through the result display module and the voice prompt module, and the interface Friendly, comfortable user experience.

Description of drawings

Fig. 1 is a system structure diagram of the present invention;

Fig. 2 is a system physical realization block diagram of the present invention.

Detailed ways

Below in conjunction with specific embodiment, further illustrate the present invention. It should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the teachings of the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.

Embodiments of the present invention relate to a vehicle travel time real-time estimation system based on a vehicle ad hoc network, as shown in Figure 1, comprising an intelligent terminal with a CPU, a GPS module, a communication module, a travel time estimation module, an input module, and a result Display module, voice prompt module. The intelligent terminal is respectively connected with the GPS module, the communication module, the travel time estimation module, the input module, the result display module and the voice prompt module, and the system is installed in the vehicle.

Wherein, the GPS module is used to obtain the traffic topology of the vehicle; the communication module communicates wirelessly with external traffic facilities to obtain the traffic flow information of this road section and the traffic light information of the next intersection; the input module is used for Input the destination; the travel time estimating module estimates the travel time of the vehicle from the crossroad to the next crossroad through the traffic flow information and traffic light information ahead, and re-estimates the time to reach the destination according to the obtained time . The result display module is used to display the estimation result of the travel time estimation module. The voice prompt module is used for voice notification of the estimation result of the travel time estimation module.

As shown in Figure 2, if a car wants to drive from this intersection to the next intersection, first use the GPS module to obtain the traffic topology of the vehicle, and then use the communication module to communicate wirelessly with external traffic facilities to obtain the traffic flow of this road section Information and traffic light information at the next intersection, for example, the vehicle obtains the number of vehicles on the road section and the remaining time of the red light through the vehicle ad hoc network and communication module, and then transmits the road condition information and traffic light data ahead to the driving time of the vehicle On the estimation module, the specific algorithm on the travel time estimation module performs data processing and calculation, estimates the travel time of the vehicle from this intersection to the next intersection, and then outputs the result, and humanizes the driver through the display module and voice module It will help the driver know the estimated time to reach the destination in real time, and provide a reference for route selection.

The algorithm that described vehicle traveling time estimation module adopts is as follows: (1) calculates under the situation of the vehicle density of road section ahead, the duration of vehicle quasi-uniform speed travel on straight road, until adding waiting queue; (2) vehicle enters waiting queue, According to the real-time information, the time for the vehicle to wait for the red light is obtained. If it is a green light, the duration of this stage is ignored; (3) Traffic light signal operation, all vehicles that are still behind the stop line start a uniform acceleration motion with an initial speed of zero, Considering the width of the next intersection, estimate the time it takes for the waiting queue to clear and the vehicle to pass through the next intersection completely; (4) enter a new straight road stage, and repeat the above steps until the vehicle reaches the destination, and the algorithm ends.

It is not difficult to find that the present invention utilizes the vehicle self-organizing network, and with the help of an embedded platform, solves the problem of vehicle travel time estimation in the case of particularly complicated urban road conditions. By collecting and calculating the corresponding information in the embedded platform, a real-time, intuitive and effective travel time estimation system is constructed.

Claims (3)

1. a vehicle travel time real-time estimation system based on vehicle-mounted self-organizing network, comprising the intelligent terminal of built-in CPU, it is characterized in that, described intelligent terminal is connected with GPS module, communication module, travel time estimation module and input module respectively; The GPS module is used to obtain the traffic topology of the vehicle; the communication module communicates wirelessly with external traffic facilities to obtain the traffic flow information of this road section and the traffic light information of the next intersection; the input module is used to input the destination ; The travel time estimation module estimates the travel time of the vehicle from the crossroad to the next crossroad through the traffic flow information and traffic light information ahead, and re-estimates the time to reach the destination according to the obtained time; The travel time estimation module first calculates the duration of the vehicle running at a constant speed on the straight road under the condition of vehicle density in the road ahead, until it joins the waiting queue, and then obtains the time the vehicle waits for the red light according to the real-time information. When the traffic light signal is operated, All vehicles stationary behind the stop line start with a uniform acceleration with an initial velocity of zero. Considering the width of the next intersection, estimate the time it takes for the waiting queue to clear and the vehicle to pass through the next intersection completely. Duration, the time of waiting for the red light and the time when the waiting queue is cleared and the time for the vehicle to pass through the next intersection are summed to obtain the estimated result; Light hours are ignored. 2. the vehicle travel time real-time estimation system based on vehicle ad hoc network according to claim 1, is characterized in that, described intelligent terminal is also connected with result display module, and described result display module is used for displaying described travel time estimation The estimated result of the module. 3. the vehicle travel time real-time estimation system based on vehicle ad hoc network according to claim 1, is characterized in that, described intelligent terminal is also connected with voice prompt module, and described voice prompt module is used for described travel time estimation The estimated result of the module will be announced by voice.