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Traffic flow cellular automaton modeling method under car networking environment

A modeling method and Internet of Vehicles technology, applied in the traffic control system of road vehicles, traffic control systems, special data processing applications, etc., can solve the problems of relatively few studies on vehicle operation rules, and achieve improved road traffic capacity and high Speed ​​of operation, effect of improving traffic conditions

Inactive Publication Date: 2017-05-10
HARBIN INST OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The current research on the Internet of Vehicles is mostly the optimization and improvement of hardware facilities such as lane departure alarms, adaptive cruise control, forward collision warning functions, and other on-board functions or road test systems. Relatively little research has been done to define

Method used

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  • Traffic flow cellular automaton modeling method under car networking environment
  • Traffic flow cellular automaton modeling method under car networking environment
  • Traffic flow cellular automaton modeling method under car networking environment

Examples

Experimental program
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Embodiment 1

[0046] A cellular automata modeling method for traffic flow in the Internet of Vehicles environment. The road conditions are defined as follows: the vehicle is controlled by the driver; each vehicle cell can communicate with the front to obtain accurate driving information of the vehicle in front, and The traffic information of oneself communicates with the vehicle behind; the driver makes correct judgments and decisions based on the acquired accurate traffic environment information, the method is as follows:

[0047] (1). Modeling rules of single-lane cellular automata

[0048] Step 1: Acceleration, v n (t+1)=min(v n (t)+1,v max ) corresponds to the characteristics that the driver expects to drive at the maximum speed in real life;

[0049] Step two: slow down,

[0050] v n (t+1)=min(v n (t+1),d n +v' n+1 (t+1))

[0051] v' n+1 (t+1)=min(v n+1 (t), v max -1,d n+1 (t))

[0052] The driver takes deceleration measures in order to avoid a collision with the vehicle ...

Embodiment 2

[0070] Simulation Analysis of Cellular Automata under the Environment of Internet of Vehicles

[0071] (1) Simulation environment setting method

[0072] According to the rules introduced above, use MATLAB to build a simulated road section. At the initial moment of the simulation, the system initializes the vehicle's position information and speed information. After the simulation starts, in each simulation step, the vehicle's position and speed are updated according to the model rules until the simulation time ends.

[0073] Take the single-lane model as an example. Based on the idea of ​​MATLAB matrix and image processing module, a 1x100 matrix is ​​used to represent a single-lane road cell, and a value of 1 indicates that there is a car, and a value of 0 indicates that there is no car, that is, the simulated road is composed of 100 cells, each cell Cell length 5m, maximum speed v max =5. figure 1 It is the system operation interface in the MATLAB environment, where blac...

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Abstract

The invention provides a traffic flow cellular automaton modeling method under a car networking environment. The traffic flow cellular automaton modeling method is applicable to vehicle operation rules under the car networking environment, and automaton modeling simulation is combined for realizing simulation on traffic flow, so that traffic flow characteristics are analyzed. On the basis of a Nasch model, characteristics of the car networking environment are combined, single lane operation rules are established, road operation conditions are simulated; and then a double lane model is built, and road traffic condition is more really reflected. The novel method provided by the invention has the advantages that prediction on speed and lane changing condition of a preceding vehicle is added, the traffic flow in a traffic scene can be effectively simulated, and traffic simulation reality is improved; and results show that a vehicle under the car networking environment has higher operation speed, road capacity is greatly improved, and traffic condition is improved.

Description

technical field [0001] The invention relates to a traffic flow cellular automaton modeling method under the environment of the Internet of Vehicles. Background technique [0002] Since the end of the 20th century, the number of automobiles in my country has entered the fast lane of growth. At the same time, the probability of traffic accidents has also increased year by year. According to statistics from the Traffic Management Bureau of the Ministry of Public Security, in 2010, there were 3,906,164 traffic accidents across the country, a year-on-year increase of 35.9%. Among them, there were 219,521 casualties caused by road traffic accidents, and the direct property loss reached 930 million yuan. Safety guarantee is the most basic requirement for vehicle operation. Although there are many reasons for traffic accidents, the advancement of vehicle-mounted active safety systems and the realization of vehicle-road coordination systems can undoubtedly provide more security for ...

Claims

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Application Information

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IPC IPC(8): G08G1/16G06F17/50
CPCG06F30/20G08G1/166
Inventor 王健陈晓旭马国胜
Owner HARBIN INST OF TECH
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