Method for modeling car-following traffic flow characteristic in Internet of vehicles environment

Abstract

A method for modeling a car-following traffic flow characteristic in an Internet of vehicles (IOV) environment comprises the following steps of: 1) modeling by using a full speed difference car-following model as an ordinary vehicle microcosmic car-following traffic flow model; 2) connected vehicle car-following behavior modeling; 3) ordinary vehicle car-following model stability analysis; 4) connected vehicle car-following model stability analysis; 5) mixed traffic flow stability analysis; 6) parameter calibration of a ordinary vehicle car-following model and a connected vehicle car-following model; 7) simulation verification of a mixed traffic flow under different IOV permeability by using the parameter-calibrated models. The method complies with the actual situation of popularization and promotion of the IOV, calibrates the parameters of the selected ordinary vehicle and connected vehicle car-following models by using actually measured traffic data, and increases the credibility of a traffic simulation verification result. The method can provide a basic basis for the design of the traffic control and driving strategy in the process of popularization of the IOV.

Description

Technical field [0001] The invention belongs to the field of traffic flow control, and in particular relates to a method for modeling car-following traffic flow characteristics in a car networking environment. Background technique [0002] With the development of the economy, the number of motor vehicles continues to increase, but for various reasons, the transportation infrastructure is unable to meet the vehicle's demand for road capacity. The resulting traffic congestion, environmental pollution and traffic safety problems have become increasingly serious. [0003] With the rapid development of information and communication technology, with the help of a series of wireless communication technologies, the Internet of Vehicles technology that realizes the interconnection and mutual sharing of information between people, vehicles and roads has gradually become popular. This technology can improve the synergy of vehicles in the entire traffic flow and alleviate Suppress traffic and ...

AI Technical Summary

Problems solved by technology

However, the settings of the above simulation parameters are mostly based on assumptions, and there is no mathematical derivation and proof in the research process.

In 2012, Shi Zhongke and others published the invention patent "Stability Modeling Method of OVDM Traffic Flow Following Model Considering Multiple Vehicles" (Application Publication No.: CN 102800193A), which discloses an OVDM traffic flow following model considering multiple vehicles. The car model stability modeling method is used to solve the technical problem of poor adaptability of the existing OVDM micro-traffic flow car-following model to the ITS environment

[0004] The above-mentioned analysis of the traffic flow characteristics of car-following behavior in the Internet of Vehicles environment does not systematically derive and simulate the characteristics of the single car-following traffic flow composed of ordinary cars and connected cars and the mixed traffic flow characteristics under different Internet of Vehicles penetration rates. And there is a lack of calibration of the model with measured traffic data, so there will be problems such as low reliability of simulation results

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