Work

Research on the Stability Analysis of Car Following Model Influenced by Multiple Factors in the Internet of Vehicles Environment

Year: 2024

Type: book-chapter

Abstract: In the context of Internet of Vehicles (IoV) environment, although drivers can timely obtain information that affects their driving behavior through the IoV technology, but manual driving will still be necessary for a long time in the future under the current trend of technological development.Therefore, in the actual driving process, the driver not only retains memory of the status information of the front and rear vehicles themselves, but also can obtain more vehicle information through the IoV.Therefore, based on existing car following models, this paper establishes a car following model that considers the dual memory effect of the following vehicle and the information of multiple preceding vehicles, and conducts stability analysis on the model.The results show that the model can effectively improve the stability of traffic flow.

Source: Advances in engineering research/Advances in Engineering Research

DOI: 10.2991/978-94-6463-516-4_13

Authors: Jiacheng Xiao, Yuxing Yin, Yanzun Zhang, Yang Dai, Wei He

Institution: Chongqing Vocational College of Transportation

Language: English

Topic: Traffic control and management

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: hybrid

OpenAlex ID: W4402809871