Chapter
Aug 31, 2020
International Conference on Transportation and Development 2020

Critical Speed and Distance Analysis Based on Moving Vehicle Motion Model

Publication: International Conference on Transportation and Development 2020

ABSTRACT

With the development of intelligent connected network and cooperative vehicle- infrastructure systems, the research of dynamic safety distance is still playing an essential role in CVIS. A short distance between moving cars is dangerous for its incapacity of preventing various types of unexpected situations and potential hazards, meanwhile, a distance which is too long is inefficient in utilizing the traffic flow and road resources. Based on the physical model of automobile braking process and AASHTO (American Expressway and Transportation Association) model, this paper establishes the calculation model of critical safety distance in automobile driving process by analyzing the parameters of automobile braking acceleration, the time when the braking force reaches its maximum and driver’s reaction time. The simulation experiments prove that this model can effectively improve the traffic efficiency of highways and avoid traffic accidents, provided a theoretical reference for the automatic driving system, and the assisted driving system.

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REFERENCES

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Published In

Go to International Conference on Transportation and Development 2020
International Conference on Transportation and Development 2020
Pages: 301 - 312
Editor: Guohui Zhang, Ph.D., University of Hawaii
ISBN (Online): 978-0-7844-8314-5

History

Published online: Aug 31, 2020
Published in print: Aug 31, 2020

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Authors

Affiliations

Xuelong Zhao, Ph.D. [email protected]
1School of Computer Science and Engineering, Nanjing Univ. of Science and Technology, Nanjing, P.R. China. Email: [email protected]
Xiaoshan Liao [email protected]
2Bachelor, School of Computer Science and Engineering, Nanjing Univ. of Science and Technology, Nanjing, P.R. China. Email: [email protected]
Yong Qi, Ph.D. [email protected]
3School of Computer Science and Engineering, Nanjing Univ. of Science and Technology, Nanjing, P.R. China. Email: [email protected]
Baozhuo Wang [email protected]
4Bachelor, Jiangsu Zhongda Intelligent Transportation Industry Research Institute Co. Ltd., Changzhou, P.R. China. Email: [email protected]

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