Lane-Changing Decision Model at Urban Tunnel Convergence Section Based on Multi-Source Information Fusion-Reference-Cited by-同舟云学术

Lane-Changing Decision Model at Urban Tunnel Convergence Section Based on Multi-Source Information Fusion

Published:2021-12-14 Issue: Volume: Page:
ISSN:
Container-title:CICTP 2021
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Author:

Xu Qian¹¹²¹³,Shao Fei¹¹²¹³,Lin Shaofeng¹¹²¹³,Yan Xintong¹¹²¹³,Wang Jingtao¹¹²¹³

Affiliation:

1. College of Field Engineering, Army Engineering Univ. of PLA, Nanjing, Jiangsu.

2. National Univ. of Defense Technology.

3. Equipment Price Evaluation Center of Army Armament Dept., Beijing.

Publisher

American Society of Civil Engineers

Link

http://ascelibrary.org/doi/pdf/10.1061/9780784483565.132

Reference23 articles.

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2. Groeger J. (2000). Understanding driving: Applying cognitive psychology to a complex everyday task. London: Taylor and Francis.

3. Tijerina L. (1996). Final Report Program executive summary: Heavy vehicle driver workload assessment (Report No. DOT HS 808 467). Washington DC: National Highway Traffic Safety Administration.

4. Fei S. (2013). Research on Safety Service Level of Expressway Exit Doctoral Dissertation of Southeast University.

5. Stability of the car-following model on two lanes;Tang T.Q.;Physical Review E,2005

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