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The Tunnel Climbing Acceleration Reminder System Based on Vehicle Dynamics
ISSN: 0148-7191, e-ISSN: 2688-3627
Published March 28, 2017 by SAE International in United States
This content contains downloadable datasetsAnnotation ability available
Road traffic congestion sometimes happens at tunnel exit even without high traffic flow. One reason is that the deceleration process is imperceptible when the vehicle is driving to the tunnel exit with gradual upgrade slopes. Nowadays regulations are more concentrated in transport sectors, and control measures are applied to vehicles through the tunnel. This process is careless of vehicles’ specific characteristics and easily distract the driver attention.
In this paper, a tunnel climbing acceleration reminder system is introduced. When the speed drop is detected and the analysis show this is due to the driver's unconscious behavior, the system will remind the driver to speed up.
Based on the dynamic model and the tunnel properties, the relationship between the throttle opening degrees and the duration with the speed change is studied. Then, the engine braking is considered for the variation of speeds and slopes. Then combining the tunnel lighting effects on drivers, unconscious deceleration reasons is explored. The judgement criterion for the driver's unconscious behavior is determined. The geometric data and traffic flow data of the Wuhan Yangtze River Tunnel is used to verify the function of this system.
The study shows that, during the start of morning rush and the end of evening peak, this on-board system could allow the average traffic congestion time dropped by 5-30%, which means higher traffic efficiency and comfort driving experience.
CitationLiu, H., Tan, G., Yang, M., Zhou, X. et al., "The Tunnel Climbing Acceleration Reminder System Based on Vehicle Dynamics," SAE Technical Paper 2017-01-0079, 2017, https://doi.org/10.4271/2017-01-0079.
Data Sets - Support Documents
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- Zhou Hongmin, Guo Zhongyin and Liao Zhigao, Humanization design of traffic facilities in tunnel section. Shandong Communication Science and Technology, 2008 (4): 78-81.
- Jinhui et al. Study on the recognition method of slope based on longitudinal dynamics. Journal of mechanical engineering, 2002.38 (1): 79-82, 86.
- Yu Ting, Ma Jianxiao and Geng Xiaojian, the urban tunnel exit speed model based on factor analysis. Forest engineering, 2015.31 (5): 91-95 page.
- Yang Zhen and Guo Zhongyin, Study on the speed change of the tunnel entrance and exit. Shanghai Highway, 2006 (1): 48-51Page.
- Li Xueling, Jin Niansheng and Lin Miao, Analysis of the Running Speed of the Long Highway Tunnel in the Import and Export Section of Mountain Highway, Highway and Automobile Transportation, 2011 (4): 73-75.
- Zhu Zhandong, Rong Jian and Zhou Wei, Study on the passenger car running speed model in highway tunnel section. Highway traffic science and technology, 2010.27 (7): 123-127 page.
- Wang Yajun, Study on the passenger car speed prediction model in the highway tunnel, 2010, Chang'an University.
- Zhao Zhongjie, Tian Mei and Dong Min'e, Fuzzy Algorithm for Optimal Travel Speed in Highway Tunnels. Journal of Chang'an University (Natural Science Edition), 2007. 27 (3): 67-70.
- Lei Bin, Research on the Key Technologies of Traffic Safety Guarantee for Continuous Longitudinal Slope Traffic on Heavy Haul Transportation Expressway, 2013, Chang'an University.
- Samy, S.A., Shanmuganathan T. and John J.G., Observing the Thermodynamic Properties in Vehicle Dynamics of Automobiles for improving the ECU performance based on Analogy method. 2015 INTERNATIONAL CONFERENCE ON ROBOTICS, AUTOMATION, CONTROL AND EMBEDDED SYSTEMS (RACE), 2015.
- Huang, D.W. and Tsai C.W., Low-density limit of the Nagel-Schreckenberg model. PHYSICAL REVIEW E, 2001. 63(01210111).
- Krammes R A, Bracken R Q, Shafer M A, et al. Horizontal Alignment Design Consistency for Rural Two 一 Lane Highways. Washington ,D.C.: U.S. Department of Transportation Association of Canada, 1999, 45-61
- Lv Xiaoyang, Kong Lingjiang and Liu Muren, Macroscopic Equation Analysis of One - dimensional Cellular Automata Stochastic Traffic Flow. Journal of physics, 2001.50 (7): 1255-1259.
- Zou Jie, traffic flow model based on cellular automata, 2007, Shandong University of Science and Technology.
- Goatin, P., Goettlich S. and Kolb O., Speed limit and ramp meter control for traffic flow networks. ENGINEERING OPTIMIZATION, 2016. 48(7): p. 1121-1144.