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Design of Intelligent Speed Planning and Early Warning System for High Speed Curved Road

Published: 08 April 2020 Publication History

Abstract

According to an official US survey, traffic accidents at corners in highway accidents are eight times higher than in other road conditions [1]. Therefore, the warning of speed planning for corners is extremely important. This paper proposes a high-speed cornering intelligent speed planning early warning system for commercial vehicles with high-speed cornering that is prone to rollover accidents. Starting from the source of the driving, the system gives a hint to the driver before the cornering, and the slow throttle uses the inertial force to avoid the danger of brake failure caused by excessive braking on the brakes. At the same time, it can ensure that the vehicle leaves the corner at a safe speed to prevent the risk of rollover. Based on the lateral rollover model of the vehicle, the system calculates the critical safe speed of the curve, and combines with the longitudinal dynamics model to obtain the distance position for the slow release throttle to slide. In this paper, Trucksim is used to build a motion simulation platform, and combined with MATLAB simulation, the simulation results show that the sliding distance increases with the increase of the initial velocity and decreases with the increase of the radius of the curve. At the same time, the use of the system greatly reduces the braking time and braking distance, and the fuel economy is improved by about 3%. The research in this paper provides an early warning method for cornering rollover prevention, which lays a good foundation for the future intelligent assisted driving.

References

[1]
Hunan Provincial Institute of Transportation Engineering. Expressway Traffic Safety Review Manual [K]. Beijing: People's Transportation Publishing House, 2000
[2]
National Bureau of Statistics. China Statistical Yearbook [M]. China Statistics Press, 2016.
[3]
Zhang Xiankui. Research on vehicle rollover warning and control based on attitude monitoring [D]. Nanjing University of Aeronautics and Astronautics, 2007.
[4]
Yu Guizhen, Li Qin, Wang Yunpeng, et al. Research on Rolling Stability Analysis and Rollover Warning of Vehicle Curves[J]. Journal of Beijing University of Technology, 2014,40(04):574--579.
[5]
Zhang Siqi. Research on Lateral Stability Analysis and Control of Semi-trailer Trains under Complex Conditions[D]. Northeastern University, 2012.
[6]
Hong Jinfu. Design of Highway Warning Warning System Based on Vehicle Road Cooperation[J]. Shanxi Traffic Science & Technology, 2019(02): 25--27.
[7]
Huang Yong, Jiang Gongliang, Sun Wei, et al. Research on Expressway Curved Vehicle Speed Early Warning System Based on Image Processing Technology[J]. Journal of Shandong Jiaotong University, 2009,17(04):23--27.
[8]
Tian, S., Schwarz, C., and Wei, L., "Study on Predicting Bus Lateral Transfer Ratio Using a Modified Grey Model," SAE Technical Paper 2018--01-5008, 2018.
[9]
Aykent, B., "Effects of Sway Acceleration Control on Rollover Propensity and Assessment of Lateral Specific Forces," SAE Technical Paper 2010-01-1325, 2010.
[10]
Shang Jianwei. Research on Prediction Model of Vehicle Running Speed in Curved Section of Mountain Expressway [D]. Chang'an University, 2012.
[11]
Qu Xian. Research on road safety warning system for mountain road vehicles based on vehicle road coordination [D]. Chongqing Jiaotong University, 2015.

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  1. Design of Intelligent Speed Planning and Early Warning System for High Speed Curved Road

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    ICIIP '19: Proceedings of the 4th International Conference on Intelligent Information Processing
    November 2019
    528 pages
    ISBN:9781450361910
    DOI:10.1145/3378065
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    In-Cooperation

    • Guilin: Guilin University of Technology, Guilin, China
    • Wuhan University of Technology: Wuhan University of Technology, Wuhan, China
    • International Engineering and Technology Institute, Hong Kong: International Engineering and Technology Institute, Hong Kong

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 08 April 2020

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    Author Tags

    1. Anti-rollover
    2. Speed warning
    3. System design
    4. Vehicle dynamics

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    ICIIP 2019

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    Overall Acceptance Rate 87 of 367 submissions, 24%

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