Title: Research on vehicle safe speed based on real-time ramp information

Authors: Chang Lv; Liu Shuo; Liu Peng; Liu Qiong-qiong; Yan Jin; Zhu Si-da; Hu Xiao-ming; Ni Jun; Chang Jiang

Addresses: Public Logistics Information Technology Service Platform of Small and Medium Enterprises in Jiangsu Province, Jiangsu Vocational College of Electronics and Information, Huai'an, 223003, China; Jiangsu Key Laboratory of Traffic and Transportation Security, Huaiyin Institute of Technology, Huai'an, 223001, China ' Jiangsu Key Laboratory of Traffic and Transportation Security, Huaiyin Institute of Technology, Huai'an, 223001, China ' Public Logistics Information Technology Service Platform of Small and Medium Enterprises in Jiangsu Province, Jiangsu Vocational College of Electronics and Information, Huai'an, 223003, China ' Public Logistics Information Technology Service Platform of Small and Medium Enterprises in Jiangsu Province, Jiangsu Vocational College of Electronics and Information, Huai'an, 223003, China ' Jiangsu Key Laboratory of Traffic and Transportation Security, Huaiyin Institute of Technology, Huai'an, 223001, China ' Jiangsu Key Laboratory of Traffic and Transportation Security, Huaiyin Institute of Technology, Huai'an, 223001, China ' Jiangsu Key Laboratory of Traffic and Transportation Security, Huaiyin Institute of Technology, Huai'an, 223001, China ' Jiangsu Key Laboratory of Traffic and Transportation Security, Huaiyin Institute of Technology, Huai'an, 223001, China ' School of Information Engineering, Yangzhou University, Yang Zhou, Huai'an, 225009, China

Abstract: The influence of longitudinal gradient is ignored in the ramp safe speed control of tank trucks. To solve this problem, taking CLW9390GYQA tank truck as an example, the image recognition technology is used to obtain the ramp curvature radius, transverse gradient and longitudinal gradient at one time. The model is utilised to calculate the safe speed, and the weight of the impact of the three ramp geometric parameters on the safe speed is calculated. Considering the influence of the longitudinal gradient, the ramp safety speed model is built by combining other ramp geometric parameters and vehicle parameters, and the safe speed is calculated in real time. Compared with the calculation result without considering longitudinal gradient, the results show that the safe speed model considering longitudinal gradient is more in line with the actual working condition of the tank truck, and the result is more accurate. The results are also applied to other vehicles and curves, with universal characteristics and provide a basis for intelligent vehicle speed control.

Keywords: tank truck; ramp; safe speed; image recognition; transverse gradient; longitudinal gradient.

DOI: 10.1504/IJVSMT.2022.129130

International Journal of Vehicle Systems Modelling and Testing, 2022 Vol.16 No.3, pp.196 - 211

Received: 06 Aug 2020
Accepted: 13 Mar 2021
Published online: 22 Feb 2023 *

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