Open Access
ARTICLE
Research on the Optimization Design of Intersections for Safe Operation of Large Trucks
Yujie Bao, Pincheng Wang*, Yuhang Li
Business School, University of Shanghai for Science & Technology, Shanghai, China
* Corresponding Author: Pincheng Wang. Email:
Journal of Information Hiding and Privacy Protection 2020, 2(3), 143-154. https://doi.org/10.32604/jihpp.2020.09759
Received 12 August 2020; Accepted 29 September 2020; Issue published 18 December 2020
Abstract
When big trucks are running at urban road intersections, they are easy
to interfere with other motor vehicles, and the turning big trucks are easy to have
conflicts with non-motor vehicles and pedestrians, which will affect the safety of
intersections. This paper first studied the intersection of trucks to the running
trajectory, on this basis, through the establishment of mathematical model
analysis of large truck steering conditions inside the wheel, and the influence of
blind area to the driver. In the research of intersection safety design, the safety
design is divided into three parts: Entrance road, internal operation and signal
control. At the same time, the design method of the entrance road, the interior of
the intersection and the signal control is given, which improves the safety of the
truck driving at the intersection. Finally, the intersection of Jungong road and
Zhoujiazui road in Yangpu district of Shanghai was selected as a case, and the
optimal design of the intersection for large trucks was carried out through the
investigation and analysis of actual data. The evaluation and analysis were
carried out by using the multi-index matter-element model. The results show that
the comprehensive safety correlation degree of the intersection is reduced to 0.42,
and the safety level of is improved by one level.
Keywords
Cite This Article
Y. Bao, P. Wang and Y. Li, "Research on the optimization design of intersections for safe operation of large trucks,"
Journal of Information Hiding and Privacy Protection, vol. 2, no.3, pp. 143–154, 2020. https://doi.org/10.32604/jihpp.2020.09759