Citation: | XU Jin, CHEN Qin, CHEN Zhengwei, ZHANG Gaofeng, YUAN Quan, CHEN Jian. Review of Roadway Facility Design for Self-Driving Cars[J]. Journal of Southwest Jiaotong University, 2023, 58(6): 1366-1377. doi: 10.3969/j.issn.0258-2724.20220007 |
With the continuous breakthrough and development of intelligent connected vehicle technologies, highly automated self-driving cars have gradually matured and entered public life. Different from manual driving cars, self-driving cars integrate the functions of environmental perception, independent decision-making, as well as control and execution. As a result, it can complete the self-driving for typical or all roadway conditions. The improvement and adjustment in roadway facilities will help to speed up the arrival of the self-driving era. Therefore, it is necessary to clarify the demand and impact of self-driving cars on the design of roadway facilities. Firstly, how the roadway facilities adapt to the driving behavior of self-driving cars was analyzed from five aspects such as horizontal and vertical alignment, cross-section design, traffic signs and markings, parking facilities, and digital roadway facilities. Secondly, the status and development trends of smart roadside facilities and self-driving exclusive lanes were summed up. Then, the research methods of roadway facilities for self-driving cars in China and abroad were summarized, including virtual simulation tests and field driving tests, and the experimental roadways constructed for field driving tests around the world were reviewed. Finally, the focus of and the limitations of existing research were summarized, and the challenges and future development trends of this research field were prospected. The planning and design of existing roadway facilities do not foresee the arrival of self-driving cars; before the widespread popularization of self-driving, manual driving and self-driving cars will coexist for a long time. Therefore, roadway facilities should be designed according to the development stage and future trends of self-driving. This work provides a theoretical basis for roadway facility design adapted to self-driving cars.
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