Lane-change Risk Model of Freeway Off-ramp Areas Based on Naturalistic Driving Data

被引：0
|
作者：
Zhang L. [1 ]
Wang S. [1 ]
Chen C. [2 ]
Yang M. [3 ]
She X. [1 ]
机构：
[1] Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai
[2] Flight Area Management Department, Shanghai International Airport Co., Ltd., Shanghai
[3] Road and Bridge Design Institute, Shanghai Urban Construction Design and Research Institute, Shanghai
来源：
Tongji Daxue Xuebao/Journal of Tongji University | 2019年 / 47卷 / 10期
关键词：
Freeway off-ramp areas; Lane-change risk graph; Lane-change risk model; Naturalistic driving; Proportional odds model;
D O I：
10.11908/j.issn.0253-374x.2019.10.009
中图分类号：
学科分类号：
摘要：
Based on the data from Shanghai naturalistic driving study (SH-NDS), traffic flow characteristics data and driving behavior samples in freeway off-ramp areas were extracted. Illustrated by the example of 8-lane freeway off-ramp, considering the road traffic environment and exiting lane-change route for modeling purpose, a proportional odds model was adopted to fit the lane-change risk model of off-ramp areas. Based on the model, the lane-change risk graphs were drawn to visually describe the lane-change risk distribution characteristics, providing a theoretical decision support for traffic flow management. © 2019, Editorial Department of Journal of Tongji University. All right reserved.
引用
收藏
页码：1446 / 1453
页数：7
相关论文
共 30 条
  • [1] Mccartt A.T., Northrup V.S., Retting R.A., Types and characteristics of ramp-related motor vehicle crashes on urban interstate roadways in Northern Virginia, Journal of Safety Research, 35, 1, (2004)
  • [2] Gipps P.G., A model for the structure of lane-changing decisions, Transportation Research, Part B: Methodological, 20, 5, (1986)
  • [3] Mori M., Miyajima C., Hirayama T., Et al., Integrated modeling of driver gaze and vehicle operation behavior to estimate risk level during lane changes, Proceedings of the 16th International IEEE Annual Conference on Intelligent Transportation Systems, pp. 2020-2025, (2013)
  • [4] Wang C., Research on several key problems of vehicle lane change warning, (2012)
  • [5] Li Y., Lu J., Xu K., Crash risk prediction model of lane-change behavior on approaching intersections, Discrete Dynamics in Nature and Society, pp. 1-12, (2017)
  • [6] Noh S., An K., Risk assessment for automatic lane change maneuvers on highways, 2017 IEEE International Conference on Robotics and Automation (ICRA), pp. 247-254, (2017)
  • [7] Park H., Oh C., Moon J., Et al., Development of a lane change risk index using vehicle trajectory data, Accident Analysis and Prevention, 110, (2018)
  • [8] Jiang X., Lane-change risk evaluation of freeway diverging area considering visual characteristics, (2017)
  • [9] Ahmed K.I., Modeling drivers' acceleration and lane changing behavior, (1999)
  • [10] Laval J.A., Daganzo C.F., Lane-changing in traffic streams, Transportation Research, Part B: Methodological, 40, 3, (2006)
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