| 基于自然驾驶数据的高速公路出口区换道风险模型 |
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| 引用本文： | 张兰芳,王淑丽,陈程,杨旻皓,折欣.基于自然驾驶数据的高速公路出口区换道风险模型[J].同济大学学报(自然科学版),2019,47(10):1446-1453. |
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| 作者姓名： | 张兰芳 王淑丽 陈程 杨旻皓 折欣 |
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| 作者单位： | 同济大学 道路与交通工程教育部重点实验室，上海 201804,同济大学 道路与交通工程教育部重点实验室，上海 201804,上海国际机场集团 飞行管理部，上海 201202,上海市城市建设设计研究总院（集团）有限公司 道路与桥梁设计研究院，上海 200125,同济大学 道路与交通工程教育部重点实验室，上海 201804 |
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| 基金项目： | 国家重点研发计划(课题编号：2016YFC0802701) |
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| 摘 要： | 依托上海自然驾驶实验数据,提取高速公路出口区的交通流特性数据和驾驶行为样本.以单向四车道高速公路出口为例,考虑不同道路交通环境和出匝换道路径因素,基于比例优势模型构建高速公路出口区换道风险模型.在该模型基础上生成换道风险图谱,解析高速公路出口区换道风险分布特征,为车流控制管理提供理论决策支持.
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| 关 键 词： | 自然驾驶 高速公路出口区 比例优势模型 换道风险模型 换道风险图谱 |
| 收稿时间： | 2018/12/10 0:00:00 |
| 修稿时间： | 2019/7/26 0:00:00 |
Lane-change Risk Model of Freeway Off-ramp Areas Based on Naturalistic Driving Data |
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| ZHANG Lanfang,WANG Shuli,CHEN Cheng,YANG Minhao and SHE Xin.Lane-change Risk Model of Freeway Off-ramp Areas Based on Naturalistic Driving Data[J].Journal of Tongji University(Natural Science),2019,47(10):1446-1453. |
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| Authors: | ZHANG Lanfang WANG Shuli CHEN Cheng YANG Minhao and SHE Xin |
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| Institution: | Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 201804, China,Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 201804, China,Flight Area Management Department, Shanghai International Airport Co., Ltd., Shanghai 201202, China,Road and Bridge Design Institute, Shanghai Urban Construction Design and Research Institute, Shanghai 200125, China and Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 201804, China |
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| Abstract: | 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. |
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