中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

重庆交通大学学报(自然科学版) ›› 2026, Vol. 45 ›› Issue (4): 81-88.DOI: 10.3969/j.issn.1674-0696.2026.04.10

• 交通运输+人工智能 • 上一篇    下一篇

基于安全势场的无信号环形交叉口车辆碰撞风险评价

李立1,谢权1,朱进玉1,王润民2,龚贤武1   

  1. (1. 长安大学 电子与控制工程学院,陕西 西安 710064; 2. 长安大学 信息工程学院,陕西 西安 710064)
  • 收稿日期:2025-09-09 修回日期:2026-03-11 发布日期:2026-04-29
  • 作者简介:李立(1985—),男,陕西西安人,教授,博士,主要从事智能交通方面的研究。E-mail:lili@chd.edu.cn 通信作者:龚贤武(1978—),男,福建武夷山人,副教授,博士,主要从事交通检测技术方面的研究。E-mail:xwgong@chd.edu.cn
  • 基金资助:
    国家重点研发计划项目(2024YFB2505705); 陕西省秦创原"科学家+工程师"队伍建设项目(2022KXJ-022)

Vehicle Collision Risks Assessment at Unsignalized Roundabouts Based on Safety Potential Field

LI Li1,XIE Quan1,ZHU Jinyu1,WANG Runmin2,GONG Xianwu1   

  1. (1. School of Electronic and Control Engineering, Changan University, Xian 710064, Shaanxi, China; 2. School of Information Engineering, Changan University, Xian 710064, Shaanxi, China)
  • Received:2025-09-09 Revised:2026-03-11 Published:2026-04-29

摘要: 针对基于替代安全指标的交通冲突分析方法在无信号环形交叉口车辆碰撞风险评价中存在的冲突车辆检测难、 多车冲突和道路边界约束难以建模等问题,提出了基于安全势场理论的车辆碰撞风险评估方法。首先,通过改进TTC(time-to-collision)指标,设计了面向环形车道追尾冲突和入口侧向的冲突车辆分类检测方法; 接着,基于安全势场理论,针对道路边界、 车道线、 周边车辆对本车的影响,分别构建了势能场和动能场,并根据这些因素叠加作用的安全势场,提出了一种车辆碰撞风险评价指标CPF(collision potential field); 最后,基于真实无信号环形交叉口车辆轨迹数据,采用粒子群优化算法对CPF指标进行参数标定,并从冲突严重程度、 冲突车辆类型和冲突事件类型等角度,验证了冲突车辆检测方法和CPF指标的适用性。结果表明:提出的冲突车辆检测算法共识别出6 568组冲突车辆对,高于虚拟车道法的4 097组,对不同严重程度冲突事件的检测敏感度也更高,且改进了虚拟车道法无法识别环形车道入口处冲突事件的缺陷; 使用CPF指标衡量的车道线、 道路边界和周边车辆所施加势能场能够反映真实行车场景下的状况,CPF指标比传统TTC指标能够更加敏锐和准确地反映冲突车辆行驶方向变化、 冲突车辆距离较近且后车减速等特定场景下的碰撞风险动态变化特征。

关键词: 交通工程; 碰撞风险评价; 交通冲突分析; 环行交叉口; 安全势场

Abstract: To address the issues of traffic conflict analysis methods using surrogate safety indicators in the evaluation of vehicle collision risk at unsignalized roundabouts such as difficult detection of conflict vehicle, difficult modeling of multi-vehicle conflicts and road boundary constraints, a vehicle collision risk assessment method based on safety potential field theory was proposed. Firstly, a classified detection method of conflict vehicles was designed to identify rear-end conflicts on circular lanes and lateral conflicts on entrances of the lanes by improving the time-to-collision (TTC) indicator. Then, based on the safety potential field theory, potential and kinetic fields were respectively constructed, aiming to impacts of road boundaries, lane markings and surrounding vehicles on the subject vehicle. Furthermore, based on the safety potential field resulting from the superposition of these factors, a collision risk assessment indicator, namely CPF (collision potential field), was proposed. Finally, the particle swarm optimization algorithm was applied to carry out parameter calibration of CPF indicator, based on real vehicle trajectories collected from an unsignalized roundabout. The applicability of the conflict vehicle detection method and the CPF indicator was verified from the perspectives such as conflict severity, conflict vehicle type and conflict event type. The results show that the proposed conflict vehicle detection method identifies 6568 pairs of conflict vehicles, which is more than 4097 pairs identified by the virtual lane method. The proposed method also shows higher sensitivity in detecting conflict events with different severities and improves the defect that the virtual lane method cannot identify conflict events at the entrance of circular lanes. The potential field exerted by lane markings, road boundaries, and surrounding vehicles, which is measured by the CPF indicator, can reflect the conditions in real driving scenarios. Compared to the traditional TTC indicator, the CPF indicator is more sensitive and accurate in reflecting the dynamic variation features in collision risk in specific scenarios, such as changes in the driving direction of conflicting vehicles, proximity of conflicting vehicles, and deceleration of the rear vehicle.

Key words: traffic engineering; collision risk assessment; traffic conflicts analysis; roundabout; safety potential field

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