| 引用本文: | 程国柱,王婉琦,王连震,张舒茜.车辆换道行为风险评价方法研究进展[J].哈尔滨工业大学学报,2023,55(3):139.DOI:10.11918/202202018 |
| CHENG Guozhu,WANG Wanqi,WANG Lianzhen,ZHANG Shuqian.Research progress on risk assessment of vehicle lane-changing behavior[J].Journal of Harbin Institute of Technology,2023,55(3):139.DOI:10.11918/202202018 |
|
| 摘要: |
| 驾驶人的换道行为通常会对交通安全产生一定的负面影响，为了保证车辆换道安全，防止交通事故的发生，应该对车辆换道行为风险情况进行识别和评价。通过对国内外相关文献的系统研究，从文献统计分析、关键词可视化及数据集分析3个方面对车辆换道行为进行了综述，总结了车辆换道关键影响因素的研究热点；并通过回顾国内外车辆换道行为风险评价方法，总结分析了当前研究应用较为普遍的基于交通冲突的风险评价方法以及基于驾驶意图的风险评价方法；最后讨论了当前车辆换道行为风险评价研究存在的问题以及未来发展趋势。研究表明：车辆换道行为研究应结合交通环境特性，研究更具有普适性和可移植性的车辆换道模型是未来有待突破的研究方向；此外，在未来车辆换道行为风险评价研究中驾驶人驾驶意图、换道决策调整等变化是一个重要研究方向；基于当前车联网技术的发展，未来研究应考虑更广泛的影响因素，利用更加广泛的交通环境信息，考虑异构交通流环境对车辆换道行为风险的影响，进行更加综合的风险评价方法研究。研究人员有机会通过汽车远程信息,可以更好地理解驾驶行为和交通事故的成因，为车辆换道风险的综合评价方法研究带来了新的机遇和挑战。 |
| 关键词: 交通工程 车辆换道行为 风险评价 交通冲突 驾驶意图 |
| DOI：10.11918/202202018 |
| 分类号:U491.1 |
| 文献标识码:A |
| 基金项目:黑龙江省自然科学基金(LH2020G002)；中央高校基本科研业务费专项资金(2572021AW35) |
|
| Research progress on risk assessment of vehicle lane-changing behavior |
|
CHENG Guozhu,WANG Wanqi,WANG Lianzhen,ZHANG Shuqian
|
|
(School of Traffic and Transportation, Northeast Forestry University, Harbin 150040, China)
|
| Abstract: |
| The lane-changing behavior of drivers usually has a negative impact on traffic safety. In order to ensure the safety of vehicle lane-changing and prevent traffic accidents, the risk situation of vehicle lane-changing behavior should be identified. Through the systematic study of a large number of relevant publications at home and abroad, a review of vehicle lane-changing behavior was conducted from three aspects: statistical analysis of the literature, keyword visualization, and data set analysis. The research hotspots of key influencing factors of vehicle lane-changing were summarized. By reviewing the risk assessment methods of vehicle lane-changing behavior at home and abroad, the common risk assessment methods based on traffic conflict and driving intention were summarized and analyzed. Finally, the current issues and potential future directions for the risk assessment of lane-changing behavior were discussed. The existing research indicates that the research on lane-changing behavior should be combined with the characteristics of the traffic environment, and future research should focus on lane-changing models that are more universal and portable. In addition, the changes in drivers’ driving intention and lane change decision adjustment are important research directions for the future risk assessment of vehicle lane-changing behavior. Based on the development of the Internet of Vehicles, future research should consider a wider range of influencing factors, use more traffic environment data, consider the impact of heterogeneous traffic flow environments on the risk of vehicle lane-changing behavior, and conduct more in-depth risk evaluation method studies. Researchers can use vehicle telematics to better understand driving behaviors and factors leading to traffic accidents, which opens up new opportunities and challenges for the study of comprehensive evaluation methods for vehicle lane change risk evaluation. |
| Key words: traffic engineering lane-changing behavior risk assessment traffic conflict driving intention |
