论文标题
使用无人机视频数据合并部分时，汽车和卡车之间的车道变化冲突分析
Analysis of lane-change conflict between cars and trucks at merging section using UAV video data
论文作者
论文摘要
由于交通冲突的频率很高，高速公路上的坡道合并部分通常被确定为易碎的位置。很少有交通冲突分析研究全面考虑了高速公路合并部分的不同车辆类型。因此，这项研究的主要目的是分析高速公路合并部分不同车辆类型之间的冲突。现场数据由中国上海合并区域的无人机（UAV）收集。车辆提取方法用于获得车辆轨迹。时间碰撞（TTC）被用作替代安全措施。汽车冲突的TTC是最小的，而卡车卡车冲突的TTC最大。交通冲突经常发生在坡道和加速车道上。结果表明，不同车辆类型之间的空间变化冲突的空间分布明显不同，这表明车辆驾驶员应保持安全距离，尤其是汽车驾驶员。此外，为了减少合并区域的车道变化冲突，建议交通管理机构在加速车道开始时将虚线谎言转换为实心车道。
The freeway on-ramp merging section is often identified as a crash-prone spot due to the high frequency of traffic conflicts. Very few traffic conflict analysis studies comprehensively consider different vehicle types at freeway merging section. Thus, the main objective of this study is to analyse conflicts between different vehicle types at freeway merging section. Field data are collected by Unmanned Aerial Vehicle (UAV) at merging areas in Shanghai, China. Vehicle extraction method is utilized to obtain vehicle trajectories. Time-to-collision (TTC) is utilized as the surrogate safety measure. TTC of car-car conflicts are the smallest while TTC of truck-truck conflicts are the largest. Traffic conflicts frequently occur at on-ramp and acceleration lane. Results show the spatial distribution of lane-change conflicts is significantly different between different vehicle types, suggesting that vehicle drivers should maintain safe distance especially car drivers. Besides, in order to decrease lane-change conflict at merging area, traffic management agencies are suggested to change dotted lie to solid lane at the beginning of acceleration lane.
