Construction and Simulation of Rear-End Conflicts Recognition Model Based on Improved TTC Algorithm
Construction and Simulation of Rear-End Conflicts Recognition Model Based on Improved TTC Algorithm
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DOI：
10.1109/access.2019.2937898
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发表时间：
2019-08
期刊：
影响因子：
3.9
通讯作者：
Huimin Ge;Ran Xia;Hui Sun;Yousen Yang;Mingyue Huang
中科院分区：
文献类型：
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作者：
Huimin Ge;Ran Xia;Hui Sun;Yousen Yang;Mingyue Huang
为了识别高速公路工作区的追尾冲突。传统的交通冲突测量碰撞时间（TTC）只能识别后车速度高于前车速度的情况下的冲突风险。另外，由于高速公路作业区特殊的路段环境，TTC不能用于识别跟驰过程中的潜在冲突。为了解决这些限制，在TTC的基础上，提出了工作区碰撞时间（WTTC）。考虑高速公路工作区限速的影响，建立了基于WTTC和减速率阈值的追尾冲突识别模型。然后，道路风险（RR）和冲突风险（CR）之间的相关系数被用来确定WTTC的最佳阈值。最后，以合肥绕城高速公路单向封闭工作区为例，对WTTC的识别精度进行了评价。结果表明，与TTC相比，基于WTTC的识别模型准确率提高了30%，能够捕捉到更多高速公路工作区潜在的追尾冲突。因此，该模型可以对高速公路作业区的碰撞风险进行评估，进一步提高路段的安全水平。
In order to identify the rear-end conflicts in the freeway work zone. The traditional traffic conflict measure time to collision (TTC) can only identify the conflict risk in the situation that the speed of the following vehicle is higher than the leading vehicle. In addition, TTC is not applied to identify the potential conflict in the process of car-following due to the special road section environment of the freeway work zone. To address these limitations, time to collision in the work zone (WTTC) is proposed based on TTC. Considering the influence of the limit speed of the freeway work zone, a rear-end conflicts identification model is built based on WTTC and the deceleration rate threshold value. Then, the correlation coefficient between road risk (RR) and conflict risk (CR) is used to determine the optimal threshold of WTTC. Finally, the one-way closed work zone on Hefei Ring Expressway is selected to evaluate the identify accuracy of WTTC. The results show that compared with TTC, the accuracy of the recognition model has increased by 30% based on WTTC, which can capture more potential rear-end conflicts in the freeway work zone. Therefore, the proposed model can evaluate collision risks in the freeway work zone, and further improve the safety level of the road section.