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Safety Evaluation of Car-Following Behavior
Based on NGSIM Micro Trajectory Data
CHEN Jingxu1, CHENG Wenyu1, WAN Jian2, WANG Yiran1
2022, 41(01):
1-6.
DOI: 10.3969/j.issn.1674-0696.2022.01.01
Car-following behavior is one of the most fundamental behaviors in micro traffic flow. The NGSIM trajectory data was employed to analyze the micro characteristics of the car-following behavior, and the influencing factors and causes of car-following behavior from safe state to dangerous state were analyzed. Time to collision (TTC) was selected as the safety index. The number of TTCs in different states was used as the dependent variable, and the micro characteristics such as speed, acceleration, and acceleration difference were used as independent variables, and four thresholds were set for regression analysis. Results show that the biggest factor affecting the following behavior from safe state to dangerous state is the speed difference between the front and rear vehicles, followed by the distance between the front and rear vehicles. However, when there are a large number of following behaviors, the distance between the front and rear vehicles has a greater impact, and the micro characteristics of the rear vehicle have more impact on this than the front vehicle. In order to keep the car-following behavior within a safe state, the speed, acceleration, acceleration difference of the leading cars, and the distance between the leading and following cars should be increased. At the same time, the acceleration, acceleration difference of the following cars, and the speed difference between the leading and following cars should be reduced. Considering the continuity of traffic flow, on the whole, the speed difference between the leading and following cars should be narrowed, sudden acceleration fluctuations should be avoided, and more attentions should be paid to maintain the proper distance between the leading and following cars and strengthen the control of the following cars.
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