Abstract
Effective identification of the risk area of the bus bay stop is a prerequisite for the enhancement of traffic safety. This study proposes a method of identifying the risk area based on the distribution of traffic conflicts. Firstly, the traffic flow data of the bus stop is collected by drones and video recognition software, and the traffic flow characteristics of the bus stop are analyzed by the mathematical and statistical methods. Secondly, using the gray clustering evaluation theory, on the basis of the rasterization of the functional area of the bus bay stop, a risk level model based on the index system of conflict rate, conflict severity, and potential conflict risk is proposed. Finally, take a bus stop in Guangzhou as an example to verify the solution. The results show that the constructed model can effectively identify the risk areas of bus bay stops. The risk areas of the bus bay stops are concentrated in the middle and lower reaches of the bus stop, which proves that the impact of bus exiting the stop on the surrounding traffic is greater than the process of bus entering the stop; the traffic risk areas of lanes near the bus stop are concentrated, and the severity of conflicts is low. The traffic risk zone of the lane far away from the bus stop is widely distributed, and the severity of conflict is higher. The research results can provide a basis for the micro safety performance evaluation and safety optimization of bus bay stops, which has strong theoretical and practical significance.
Highlights
With the development of urbanization in China, the pressure of urban traffic is increasing gradually
It can be seen that the traffic conflicts in the functional area of the bus stop are mainly concentrated in the middle and lower reaches of the stop. erefore, it can be concluded that the impact of bus exiting on traffic safety is higher than entering the station. e risk of traffic conflicts is relatively high in the area where the transition section of the bus stop meets the mainline road. e main reason is that, during the exit process, there is a large difference between the speed of the bus and the speed of the vehicles on the main line
When studying the safety performance of bus stops, most scholars have evaluated it as a whole [16], ignoring the differences in risk levels of different lanes within the functional area of the bus stop
Summary
With the development of urbanization in China, the pressure of urban traffic is increasing gradually. As an important clustering technique, has been widely used in many fields such as safety evaluation of civil aircraft [32], hazard assessment of drought disaster [33], waterlogging hazard evaluation [34], and nautical navigational environment risk evaluation [35]. It can consider the influence of multiple factors of the evaluation indicators and accurately reflect the road traffic safety status through a small number of indexes.
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