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An Improved Social Force Model Considering
Bicycle Conflicts at Intersection
ZHU Jiasong, CHEN Siyuan
2019, 38(12):
18-25.
DOI: 10.3969/j.issn.1674-0696.2019.12.03
With the rapid increase of the number of “shared bicycles”, under the condition of insufficient bicycle driving space, riders occupy the right of way, forcing pedestrians to slow down, turn and do other evasive behaviors. In the traffic mixed intersection, the conflict between bicycles and pedestrians is particularly serious, which not only increases the traffic time of the intersection, but also reduces the pedestrian safety. In order to optimize the traffic organization of intersections, it is necessary to deeply analyze the complex behavior patterns of pedestrians in the environment of bicycle disturbance, and establish a micro pedestrian model to carry out simulation analysis. However, most of the existing studies are based on the complete bicycle driving environment in western cities and lack of consideration of the pedestrian-vehicle conflict caused by the lack of bicycle planning in China, resulting in inaccurate simulation results. Therefore, based on the social force theory, an improved pedestrian model was proposed, and a pedestrian-bicycle conflict simulation model was established. In addition, in order to overcome the limitation of traditional camera shooting angle, the UAV was used to collect and extract the complete pedestrian trajectory data, and the proposed model was calibrated with the maximum likelihood estimation method. Finally, the original social force model was introduced for comparison, and the accuracy of the proposed model was verified by the real trajectory data of pedestrians. The test results show that: the improved pedestrian model can more truly and reasonably describe the random behavior of pedestrians in the real world, which is of great significance to the study of pedestrian behavior in China and provides theoretical basis for the traffic planning, management and signal control scheme design of intersections.
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