Analysis and Definition of Potential Conflict Situations between Automated Vehicles and Other Road U

Analysis and Definition of Potential Conflict Situations between Automated Vehicles and Other Road Users in Megacities

Alexander Stuckert ¹*, Chenyang Shi², Timo Singer¹, Yandan Lin², Tran Quoc Khanh¹

¹Institute for Light Technology at TU Darmstadt; Darmstadt, Germany

²Institute for Electric Light Sources at Fudan University; Shanghai, P.R.China

*Contact email address: alexander.stuckert@stud.tu-darmstadt.de

Abstract—This article introduces a research that targets to define all road users (RU) and to classify road-crossing strategies of pedestrians in a megacity scenario, like Shanghai. A video-based observation of a signalized T-junction was conducted to define all available road users. On the one hand, this research leads to the distribution of all RU at different times of the day within several weekdays in Shanghai. On the other hand, first crossing strategies of pedestrians were defined to suggest additional light signals for AV, especially in a megacity scenario. Current conflict situations are simplified to analyze and investigate the RU behavior. Therefore, this research covers a real megacity scenario, which is applicable to several other Chinese cities. With this in mind, automotive lighting difference between P.R. China and Germany has been examined to guide additional light signals for AVs. This study includes 14.5 hours of recorded data with total a total number of 29401 RU and their chronological distribution within the day. Additionally, first pedestrians’ crossing strategies for a signalized crosswalk are deduced from the video-based recorded data. Significantly, the pedestrians’ crossing behavior on red pedestrian traffic lights implies a higher level of attention while crossing the road. The observed high level of pedestrian’s attention while crossing the street guarantees a prosperous implementation of additional automotive lighting for communication between pedestrian an AV.

Keywords-pedestrian, automated vehicle, road users, crossing behavior, megacity, automotive lighting