Macroscopic and Microscopic Analysis of Chinese Typical Driving Behavior from UAV View

Abstract

For improving the performance of ADAS and AD system in China, the driving behavior of Chinese drivers is being increasingly focused. The purpose of this study is to investigate the macroscopic and microscopic characteristics of typical Chinese driving behavior, by using UAV to capture and extract them. Traffic flow rate, traffic density, velocity, acceleration and offset from the lane center were acquired and their influence by the vehicle types and lane types studied. Minimum TTC and THW during lane changing and car following and their influence by following types and lane types were also studied. Results showed that the Chinese traffic state was more stable than in Germany, however, with more aggressive behavior, compared to HighD. The entire velocity was small due to strict speed regulation in China. Different characteristics were found for different vehicle types, following types and lanes. Car and car-car following showed more dangerous potential. Cars tended to drive left and trucks tended to right of the lane center. Conclusions can be made that Chinese driving behavior is largely different from German driving behavior. These driver characteristics in China provided data support for the training of an AI-based decision algorithm, development from a localized system and design of roads.