AIM aggregated dataset of normal driving behavior at intersections

Abstract

As part of the Application Platform for Intelligent Mobility (AIM), the traffic situation of an intersection in Braunschweig (Germany) was recorded in order to better understand the behavior of road users. In the project L3pilot, the normal driving behavior at the intersection was analyzed. We focused on kinematic and interaction behaviour of a vehicle (turning left or right, going straight) with oncoming road users (VRU and motorised vehicles) and with lead vehicle. Altogether, 30 days of trajectory data of different months of 2018 and 2019 of the relevant scenarios were analyzed. The datasets include the aggregated parameters in the following scenarios: Scenario L1: left turning following vehicle from West to North interacting with the lead vehicle from West to North. Scenario L2: left turning vehicle from West to North interacting with oncoming vehicle from East to West. Scenario L3: left turning vehicle from West to North interacting with oncoming bicycle. Scenario R1: right turning following vehicle from East to North interacting with the lead vehicle from East to North. Scenario R2: right turning vehicle from East to North interacting with bicycle from East to West. Scenario S: straight driving following vehicle from East to West interacting with the lead vehicle from East to West.