Car-following Behavior of Passenger Cars on River Crossing Bridge Based on Naturalistic Driving Data

In order to clarify the car-following characteristics and driving patterns of the river crossing bridge, the field driving test of 30 drivers was carried out in Chongqing Caiyuanba bridge. The attitude measurement system and Mobileye 630 were used to collect the continuous driving speed, headway and space headway under the natural driving state.This paper obtained 725 effective car-following trajectory data through data screening, through comparative analysis and found that there are certain differences in the car-following behavior of the cross-river bridge and the general road in the city. Identified the distribution characteristics of the time headway and the space headway of the Caiyuanba Bridge, and analyzed the car-following data of different driver genders and three car-following states. The three car-following states refer to strong car-following (less than 1.6 s), transitional interval (between 1.6-2.6 s), and weak car-following (greater than 2.6 s). The results show that the distribution of the time headway of the bridge section is concentrated at 1.6 s, and the distribution of space headway is concentrated at 18 m. More than one-third of the car-following trajectories are in a strong car-following state. In this state, the driving behavior of the preceding vehicle is more mandatory for the car-following vehicle. When the vehicle is in a weak car following state, the restraint of the preceding car on the following car will rapidly decrease as the time headway increases. The establishment of the transition zone reveals that there is not only a critical value between the strong and weak car-following states, but there is a transition process, and The driver's own operating behavior will affect the change of the car following state. Driver gender have almost no effect on car-following distance, but male drivers tend to be more adventurous. Their average time headway, average space headway, and relative speed are higher than female drivers. © 2022, Editorial Department of China Journal of Highway and Transport. All right reserved.