Abstract
In order to deeply analyze and describe the characteristics of car-following behaviour of turning vehicles at intersections, the features and application conditions of classic car-following models were analyzed firstly. And then, through analysing the relationship between the maximum velocity of car-following vehicles and the turning radius of intersection, the differences in key variables between turning and straight car-following behaviour were identified. On the basis of Optimal Velocity (OV) model, a Turning Optimal Velocity (TOV) car-following model with consideration of turning radius and sideway force coefficient at intersections was developed. PreScan simulation was employed to build the scene of turning car-following process at an intersection. Based on linear stability analysis, the stability conditions of the TOV model were derived. And it was found that (1) the turning radius has a significant effect on the car-following behaviour of turning vehicles at intersections; (2) with the increase of the distance between vehicles, the driver’s response sensitivity coefficient increases and then decreases and reaches the maximum value when the distance reaches the minimum safe distance; (3) with the increase of turning radius, the stability of the car-following fleet tends to decrease, and it is more likely to become a stop-and-go traffic flow. In addition, the numerical simulation results indicate that the TOV model can describe the car-following behaviour of turning vehicles more accurately with consideration of turning radius. The findings of this study can be used in the development of microscopic traffic simulation software and for improving traffic safety at intersections.
Highlights
With the rapid development of economy and the acceleration of urbanization, traffic pollution, traffic congestion, and other related problems have become social hotspots [1,2,3,4]
Car-following models are important components of microscopic traffic simulation, which can present the behaviour of a vehicle when it is following the vehicle in front [8, 9]
A new car-following model was established to address the effect of the optimal velocity changes with memory
Summary
With the rapid development of economy and the acceleration of urbanization, traffic pollution, traffic congestion, and other related problems have become social hotspots [1,2,3,4]. Considering vehicle spacing, speed of the lead vehicle and driver’s sensitivity, an improved car-following model was established based on the Generation Simulation (NGSIM) dataset. A new car-following model was established to address the effect of the optimal velocity changes with memory Both linear stability and nonlinear analyses were performed. It was found that the stability of the traffic flow could be enhanced by considering the influence of memory on the optimal velocity of car-following behaviour [23]. Yang proposed an improved optimal velocity function, considering the effect of the space headway and the influence of the relative velocity between the leading and following vehicles [26]. An improved optimized speed model was proposed by adding the velocity of the leading vehicle into the OV model. The turning radius of intersection and sideway lateral force coefficient will be introduced into the OV model, and a Turning Optimal Velocity (TOV) carfollowing model at intersections will be proposed. e linear stability analysis and numerical simulation experiments will be carried out to verify the validity of the proposed model
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