Abstract
In this paper, we propose an improved cellular automaton model for the traffic operation characteristics of variable direction lanes in an Intelligent Vehicle Infrastructure Cooperation System (I-VICS). According to the proposed flow of variable oriented lane operation in the I-VICS environment, the idea for the improved model has been determined. According to an analysis of different signal states, an improved STCA model is proposed, in combination with the speed induction method of I-VICS and the variable direction lane switching strategy. In the assumed regular simulation environment, the STCA and STCA-V models are simulated under different vehicular densities. The results indicated that traffic parameters such as traffic flow and average speed of the variable direction lanes in the I-VICS environment are better than those in the conventional environment according to the operating rules of the proposed model. Moreover, lane utilization increased for the same density.
Highlights
Variable direction lanes have become a frequent and innovative management tool used by traffic managers to address the congestion problems caused by the tide of turning traffic in China
This is because the symmetric two-lane CA (STCA) model is a passive lane-changing, and it is difficult for the vehicles to obtain the required safe lane-changing conditions under high density, resulting in frequent vehicle start-stop phenomenon manifested by the blocking phase appearing more frequently and lasting longer
The light-color cycling strategy is proposed to simulate the phenomenon of traffic flow at intersections in gathering and dissipating waves, and mathematically describe the vehicle queuing and dissipating phenomena based on a cellular automaton model
Summary
Many researchers have published predictive studies concerning the impact of I-VICS technology on road safety problems, traffic congestion, and traffic flow. Some research centers have already published studies showing that the use of connected car technology and autonomous driving would significantly reduce the number of accidents caused by driver error and reduce traffic congestion [7]. Regarding the characteristics of turning traffic flow and the corresponding driver’s lane change behavior in the I-VICS environment, there are gaps in the above studies. An improved CA model and its motion update rules are proposed, that combine the characteristics of I-VICS technology and variable guided lane control strategies. It will establish the theoretical basis for later analysis of traffic flow characterization.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
