Vehicular traffic flow at a intersection controlled by signal light with a new probability

TL;DR

This paper introduces a probabilistic traffic light model and a modified cellular automata approach to better understand and simulate vehicular flow at intersections, highlighting the impact of interaction and adaptive schemes.

Contribution

It presents a novel probabilistic traffic light model combined with a modified Nagel-Schreckenberg cellular automata for intersection traffic flow simulation.

Findings

Plateau region in fundamental diagrams depends on PL and adaptive schemes.

Interaction effects significantly influence traffic flow patterns.

The model provides insights into traffic management at intersections.

Abstract

We introduced a probability of traffic light, PL, at an intersection when approaching cars in two roads are in same conditions. As a application, we proposed a modified Nagel-Schreckenberg cellular automata model for describing a conflicting vehicular traffic flow at the intersection. The results show that the plateau region in the fundamental diagrams, caused by the effect of interaction, is dependent not only on the probability PL, but also on the adaptive schemes.