Abstract
The signal control system for multi-intersection traffic management is an extensive complex nonlinear and non-equilibrium system and usually leads to a weak control strategy. Existing studies of traffic dynamics mainly focus on the applications to the single network, whereas how the structure of multiple intersections affects the dynamical behaviors is unclear. Connected vehicles in recent studies have shown the potential to eliminate traffic communication barriers and balance the traffic load. For this consideration, we propose a new multi-intersection model based on Vehicle-to-Everything (V2X) network to capture the features of traffic flow, which employs vehicular communication to obtain real-time traffic information and share it among the adjacent intersections. Focus on smoothing traffic flow without stop-and-go driving and improving the coordination of multiple traffic lights, we develop a multi-intersection coordination algorithm based on V2X (MICA-V for short) to maximize the green waveband in the arterial road. Due to the establishment of registration list yielding the average saturated headway time, our method is of high efficiency—the distributed process of data makes the convergence to be very fast with nearly linear time. Simulation results via MATLAB with Simulation of Urban Mobility (SUMO) showed the effectiveness of the proposed MICA-V in improving traffic capacity, reducing the number of stop behaviors, and improve the average speed of vehicles moving on the arterial road.
Highlights
With the boost population living in metropolitan areas due to industrialization and immigration, an increase in the number of vehicles hinders the urban traffic and causes severe issues to the economy, to the living climate, and to the human being.one of the main problems related to urbanization is the traffic congestion in the Traffic Management System (TMS), since this bottleneck results in disorganization in traffic flow and wasted time
One of the main problems related to urbanization is the traffic congestion in the Traffic Management System (TMS), since this bottleneck results in disorganization in traffic flow and wasted time
As the model is based on the one-way multi-intersection scenario, we focus on calculating an effective signal timing plan of WE5-WE0 to realize the green wave concept for the arterial road
Summary
With the boost population living in metropolitan areas due to industrialization and immigration, an increase in the number of vehicles hinders the urban traffic and causes severe issues to the economy (e.g., waste of infrastructure costs due to traffic congestion), to the living climate (increase in pollution due to more fuel consumption), and to the human being (e.g., physiological stress due to more delay time wasted). Y. Shi et al.: Coordination Algorithm for Signalized Multi-Intersection to Maximize Green Wave Band variable traffic loads scenarios. The existing TMS becomes a complex network structure that consists of many interconnected devices and different traffic data, it seems that such road participants are insufficient on network scalability, intersection management, multi-standard data fusion, and efficient green waveband usage. An isolated intersection (only one) management is far from meeting the requirements of large-scale and high-efficiency traffic Motivated by these challenges, in this article, we develop a new multi-intersection framework based on V2X, which can gather and exchange fine-grain/real-time data instantaneously using wireless communication technology. In detail, based on the dynamical optimization of average headway using in the system, the proposed coordination algorithm (MICA-V) realizes the closed-loop control of signaling time and coordinates multiple intersections into a whole system.
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