Dynamic Local Vehicular Flow Optimization Using Real-Time Traffic Conditions at Multiple Road Intersections

Abstract

Dynamic management of vehicular traffic congestion to maximize throughput in urban areas has been drawing increased attention in recent years. For that purpose, a number of adaptive control algorithms have been proposed for individual traffic lights based on the inflow rate. However, little attention has been given to the traffic throughput maximization problem considering real-time road conditions from multiple intersections. In this paper, we formulate such a problem as maximum integer multi-commodity flow by considering incoming vehicles that have different outgoing directions. Then, we propose a novel adaptive traffic light signal control algorithm which opts to maximize traffic flow through and reduce the waiting time of vehicles at an intersection. The proposed algorithm adjusts traffic light signal phases and durations depending on real-time road condition of local and neighboring intersections. Via SUMO simulation, we demonstrate the effectiveness of the proposed algorithm in terms of traffic throughput and average travel time. INDEX TERMS Adaptive traffic light control, k-commodity flow problem, traffic flow maximization, dynamic traffic management.

Efficient Traffic Control System Using Fuzzy Logic with Priority

“…In agreement to the need for effective and efficient traffic control management in urban areas; Jin et al in [18] used SUMO to develop a computational frame work that optimizes traffic flow at two intersections. SUMO was also used by Lee et al in [19] to model a road intersection by employing the idea of directed graph to create a function between the road network and the traffic flow network. The work reported an improvement on the number of vehicles that passes the intersection per unit time.…”

PALM: Platoons Based Adaptive Traffic Light Control System for Mixed Vehicular Traffic

“…Dynamic adjustment of traffic lights has been pursued for improving HV traffic flow in urban setups [7]. Work that focuses on TLCS for HVs can be classified into two categories based on whether a single or multiple intersections are considered in determining the signal timing.…”

“…is the number of all vehicles at segment Seg i sou C , i tgt C in Cyc t , and is define by (7), where dirc ∈ goStraight, turnLef t, turnRight.…”

“…This paper proposed an Platoons Based Adaptive Traffic Light Control System for Mixed Traffic of CAV and HVs. It extends our previous TLCS system [7] designed for HVs to tackle the challenge of mixed traffic flow scenarios. After analyzing the traffic flow at each intersection and their nearby intersections, the phases and signal timing are dynamically adjusted.…”

Recent advances in traffic optimisation: systematic literature review of modern models, methods and algorithms

“…After the evaluation of the strategy, the authors noticed that delay time could be reduced by 13–20%, and the average speed could be increased by 8.5% due to regular traffic management. Paper written by Lee et al [40] presents a novel traffic flow control algorithm (called Atom), which decreases waiting times in traffic flow. The authors simulate traffic lights in a grid network with 13 intersections and later create the following test which simulates the Baltimore (USA) area, which has 137 intersections.…”