A review on swarm intelligence and evolutionary algorithms for solving the traffic signal control problem

PW Shaikh, M El-Abd, M Khanafer… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
The rapid development of urban cities coupled with the rise in population has led to an
exponentially growing number of vehicles on the roads for the latter to commute. This is …

Evolutionary computation for intelligent transportation in smart cities: A survey

ZG Chen, ZH Zhan, S Kwong… - IEEE Computational …, 2022 - ieeexplore.ieee.org
As the population in cities continues to increase, large-city problems, including traffic
congestion and environmental pollution, have become increasingly serious. The …

Scheduling eight-phase urban traffic light problems via ensemble meta-heuristics and Q-learning based local search

Z Lin, K Gao, N Wu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This paper addresses urban traffic light scheduling problems (UTLSP) with eight phases.
The objective is to minimize the total vehicle delay time by assigning traffic phases and …

Application of metaheuristics for signal optimisation in transportation networks: A comprehensive survey

S Jalili, S Nallaperuma, E Keedwell, A Dawn… - Swarm and Evolutionary …, 2021 - Elsevier
With rapid population growth, there is an urgent need for intelligent traffic control techniques
in urban transportation networks to improve network performance. In an urban transportation …

An optimization model and traffic light control scheme for heterogeneous traffic systems

Y Zhang, R Su - Transportation research part C: emerging technologies, 2021 - Elsevier
In this paper, one type of heterogeneous traffic network, which consists of signalized
intersections and non-signalized ones, is analyzed and modelled with a macroscopic model …

Novel formulations and improved differential evolution algorithm for optimal lane reservation with task merging

P Wu, L Xu, A D'Ariano, Y Zhao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This paper investigates a new lane reservation problem with task merging that consists of
optimally determining which lanes in a transportation network have to be reserved and …

An effective hybrid-heuristic algorithm for urban traffic light scheduling

CW Tsai, TC Teng, JT Liao, MC Chiang - Neural Computing and …, 2021 - Springer
The traffic light cycle optimization problem (TLCOP) is certainly one of the most critical
problems in a modern traffic management system because a “good solution” will be able to …

Mathematical modeling and a discrete artificial bee colony algorithm for the welding shop scheduling problem

X Li, S Xiao, C Wang, J Yi - Memetic Computing, 2019 - Springer
The welding process which is one of the most important assembly processes is widespread
in the modern manufacturing industry, including aerospace, automotive and engineering …

Modelling and simulation of hierarchical scheduling of real‐time responsive customised bus

S Han, H Fu, J Zhao, J Lin… - IET Intelligent Transport …, 2020 - Wiley Online Library
A real‐time responsive customised bus (RTRCB) provides demand‐oriented and shared‐
ride service for passengers with random travel demands. Unlike other works in the literature …

Differential evolution-driven traffic light scheduling for vehicle-pedestrian mixed-flow networks

S Gupta, W Shu, Y Zhang, R Su - Knowledge-Based Systems, 2023 - Elsevier
This study addresses the bi-objective traffic light scheduling problem (TLSP), which aims to
minimize the network-wise delay time of all vehicles and pedestrians within a predefined …