Differential evolution-driven traffic light scheduling for vehicle-pedestrian mixed-flow networks-Reference-Cited by-同舟云学术

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

Published:2023-08 Issue: Volume:274 Page:110636
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Gupta Shubham^ORCID,Shu Weihua,Zhang Yi,Su Rong

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference69 articles.

1. Optimization and Scheduling for a Large-Scale Urban Transportation System Involving Human Factor;Zhang,2020

2. Traffic Signal Settings;Webster,1958

3. A survey of urban traffic signal control for agent recommendation system;Chen,2012

4. ’Tansyt’method for area traffic control;Robertson;Traffic Eng. Control,1969

5. Maxband: A versatile program for setting signals on arteries and triangular networks;Little;Transp. Res. Rec.,1981

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1. Adaptive search space for stochastic opposition-based learning in differential evolution;Knowledge-Based Systems;2024-09

2. Directional optimization of elevator scheduling algorithms in complex traffic patterns;Applied Soft Computing;2024-06

3. Problem-Specific Knowledge Based Multi-Objective Meta-Heuristics Combined Q-Learning for Scheduling Urban Traffic Lights With Carbon Emissions;IEEE Transactions on Intelligent Transportation Systems;2024

4. A Simple Yet Effective Eigenvector-Based Crossover Operator in Differential Evolution: Rank-One Update is Sufficient;2024

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