Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/78666
Title: Meta-heuristics for optimizing bi-objective heterogeneous urban traffic network
Authors: Tang, Zhe
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2019
Abstract: Meta heuristic algorithms are often used to solve scheduling problems. In this project we will use the meta heuristic algorithm to solve the scheduling problem of urban traffic signals. The project uses a macro model of the two mixed flow of pedestrian and vehicle to analyze the delay of pedestrians and vehicles in the traffic network. The objective is to reduce the overall waiting time for vehicles and pedestrians. And a search operator is used to improve the performance of the meta-heuristics. Performance evaluation includes waiting time and computing time. The parameters involved in the related algorithms will be enumerated. A detailed comparison process will also be given.
URI: http://hdl.handle.net/10356/78666
Schools: School of Electrical and Electronic Engineering 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

Files in This Item:
File Description SizeFormat 
Final Dissertation Report-TangZhe.pdf
  Restricted Access
1.38 MBAdobe PDFView/Open

Page view(s)

201
Updated on Jun 24, 2024

Download(s)

7
Updated on Jun 24, 2024

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.