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Reason: Under embargo until September 2020. After this date a copy can be supplied under Section 51(2) of the Australian Copyright Act 1968 by submitting a document delivery request through your library

Development of Stochastic Cell Transmission-based Binary Logistic Lane Change Model for Multilane Highways

thesis
posted on 2019-09-17, 03:04 authored by CHRISTINA NG
This thesis addresses the increasing need for an accurate depiction of traffic states in large scale traffic networks. A potential macroscopic traffic flow model, i.e. the cell transmission model (CTM) that can incorporate a comprehensive lane changing prediction model is successfully developed by accurately estimate and predict real-time traffic states for multilane highways in such a way that the simulation result is a consistent and coherent model with the field data. This improved representation of traffic flow in macroscopic simulation tools, has the potential to support traffic engineering practitioners in making better evaluations of potential traffic control measures or infrastructure adjustments.

History

Campus location

Malaysia

Principal supervisor

Susilawati

Additional supervisor 1

Md Abdus Samad Kamal

Additional supervisor 2

Irene Chew Mei Leng

Year of Award

2019

Department, School or Centre

School of Engineering (Monash University Malaysia)

Course

Doctor of Philosophy

Degree Type

DOCTORATE

Faculty

Faculty of Engineering

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