Abstract

Thesis (PhD(Transport Engineering))--University of South Australia, 2017. Includes bibliographical references (pages 218-230) Traffic congestion, caused by the increased use of automobiles and limited land space, may generate unnecessary time consumption and pollutant emissions from the use of fossil fuels has become a serious social problem. Solving or minimising traffic congestion is a challenging task for traffic engineers and scholars, particularly at intersections with interrupted traffic flow, causing the most congestion having the majority of accidents. This research, therefore, formulated queuing length estimation models with six main parameters based on a conceptual model with three different models formulated in accordance with the role of each approach. Optimal detector locations were selected using the models.