Abstract

This paper comprehensively evaluates the influence of location specific lane change executions on delay and queue length. The extended macroscopic Cell Transmission Model (CTM) based lane change model has been developed by adopting the formulations of diverging and merging in one-way traffic flow. The extended CTM model uses a pre-determined lane change rate and traffic parameters including free flow speed, jam density, cell length and time-step while the inflow parameters were generated form real traffic data collected in Bandar Sunway, Malaysia. The results demonstrate that the lane change maneuver approaching the exit of intersection incurs the highest delay. From real observation, drivers have high tendency to perform mandatory lane changing compared with discretionary lane change in urban arterials. The results can be further used to develop lane change assistance model to improve the traffic flows.

Highlights

  • The World Bank Malaysia Economic Monitor: Transforming Urban Transport report 2015 has revealed a statistic that the economic losses caused by traffic congestion in Kuala Lumpur, urban metropolitan city of Malaysia is approximately RM20 billion per annum or RM 54 million per day [10]

  • This numerical cost figure is collected from the cost of lost productivity while drivers stuck in traffic jam, delay cost of traffic network, cost spent on the fuel consumption, environmental cost due to tailpipe exhaust fume emission, etc. Another statistic conducted by World Bank shows that Kuala Lumpur residents spend 250 million hours per year stuck in traffic gridlock with 29km/h slower travelling speed during morning peak hours [10]

  • Macroscopic traffic simulation based on Cell Transmission Model (CTM) is developed to model lane changing execution of two lane one-way urban arterials

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Summary

Introduction

The World Bank Malaysia Economic Monitor: Transforming Urban Transport report 2015 has revealed a statistic that the economic losses caused by traffic congestion in Kuala Lumpur, urban metropolitan city of Malaysia is approximately RM20 billion per annum or RM 54 million per day [10]. This numerical cost figure is collected from the cost of lost productivity while drivers stuck in traffic jam, delay cost of traffic network, cost spent on the fuel consumption, environmental cost due to tailpipe exhaust fume emission, etc.

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