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Introduction of a Simple Estimation Method for Lane-Based Queue Lengths with Lane-changing Movements

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Abstract

Traffic congestions are increased globally due to rapid urbanization and expedited economic developments in many countries. Vehicle queue is a governing aspect of traffic congestion, studied over the past decades. Most of the existing queue estimation approaches are limited to homogeneous traffic conditions. However, the traffic conditions in many develo** countries are heterogeneous and are heavily influenced by mixed vehicle composition, lane changing, and gap-filling behaviours. This study aims to estimate the queue length at signalized intersections having heterogeneous traffic conditions. The heterogeneity was assimilated with the consideration of Passenger Car Units (PCU) in the measurements of the traffic flow and the lane-changing movement within the considered road section. The influential factors of the queue length were contemplated with the arrival flow, discharge flow, outbound lane change, inbound lane change, and signal configuration. A Vector Auto Regression (VAR) model was developed to estimate queue length, with a lag time of 15 s for each variable. The results have indicated a higher accuracy in the queue estimation as well as the practical application for prediction, constituting the traffic characteristics of the formed vehicle queue. The R squared of the VAR model was 0.97, along with a Mean Absolute Percentage Error (MAPE) of 21.55%. The model estimation results of right turning lanes were well accurate with MAPE ranging from 15 to 17%, whilst for through movement lanes, accuracy was slightly low with MAPE in the range of 23–26%. The study manifests the functionality of the developed methodology for accurate queue estimations, asserting the practical applicability of VAR models in other locations constituting mixed traffic.

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Funding

This research was supported by the Accelerating Higher Education Expansion and Development (AHEAD) Operation of the Ministry of Higher Education, Sri Lanka, funded by the World Bank Group, Non-State DOR. 003, Niranga Amarasingha.

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Authors and Affiliations

  1. Department of Civil Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka

    Shenura Jayatilleke & Niranga Amarasingha

  2. Department of Civil Engineering, University of Peradeniya, Peradeniya, Sri Lanka

    Vasantha Wickramasinghe

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  1. Shenura Jayatilleke
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  2. Vasantha Wickramasinghe
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  3. Niranga Amarasingha
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Correspondence to Shenura Jayatilleke.

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Jayatilleke, S., Wickramasinghe, V. & Amarasingha, N. Introduction of a Simple Estimation Method for Lane-Based Queue Lengths with Lane-changing Movements. J. Inst. Eng. India Ser. A 104, 143–153 (2023). https://doi.org/10.1007/s40030-022-00698-2

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  • DOI: https://doi.org/10.1007/s40030-022-00698-2

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