Estimation of conflicting traffic volume using spatiotemporal factor

Author:

Khan Tathagatha1,Mohapatra Smruti Sourava2,Dey Partha Pratim3

Affiliation:

1. Research Scholar, Department of Civil Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, India

2. Assistant Professor, Department of Civil Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, India (corresponding author: )

3. Assistant Professor, School of Infrastructure, Indian Institute of Technology, Bhubaneswar, India

Abstract

The conflicting traffic volume (CTV) is one of the crucial parameters for the estimation of U-turn capacity at a mid-block median opening (MBMO). Therefore, in this work, CTVs at MBMOs were estimated. A simple yet practical methodology was developed and a parameter called the spatiotemporal conflict factor was introduced. In order to estimate the spatial conflict factor, the entire carriageway width was divided into two zones – the spatial conflict zone and the spatial no-conflict zone. Spatial conflict factors were estimated by studying the placement characteristics of approaching through traffic and U-turning traffic. Subsequently, temporal conflict factors were estimated based on the no-conflict time gap and possible slowdown sections. The spatiotemporal conflict factors and the resulting CTVs were then calculated for MBMOs in six-lane and four-lane roads. The tangible outcome of this investigation is the ability to estimate the realistic capacity values of median openings, which will be beneficial for traffic planners in the efficient management of traffic for improved levels of service and safety.

Publisher

Thomas Telford Ltd.

Subject

Transportation,Civil and Structural Engineering

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Editorial;Proceedings of the Institution of Civil Engineers - Transport;2024-06

2. Realistic Approach for Capacity Estimation of U-Turns Under Heterogeneous Traffic Condition;Transportation Research Record: Journal of the Transportation Research Board;2023-11-02

3. Categorization of gaps at mid-block median openings in heterogeneous traffic: adjudging the applicability of support vector machine and occupancy time methods;Transportation Letters;2022-10-15

4. Identification of Spatial and Temporal Dilemma Zone at Mid-Block Median Openings: A Gap Acceptance Based Approach;Transportation Research Record: Journal of the Transportation Research Board;2022-08-25

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