A COMPOSITIONAL APPROACH FOR TRAFFIC DISTRIBUTION EVALUATION OF TRIPLE LEFT-TURN LANES FROM AN INDIVIDUAL PERSPECTIVE-Reference-Cited by-同舟云学术

A COMPOSITIONAL APPROACH FOR TRAFFIC DISTRIBUTION EVALUATION OF TRIPLE LEFT-TURN LANES FROM AN INDIVIDUAL PERSPECTIVE

Published:2021-05-04 Issue:2 Volume:36 Page:110-122
ISSN:1648-4142
Container-title:Transport
language:
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Author:

Li Li¹,Zhang Dong²,Cheng Xiao-Yun³,Wang Ping⁴,Wang Gui-Ping⁴

Affiliation:

1. School of Electronics and Control Engineering, Chang’an University, China; National Engineering Laboratory for Surface Transportation Weather Impacts Prevention, Broadvision Engineering Consultants, Kunming, Yunnan, China

2. School of Transportation and Logistics, Dalian University of Technology, China

3. School of Transportation Engineering, Chang’an University, China

4. School of Electronics and Control Engineering, Chang’an University, China

Abstract

This study analysed unbalanced traffic distribution on Triple Left-Turn Lanes (TLTLs) at signalized intersections that is caused by left-turn drivers’ unequal lane preferences. To develop statistical bonding between the multilane traffic flow and individual lane choices, the lane volumes are formatted as compositional data to subject the sum-constant constraint. One-way and two-way Compositional ANalysis Of VAriance (CANOVA) models were formulated respectively to estimate the independent effect of one factor and its joint effects with other factors on the multilane traffic distribution. TLTL volume composition was the dependent variable of the models, while the factors of geometric design and traffic control that could affect left-turn drivers’ lane choice were the independent variables. Results indicate that variance of vehicle turning curve, length of the upstream segment, the location of triple left-turn sign, signal phase / cycle length, could affect the traffic distribution, and its balance could be achieved at specific levels of a factor. The joint effects of some factor couples could improve the unbalanced traffic distribution while others could not work.

Publisher

Vilnius Gediminas Technical University

Subject

Mechanical Engineering,Automotive Engineering

Reference24 articles.

1. The Statistical Analysis of Compositional Data

2. The effectiveness of applying dynamic lane assignment at all approaches of signalized intersection

3. Real-Time Estimation of Saturation flow Rates for Dynamic Traffic Signal Control using Connected-Vehicle Data

4. Saturation Flow Rate Analysis for Shared Left-turn Lane at ignalized Intersections in Japan

5. Driver responses to green and red vehicular signal countdown displays: Safety and efficiency aspects