Research on signalized intersection control methods that contribute to both improved legal compliance and smoothness for left-turning vehicles

2023 Fiscal Year Final Research Report

• Project/Area Number: 22K14335
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 22050:Civil engineering plan and transportation engineering-related
• Research Institution: Nagoya University
• Principal Investigator: Zhang Xin 名古屋大学, 環境学研究科, 講師 (60825115)
• Project Period (FY): 2022-04-01 – 2024-03-31
• Keywords: 信号制御 / 譲り挙動 / 交通容量

Outline of Final Research Achievements

Japan's Road Traffic Act requires that vehicles must yield to approaching pedestrians when crossing a pedestrian crosswalk, but vehicles often cross in front of pedestrians, affecting the efficiency of intersections. Therefore, in this study, we clarified the yielding behavior characteristics of left turning vehicles to pedestrians, taking into account pedestrian traffic volume, crosswalk geometric geometry, and signal phases, and developed a yielding behavior model for left-turning vehicles. A Monte Carlo simulation is conducted based on this yielding behavior model to clarify the differences in traffic capacity of left-turn lanes depending on compliance, and proposed an improvement to the current traffic capacity estimation method that can respond to these changes. Furthermore, a method for selecting a rational signal control method was proposed that considers both pedestrian safety and smooth traffic flow of vehicles.

Free Research Field

交通工学

Academic Significance and Societal Importance of the Research Achievements

本研究では、さまざまな幾何構造や信号現示や交通状況を持つ交差点において実態調査を行い、法令を遵守している・遵守していない左折車の挙動を分析したうえで、横断歩道付近における車両の状況による遵守判断挙動が幾何構造や交通状況との関係を明らかにし、これらの関係をモデル化した。信号交差点での車両の法令遵守状況に着目して左折車線の交通容量の推定方法の改善も提案した。さらに、信号交差点の幾何構造や交通条件に応じた合理的な幾何構造と信号現示方式を提案することで、信号交差点を計画する段階や改良検討を行う時に、実務上に制御方式の選定に重要な参考資料となるものである。