Prioritization of urban public transport on streets with high pedestrian volumes

Author:

Royko Yurii,Bura Romana,Hrytsun Oleh,Yevchuk Yurii

Abstract

The paper investigates the improvement of methods of time-based prioritization of public transport buses on city routes, taking into account pedestrian traffic indicators. A method of non-stop passing the stop-lines at signalized intersections and pedestrian crosswalks by buses in places of high generation of pedestrian traffic has been developed. A study was conducted at three signalized intersections and pedestrian crosswalks in Lviv city in places of high generation of pedestrian flows with dedicated lanes for public transport. Pedestrian speed of movement while crossing the roadway in such locations was studied, and the value of the speed of movement of 15% of the pedestrian flow, which potentially will not have time to cross the roadway during the time of the activated permissive signal, was found. The time parameters of extending the restrictive signal for traffic flows for the safe and unobstructed passage of pedestrian flows at the traffic light object are defined. The distance at which public transport should be located from the signalized facility to extend the restrictive signal to public transport, is also determined.

Publisher

EDP Sciences

Reference17 articles.

1. Exploring the Paradigm Shifts Needed To Reconcile Transportation and Sustainability Objectives

2. Bezuglyy A., Vyrozhemckyy V., Voloshyna I., Holovko S., Lytvynenko A., Nahaichuk V., … Khrystiuk M. (2018). DBN V. 2.3-5: 2018 Vulytsi ta dorogy naselenykh punktiv.

3. Sustainable urban transport project. https://sutp.org/

4. Shen W., Zou L., Deng R., Wu H., & Wu J. (2023). A Bus Signal Priority Control Method Based on Deep Reinforcement Learning. Applied Sciences, 13(11).

5. Leading Through Intervals versus Leading Pedestrian Intervals: More Protection with Less Capacity Impact

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