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Mitigating the Impact of Light Rail on Urban Traffic Networks using Mixed Integer Linear Programming
2020
IET Intelligent Transport Systems
As urban traffic congestion is on the increase worldwide, many cities are increasingly looking to inexpensive public transit options such as light rail that operate at street-level and require coordination with conventional traffic networks and signal control. A major concern in light rail installation is whether enough commuters will switch to it to offset the additional constraints it places on traffic signal control and the resulting decrease in conventional vehicle traffic capacity. In this
doi:10.1049/iet-its.2019.0277
fatcat:vvz2x3eypje35flew6stzedlxu