01628123

Component

This paper develops a Multi-modal HierArchically Responsive Signal control model called MARS for trajectory-based signal control, by assuming that high penetration of floating sensors (e.g. Connected Vehicles, Smartphones, etc.) is available. First, this study conducts a comprehensive survey with traffic signal professionals, who bring up existing state-of-practice, open issues and future challenges in multi-modal traffic signal control. This survey also identifies the issues of current weight-based modeling for multi-modal control. It is found that assigning weights cannot be tied with delay of each mode in a straight forward manner. Second, by using multi-modal trajectory data, this paper develops a hierarchically multi-modal signal control model, in which each travel mode is solved by a dynamic programming hierarchically with the consideration of the delay and budget from upper-level modes. Further, the proposed control model is evaluated by microscopic simulation tool VISSIM at an isolated intersection, including three competing travel modes: light rail, buses and passenger cars (with trucks).

This paper was sponsored by TRB committee AHB25 Standing Committee on Traffic Signal Systems. Alternate title: Multimodal Hierarchically Responsive Signal Control with Lexicographical Dynamic Programming Approach.

01618707

17-01779

English

21p

2017

Transportation Research Board 96th Annual Meeting

Digital/other

Figures; References; Tables

Dynamic programming; Optimization; Signalization; Vehicle trajectories

Highways; Operations and Traffic Management

Transportation Research Board Annual Meeting 2017 Paper #17-01779

TRIS, TRB, ATRI

Dec 8 2016 10:37AM