1-4.2: Transit Priority Phase II: Network Control in Realistic Settings with Heterogeneous Vehicles
|Principal Investigator||Xiaopeng Li, Ph.D.|
|Final Report (DOI)||Available Soon|
|Policy Brief||Available Soon|
The research will develop simple but effective schemes to: (i) coordinate all traffic signals residing on most any two-dimensional (e.g. grid) street network; and (ii) optimize signal settings and tailor preferential treatments to 3buses, ambulances and other specially-designated vehicles. Strategies will be developed for under-and over-saturated traffic conditions. Algorithms will be formulated so that signal control can toggle between both strategies over the course of a day, as needed. Objectives will be achieved by extending and blending two NICR-funded research efforts performed in the previous year: one at the University of South Florida, the other at UC Berkeley. The present work will ready UC Berkeley’s signal coordination strategies to accommodate the sorts of complexities that occur on real-world (non-idealized) street networks. We will also expand the schemes developed at USF to offer signal priority to buses in targeted ways, to emergency vehicles in unconditional ways, and to do so at any of the numerous traffic signals that may reside on a network. The USF and Berkeley thrusts will be blended together so that priority treatments for special vehicles can coexist almost seamlessly with network-wide signal coordination for regular vehicles. The work is expected to reduce: city-street traffic congestion; vehicle-and passenger-hours traveled on a network; and emergency response times.
Project deliverables will include: a final report; journal publications; and algorithms that enable deployment of research findings in real settings.We will work with stakeholders includingCity of Key Westandthe Pinellas Suncoast Transit Authority(PSTA)on transit priority and enabling technologies (e.g., connected and automated vehicles). We will collaborate to construct a small-scale (e.g., a corridor) case study with real world data. The case study results will be presented to the stakeholders, to show the advantages of our proposed transit priority strategiesand the corresponding technology specifications.