Performance Measurements of Transportation Systems Based on Fine-Grained Data Collected by AVI and AVL Systems
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2014-06-30
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Alternative Title:Applications of Transit Signal Priority Technology for Transit Service;Volume-1-: Applications of Transit Signal Priority Technology for Transit Service;
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TRIS Online Accession Number:1644641
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Edition:Final Report
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Abstract:Transit Signal Priority (TSP) is a system that provides signal priority to TSP-equipped transit vehicles through signalized intersections. To understand the benefits of TSP to the transit rider, it is necessary to evaluate through data analysis and micro-simulation how TSP affects travel time and to determine if TSP causes any other changes in different traffic conditions for both buses and other vehicles. Utilizing TSP can reduce delays, and therefore travel time, for the buses while minimizing impacts on traffic signal operations and other traffic. A reduction in bus delay and travel times will increase the attractiveness of the bus transit compared to other modes of transportation and can reduce the number of single occupant vehicles on the nation’s roadways. This can reduce greenhouse gas emissions and help create a sustainable component of the transportation system. This research collected real world bus data and developed microsimulation models to study the effects of TSP on bus operation and the signalized intersections within the study corridor. The results showed that, under certain scenarios, TSP was effective in reducing bus travel times, reducing overall bus delay, and improving schedule adherence while minimizing the impact to the side street operations. Additionally, the micro-simulation found that the average number of stops in the corridor was reduced for all vehicles, which can reduce the chance of vehicle to vehicle crashes. Environmental models were also developed to determine the environmental effects of three different real world TSP scenarios: TSP system turned off (No TSP); TSP system turned on unconditionally (Unconditional TSP); and TSP system turned on only under certain conditions of bus behind schedule (Conditional TSP 3 and 5 minutes behind). Information from the microsimulation models was used to determine average queue lengths and the resulting vehicle emission models. These emission models showed that TSP reduced most emissions for both the Unconditional and Conditional scenarios.
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