Abstract
This paper examines quantitatively the effect of modeling assumptions on transit signal priority (TSP) control in mixed mode operation. The primary sources of delays to buses at intersections are queues formed at intersections (queuing delay) and traffic signals (signal delay). We show that models based on point queues and models based on spatial queues would lead to different control strategies and yield different results for the benefit to buses in terms of delay reduction. Situations in which the spatial content of queues is crucial to modeling TSP systems are identified in the paper. We conclude that given that models with the spatial queue representation are more realistic in capturing the queuing dynamics at intersections they should be incorporated in the decision-making process for initiating priority calls in a TSP system.
Original language | English (US) |
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Pages (from-to) | 3-14 |
Number of pages | 12 |
Journal | International Transactions in Operational Research |
Volume | 14 |
Issue number | 1 |
DOIs | |
State | Published - Jan 2007 |
Keywords
- Queues
- Traffic flow theory
- Transit signal priority control
ASJC Scopus subject areas
- Business and International Management
- Computer Science Applications
- Strategy and Management
- Management Science and Operations Research
- Management of Technology and Innovation