Abstract
This work designs a two-level strategy at signalized intersections for preventing incident-based urban traffic congestion by adopting additional traffic warning lights. The first-level one is a ban signal strategy that is used to stop the traffic flow driving toward some directions, and the second-level one is a warning signal strategy that gives traffic flow a recommendation of not driving to some directions. As a visual and mathematical formalism for modeling discrete-event dynamic systems, timed Petri nets are utilized to describe the cooperation between traffic lights and warning lights, and then verify their correctness. A two-way rectangular grid network is modeled via a cell transmission model. The effectiveness of the proposed two-level strategy is evaluated through simulations in the grid network. The results reveal the influences of some major parameters, such as the route-changing rates of vehicles, operation time interval of the proposed strategy, and traffic density of the traffic network on a congestion dissipation process. The results can be used to improve the state of the art in preventing urban road traffic congestion caused by incidents.
Original language | English (US) |
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Article number | 7802596 |
Pages (from-to) | 13-24 |
Number of pages | 12 |
Journal | IEEE Transactions on Intelligent Transportation Systems |
Volume | 19 |
Issue number | 1 |
DOIs | |
State | Published - Jan 2018 |
All Science Journal Classification (ASJC) codes
- Automotive Engineering
- Mechanical Engineering
- Computer Science Applications
Keywords
- Timed Petri net (TPN)
- cell transmission model (CTM)
- congestion formation and dissipation
- discrete event system
- emergency strategy
- traffic incident
- traffic light control