Abstract
Capacity drop is a common phenomenon that typically occurs at the downstream of freeway congestion area, which decreases traffic operation efficiency significantly. It can be avoided by some traffic control measures such as ramp metering. In this paper, a generic first-order traffic flow model is proposed, to reproduce the capacity drop at both on-ramp bottleneck and lane drop bottleneck. Based on this model, a linear quadratic model predictive control strategy for the integration of dynamic route guidance and ramp metering is presented. The objective is to minimize the total time spend of a traffic network. Due to the linearity of the optimization problem, the problem can be solved efficiently, which makes the problem suitable for real-time traffic control. A hypothetical traffic network containing both on-ramp bottleneck and lane drop bottleneck is utilized as a test bed, to demonstrate the effectiveness of the proposed control strategy.
Original language | English |
---|---|
Title of host publication | IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC |
Publisher | IEEE |
Pages | 1150-1155 |
Number of pages | 6 |
Volume | 2015-October |
ISBN (Print) | 978-1-4673-6595-6 |
DOIs | |
Publication status | Published - 30 Oct 2015 |
Event | 18th international conference on intelligent transportation systems, ITSC 2015, Las Palmas, Spain - Piscataway, Gran Canaria, Spain Duration: 15 Sept 2015 → 18 Sept 2015 Conference number: 18 |
Conference
Conference | 18th international conference on intelligent transportation systems, ITSC 2015, Las Palmas, Spain |
---|---|
Abbreviated title | ITSC 2015 |
Country/Territory | Spain |
City | Gran Canaria |
Period | 15/09/15 → 18/09/15 |
Keywords
- Capacity drop
- First-order model
- Model predictive control
- Ramp metering
- Route guidance