Spatio-Temporal Evolution of Traffic Congestions on Urban Freeways
Publication: International Conference on Transportation Engineering 2009
Abstract
In this paper, a macroscopic approach Cell Transmission Model (CTM) based on traffic wave theory where traffic flow is treated as a one-dimensional compressible fluid with variable characteristics is applied to describe the spatio-temporal evolution of traffic congestions on urban freeways. The evolution is significant to reflect the formulation, continuance and dissipation of queues. This paper improves Cell Transmission Model (CTM) that combines both short-term traffic flow data and occupancy data collected by inductive loops when common congestions or incidents occur. A piecewise linear regression model is performed with a validation of real traffic data collected on freeway of Queen Elizabeth-Ontario, Canada, then simulation results of CTM are quantitatively compared with field data, the results show that CTM can provide a relatively high accuracy of spatio-temporal evolution of traffic congestions.
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Copyright
© 2009 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
ASCE Technical Topics:
- Data collection
- Electric power
- Energy engineering
- Engineering fundamentals
- Flow (fluid dynamics)
- Fluid dynamics
- Fluid flow
- Fluid mechanics
- Highway and road management
- Highway transportation
- Highways and roads
- Hydrologic engineering
- Infrastructure
- Methodology (by type)
- Models (by type)
- Power transmission
- Research methods (by type)
- Traffic congestion
- Traffic engineering
- Traffic flow
- Traffic management
- Traffic models
- Transportation engineering
- Urban and regional development
- Urban areas
- Water and water resources
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