A traffic model is a mathematical model of real-world traffic, usually, but not restricted to, road traffic. Traffic modeling draws heavily on theoretical foundations like network theory and certain theories from physics like the kinematic wave model. The interesting quantity being modeled and measured is the traffic flow, i.e. the throughput of mobile units (e.g. vehicles) per time and transportation medium capacity (e.g. road or lane width). Models can teach researchers and engineers how to ensure an optimal flow with a minimum number of traffic jams. Traffic models often are the basis of a traffic simulation.
Types Microscopic traffic flow model Traffic flow is assumed to depend on individual mobile units, i.e. cars, which are explicitly modeled Mesoscopic traffic flow model Includes some elements of individual vehicle interaction through simulation, but simplified compared to Microscopic models (microsim). Geographic coverage is usually in-between that of Macro and Micro Macroscopic traffic flow model Only the mass action or the statistical properties of a large number of units is analyzed
Examples Biham–Middleton–Levine traffic model Traffic generation model History of network traffic models Traffic mix Intelligent driver model Network traffic Three-phase traffic theory Two-fluid model
See also Braess's paradox Gridlock Mobility model Network traffic Network traffic simulation Traffic bottleneck Traffic flow Traffic wave Queueing theory Traffic equations Urban traffic modeling and analysis
References
External links http://math.mit.edu/projects/traffic/ Takashi Nagatani (2002). "The physics of traffic jams". Rep. Prog. Phys. 65 (9). INSTITUTE OF PHYSICS PUBLISHING: 1331–1386. Bibcode:2002RPPh...65.1331N. CiteSeerX 10.1.1.205.6595. doi:10.1088/0034-4885/65/9/203. {{cite journal}}: Cite uses deprecated parameter |citeseerx= (help) "The Physics of Gridlock". The Atlantic. December 2000.
