Evaluation of Traffic Assignment Models through Simulation

Analytical Dynamic Traffic Assignment Models

The rapid development of intelligent transportation system technologies and the policy emphasis on their deployment have increased the importance of predictive dynamic network flow models, especially so-called dynamic network loading and dynamic traffic assignment models. In this chapter we provide a critical review of analytic models used in predicting time-varying urban network flows. Specifi...

On Calibration and Application of Logit-Based Stochastic Traffic Assignment Models

There is a growing recognition that discrete choice models are capable of providing a more realistic picture of route choice behavior. In particular, influential factors other than travel time that are found to affect the choice of route trigger the application of random utility models in the route choice literature. This paper focuses on path-based, logit-type stochastic route choice models, i...

Network Traffic Simulation and Assignment: Supercomputer Applications

Demand Simulation for Dynamic Traffic Assignment

This paper presents a pre-trip demand simulator with predictive capabilities and an explicit simulation of the response of travelers to real-time pretrip information. The demand simulator is an extension of dynamic OD estimation models aimed at explicitly capturing the effect of information on demand. This is achieved by explicitly simulating driver behavior in response to both descriptive and ...

Calibration of Dynamic Traffic Assignment Models

Accurate calibration of demand and supply simulators within a Dynamic Traffic Assignment (DTA) system is critical for the provision of consistent travel information and efficient traffic management. Emerging traffic surveillance devices such as Automatic Vehicle Identification (AVI) technology provide a rich source of disaggregate traffic data. This thesis presents a methodology for calibration...