Time Coefficient Estimation for Hourly Origin-Destination Demand from Observed Link Flow Based on Semidynamic Traffic Assignment

Dynamic Origin - Destination Demand Flow Estimation under Congested Traffic Conditions

This paper presents a single-level nonlinear optimization model to estimate dynamic origindestination (OD) demand. A path flow-based optimization model, which incorporates heterogeneous sources of traffic measurements and does not require explicit dynamic link-path incidences, is developed to minimize (i) the deviation between observed and estimated traffic states and (ii) the deviation between...

Traffic Simulation-Based Dynamic Origin-Destination Traffic Demand Estimation for Intelligent Transportation Systems

Intelligent Transportation Systems (ITS) have received a great deal of attention in overcoming traffic-associated problems by implementing online traffic management, which inevitably depends on the accurate dynamic traffic demand. Dynamic Traffic Demand is a fundamental input for simulation-based Dynamic Traffic Assignment (DTA) models to describe and predict traffic conditions on the network o...

Dynamic Origin - Destination Demand Estimation and Prediction for off - Line and on - Line Dynamic Traffic Assignment Operation

Title of Dissertation: DYNAMIC ORIGIN-DESTINATION DEMAND ESTIMATION AND PREDICTION FOR OFF-LINE AND ON-LINE DYNAMIC TRAFFIC ASSIGNMENT OPERATION Xuesong Zhou, Ph.D., 2004 Dissertation Directed By: Professor Hani S. Mahmassani, Department of Civil and Environmental Engineering Time-dependent Origin-Destination (OD) demand information is a fundamental input for Dynamic Traffic Assignment (DTA) mo...

Dynamic Origin-Destination Demand Flow Estimation Utilizing Heterogeneous data sources under Congested Traffic Conditions

Probit-Based Traffic Assignment: A Comparative Study between Link-Based Simulation Algorithm and Path-Based Assignment and Generalization to Random-Coefficient Approach

Probabilistic approach of traffic assignment has been primarily developed to provide a more realistic and flexible theoretical framework to represent traveler’s route choice behavior in a transportation network. The problem of path overlapping in network modelling has been one of the main issues to be tackled. Due to its flexible covariance structure, probit model can adequately address the pro...