DYNAMIC TRAFFIC ASSIGNMENT AND ORIGIN-DESTINATION PATTERNS

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 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...

Literature Review of Traffic Assignment: Static and Dynamic

Rapid urban growth is resulting into increase in travel demand and private vehicle ownership in urban areas. In the present scenario the existing infrastructure has failed to match the demand that leads to traffic congestion, vehicular pollution and accidents. With traffic congestion augmentation on the road, delay of commuters has increased and reliability of road network has decreased. Four s...

Dynamic Estimation of Origin-destination Patterns in Freeways

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...