Evaluating Macroscopic DTA Models – For Who, When and How?

Over the past few decades, transport authorities globally have resorted to transport models for testing policy interventions and simulating the results as part of the ex-ante analysis. Within the domains of traffic assignment, there is a greater focus on the dynamic representation of traffic, which has proved to be more accurate when compared to...

Route Set Generation for Quick Scan Applications of Dynamic Traffic Assignment

Recent years have shown an interest in developing and using quick-scan<br/>analysis tools for the evaluation of policy options, such as planning issues,<br/>investments in infrastructure or public transport or other measures to cope with the increasing mobility problem. These tools can give a quick and easy insight into the impacts of all kinds...

Dynamic traffic assignment model for inland waterway freight transport

Due to the rapid increase of global trade and deepening integration within the European Union (EU), freight transport across the EU has had relatively fast growth. However, constraints of transport infrastructure, interoperability and governance issues do slow down the developments of freight transport. There is a need for transport planning...

Online Anticipatory Network Management: The dynamic steering of route choice behaviour with traffic control and traffic information

In order to improve the usage efficiency of the road network, this research investigates and proposes an approach for a traffic management solution called Online Anticipatory Network Management. The proposed traffic management solution aims to redistribute traffic flows and to increase network performance by determining and applying traffic...

Real Time Traffic Models, Decision Support for Traffic Management

Reliable and accurate short-term traffic state prediction can improve the performance of real-time traffic management systems significantly. Using this short-time prediction based on current measurements delivered by advanced surveillance systems will support decision-making processes on various control strategies and enhance the performance of...

Real time traffic models, decision support for traffic management

Reliable and accurate short-term traffic state prediction can improve the performance of real-time traffic management systems significantly. Using this short-time prediction based on current measurements delivered by advanced surveillance systems will support decision-making processes on various control strategies and enhance the performance of...

Forecasting door-to-door travel time variability caused by incidents

Reliability of travel times is an important indicator of the performance of a traffic system. The congestion caused by incidents is an important cause of the unreliability of travel times. Travel time reliability should be incorporated in social cost benefit analyses for infrastructure investments. With an accurate forecast of travel time...

Efficient particle-based estimation of marginal costs in a first-order macroscopic traffic flow model

Marginal costs in traffic networks are the extra costs incurred to the system as the result of extra traffic. Marginal costs are required frequently e.g. when considering system optimal traffic assignment or tolling problems. When explicitly considering spillback in a traffic flow model, one can use a numerical derivative or resort to heuristics...

Integrated anticipatory control of road networks: A game-theoretical approach

In The Netherlands, dynamic traffic management is an important approach to minimise the negative effects of increasing congestion. Measures such as ramp metering and route infor-mation, but also conventional traffic signal control, are used for this. Traditionally, the focus in designing traffic control plans has been on local control. There is...

Robustness Analysis of Road Networks: A Framework with Combined DTA Models

Network robustness is the ability of a road network functioning properly facing unpredictable and exceptional incidents. A systematical framework with combined dynamic traffic assignment (DTA) models is designed for the analysis of road network robustness. With this framework, network performance considering travelers' (route) choice behavior...