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...

Travel times in quasi-dynamic traffic assignment

By extending static traffic assignment with explicit capacity constraints, quasi-dynamic traffic assignment yields more realistic results while avoiding many disadvantages of a dynamic assignment. We analyse the computation of travel times in quasi-dynamic assignment models. We formulate and check requirements for the correctness of resulting...

SMART mobility via prediction, optimization and personalization

In this chapter, we present a methodological approach for Smart Mobility that integrates three key features: prediction, optimization, and personalization. They are integrated in such a way that when a travel menu is offered, predicted conditions are considered in the attributes of alternatives and optimized system-level policies are maintained....

Travel times in quasi-dynamic traffic assignment

By extending static traffic assignment with explicit capacity constraints, quasi-dynamic traffic assignment yields more realistic results while avoiding many disadvantages of dynamic assignment. We analyse the computation of travel times in quasi-dynamic assignment models. We formulate requirements for the correctness of resulting travel times,...

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...

Routing strategy including time and carbon dioxide emissions: effects on network performance

Traffic congestion leads to delays and increased carbon dioxide (CO2) emissions. Traffic management measures such as providing information on environmental route costs have been proposed to mitigate congestion. Multi-criteria routing dynamic traffic assignment (MCR-DTA) models are needed to evaluate the effectiveness of such measures. This paper...

Equilibrium models in multimodal container transport systems

Optimizing the performance of multimodal freight transport networks involves adequately balancing the interplay between costs, volumes, times of departure and arrival, and times of travel. In order to study this interplay, we propose an assignment model that is able to efficiently determine flows and costs in a multimodal network. The model is...

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...

Matrix estimation for static traffic assignment models with queuing

A matrix estimation method using the semi dynamic assignment model STAQ is developed exploiting its methodological advantages over full DTA models. The matrix estimation problem is formulated as a bi-level problem and is solved on the node level taking flow metering into account. In the lower level the method uses marginal simulation of the node...

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...

Behavioural Responses and Network Effects of Time-varying Road Pricing

Road pricing is a policy measure under consideration by many goverments and road authorities. Although objectives may be different any road pricing measure will impact the behaviour of travellers and the flow of traffic. In this research we specifically looked at the effects of road pricing measures where the prices are differentiated by time...

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...

Monitoring Travel Time Reliability on Freeways

Travel time and travel time reliability are important attributes of a trip. The current measures of reliability have in common that in general they all relate to the variability of travel times. However, travel time reliability does not only rely on variability but also on the stability of travel times. This paper clarifies the attributes of...