Data fusion solutions to compute performance measures for urban arterials

Data fusion solutions to compute performance measures for urban arterials

One of the key problems faced by traffic management operators of large urban traffic networks is the lack of sufficient data to compute performance indicators. These indicators, such as travel time, queue length, loss hours, total time spent, are useful for both offline evaluation purposes, as well as online traffic control applications. In the...

Open traffic: A toolbox for traffic research

Open Traffic is an open source software project that provides a transport modeling software environment. While most transport model packages offer ready-to-use modules for end-users, Open Traffic provides open access to a modelling environment for the (further) development of methods and algorithms and enables the sharing, distribution and...

Traffic under a microscope

Traffic under a microscope

Methodology for efficient real time OD demand estimation on large scale networks

In previous work, we have explored the idea of dimensionality reduction and approximation of OD demand based on principal component analysis (PCA). In particular, we have shown how we can apply PCA to linearly transform the high dimensional OD matrices into the lower dimensional space without significant loss of accuracy. Next, we have defined a...

Traffic flow modeling: A Genealogy

80 years ago, Bruce Greenshields presented the first traffic flow model at the Annual Meeting of the Highway Research Board. Since then, many models and simulation tools have been developed. We show a model tree with four families of traffic flow models, all descending from Greenshields' model. The tree shows the historical development of...

Macroscopic travel time reliability diagrams for freeway networks

Travel time reliability is considered to be one of the key indicators of transport system performance. Knowledge of the mechanisms of travel time unreliability enables the derivation of explanatory models with which travel time reliability can be predicted and utilized in traffic management. Inspired by the macroscopic fundamental diagram (MFD),...

The impact of traffic dynamics on macroscopic fundamental diagram (poster)

Assessment of multi class kinematic wave models

In the last decade many multi class kinematic wave (MCKW) traffic ow models have been proposed. MCKW models introduce heterogeneity among vehicles and drivers. For example, they take into account differences in (maximum) velocities and driving style. Nevertheless, the models are macroscopic and the ow is modeled as a continuum flow, without...

Relationship between application scale and maximum time latency in intelligent transport solutions

Congestion is a major problem in large urbanised areas. Intelligent Transport Solutions aim to reduce this problem. Generally, traffic is monitored using sensors, this data is processed, a traffic state is estimated and a control measure is computed and implemented. The availability and quality of the data and the processing time of the...

Everscape: The Making of a Disaster Evacuation Experience

Disaster evacuation studies are important but difficult or impossible to conduct in the real world. Evacuation simulation in a virtual world can be an important tool to obtain data on the escape and choice behavior of people. However, to obtain accurate “realistic” data, the engagement of participants is a key challenge. Therefore, we describe...

Routing strategies based on the macroscopic fundamental diagram

An excess number of vehicles in a traffic network will reduce traffic performance. This reduction can be avoided by traffic management. In particular, traffic can be routed such that the bottlenecks are not oversaturated. The macroscopic fundamental diagram provides the relation between the number of vehicles and the network performance. One can...

Online Learning Solutions for Freeway Travel Time Prediction

Providing travel time information to travelers on available route alternatives in traffic networks is widely believed to yield positive effects on individual drive behavior and (route/departure time) choice behavior, as well as on collective traffic operations in terms of, for example, overall time savings and—if nothing else—on the reliability...