Traffic modeling, forecasting and assignment in large-scale networks
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The available capacity of motorway networks is degraded in presence of traffic congestion, leading to reduced throughput, increased pollution and higher accident risk. The traffic flow efficiency may be increased via suitable application of several control ...
The aim of this paper is to explore a new approach to obtain better traffic demand (Origin-Destination, OD matrices) in case of dense urban networks. To improve the global process of OD demand estimation, this paper is focussing on a new methodology to exe ...
The performance of signalized arterials is related to queuing phenomena. The paper investigates the effect of transitional traffic flow conditions imposed by the formation and dissipation of queues. A cross-recurrence quantification analysis combined with ...
London's bus network is one of the largest and most comprehensive urban transport systems in the world. The contribution of buses is recognised by implementing a series of initiatives including bus priority at traffic signals. London has a long history of ...
Road traffic crash is a problem in every country. According to World Health Organization, in Europe there are about 127,000 people killed and at least some 2.4 million injured each year. Incident detection algorithms to detect incidents on motorways are we ...
Many complex networks are only a part of larger systems, where a number of coexisting topologies interact and depend on each other. We introduce a layered model to facilitate the description and analysis of such systems. As an example of its application, w ...
This work, part of the European project ‘Intelligent Roads’, aims to achieve real-time data collection and innovative methods for road traffic monitoring, focusing on some performance indicators: travel time and traffic density. Data fusion provides a cons ...
Traffic simulation is more and more widely used and a helpful decision tool for planer and managers. Several tools exist and could be grouped in two main families: Macrosimulators with aggregate vision of the traffic in the network and microsimulators whic ...
The knowledge of real-life traffic patterns is crucial for a good understanding and analysis of transportation systems. These data are quite rare. In this paper we propose an algorithm for extracting both the real physical topology and the network of traff ...
This paper presents a model to estimate travel time using cumulative plots. Three different cases are considered: i) case-Det, for only detector data; ii) case-DetSig, for detector data and signal controller data and iii) case- DetSigSFR, for detector data ...
