Towards a pro-active model for identifying motorway traffic risks
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Real-time urban traffic control systems frequently require precise traffic measurements and fast communications in order to achieve desired performance levels. Such requirements may hinder the adoption of these beneficial control systems because of the ins ...
This paper presents an approach to develop motorway Rear-End Crash Risk Identification Models (RECRIM) using disaggregate traffic data, meteorological data and crash database for a study site at a two-lane-per-direction section on Swiss right-hand driving ...
It is a well-known fact that nowadays reliable traffic data are an indispensable prerequisite for efficient traffic control and planning. Nevertheless, traffic monitoring in urban areas is still difficult and expensive due to complex traffic dynamics and r ...
Most of existing motorway traffic safety studies using disaggregate traffic flow data aim at developing models for identifying real-time traffic risks by comparing pre-crash and non-crash conditions. One of serious shortcomings in those studies is that non ...
The DLR Traffic Data Platform (TDP) that is currently being developed by the German Aerospace Center (DLR) is an autonomous decentralised ITS system for distributed intelligent traffic data management and dissemination. Of course, there are many possibilit ...
This paper deals with the coordination of a group of mobile robots at an intersection. It focusses on decentralized navigation functions (DNFs) to achieve efficient traffic control. The main challenge is to define virtual potentials, which are used by dece ...
The continuously increasing daily traffic congestions on motorway networks around the world call for innovative control measures that would drastically improve the current traffic conditions. Mainstream traffic flow control (MTFC) is proposed as a novel an ...
Recently, the author proposed a new approach how to take advantage of common floating car data in context of urban traffic monitoring (cf. Neumann, 2009: Efficient queue length detection at traffic signals using probe vehicle data and data fusion, 16th ITS ...
Our goal is to develop motorway traffic risks identification models using disaggregate traffic data, meteorological data and crash database for a study site at a two-lane-per-direction section on motorway A1 in Urtenen-Schönbühl, Switzerland. We define tra ...
This work presents the modeling methodology of the iTETRIS platform to integrate and simulate ITS applications. iTETRIS is a modular and open-source simulation platform composed of four key modules: the network simulator ns-3, the traffic simulator SUMO, a ...
