The Opticities Project, TEC – ITS France, September 2015

In a special bilingual French-English edition, TEC magazine reports on the European Opticities project to develop and test particularly innovative ITS tools in an urban environment. These innovative tools, which include the Aimsun Online real-time decision support system, will collect data, control multimodal traffic in real time, provide multimodal information in real time, and strategic decision support tools.

Short-term traffic forecasts to help TfL combat capital’s jams, Local Transport Today, 5-20 August 2015

Transport for London is to procure an automated predictive signalling system that adjusts traffic signal timings in response to short-term forecasts of traffic conditions.
The system will predict likely congestion and then take active steps to prevent it occurring, or minimise its effect, Alan Bristow, TfL’s director of road space management, told members of TfL’s finance and policy committee.

Connected and autonomous vehicles capability, ITS UK Directory, July 2015

TSS is currently working with a number of users on the development and application of Aimsun to the assessment of autonomous and connected vehicles. Aimsun is a mature tool in terms of evaluating connected vehicle technologies, response plan evaluation and, in Aimsun Online, a Decision Support System in a TMC for providing simulation-based prediction.

Real-time simulation for pollution reduction, Data & Modelling, June 2015

The uTRAQ project in the east Midlands is seeking to advance real-time traffic management with the specific goal of reducing air pollution. With air quality and traffic management considered high priority policy issues for both central government and local authorities, a key strength of the system is its modular nature and ability to interface with existing and future advanced traffic management systems.

UK project to trial real-time traffic simulation to improve air quality, Traffic Technology Today, 18 May 2015

The Urban Traffic Management and Air Quality (uTRAQ) project uses satellite-generated atmospheric data to help local authorities devise traffic management strategies for reducing pollution levels and hotspots. The project is part funded by the European Space Agency (ESA) and led by the UK’s Transport Research Laboratory (TRL) in collaboration with TSS-Transport Simulation Systems (TSS) and the University of Leicester in the UK’s Midlands.

Quelle voiture pour demain?, CNRS Le Journal, Avril 2015

À Grenoble, l’équipe NeCS du Gipsa-Lab travaille sur des algorithmes de régulation et de prédiction du trafic à l’aide d’un dispositif expérimental installé sur la rocade intérieure sud de la ville, le Grenoble Traffic Lab.

‘Better traffic signals can cut greenhouse gas emissions’, MIT News, April 2015

A study by researchers at the Massachusetts Institute of Technology could lead to better ways of programming traffic lights to reduce delays, improve efficiency, and reduce emissions.
While existing programs can simulate both city-scale and driver-scale traffic behaviour, integrating the two has been a problem. Using Aimsun traffic studies in the Swiss city of Lausanne, the MIT team developed new algorithms that reduced the amount of detail enough to make the computations practical, while retaining enough specifics to make useful predictions and recommendations.

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