Project: lda large Scale Demonstrator in Athens
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SmartTaxi SmarTaxi is an application to improve the network operation forecasting the taxi demand around the city. One of the bigger concerns today in our cities is the air quality. The European Union has declared 2013 as the Year of the Air Quality. The main cause of environmental pollution is caused by traffic and taxis are a great part of the traffic. SmarTaxi is an application to improve the network operation forecasting the taxi demand around the city. It shows with a heat-map where the demand is in real-time, the amount of waiting time for each taxi stops and also shows a graph of the next 24h with the best hours to work in order to allow the taxi driver to make a better schedule. It uses the location data from the taxis, where they pick up or drop a client, where taxis are continuously going in order to identify events around the city... Server programmed in PHP and Python with large amounts of sent and received information on real-time (Big Data) establishing connections between the data by no relational databases. The information of the server is treated and returned with R language. It combines genetic algorithms to build the structure, artificial neural networks to learn comparing the real outcome with the expected, and algorithms of local optimization to improve the learning process. The service has been piloted in Moscow.
Impact – Benefits It will reduce the amount of kilometers driven looking for clients, which means a reduction of the traffic and the resulting pollution. It will shorten the citizens’ waiting time. The expected reduction of emissions will be around the 30%. For example, the kilometers per day driven by taxis looking for clients are around 70. In Madrid 5% of the fuel is consumed by taxis. There are 15.708. Applying the 30% of driving reduction all these taxis would avoid about 329.868 km per day with the resulting saving of 63.334 kg of CO2. 
Further information Links
http://www.eu-smartcities.eu/content/taxi-kilometers-jams-and-co2 Contact information Mr Federico Lopez Talleria
Source Smart Cities Stakeholder Platform Green Light Pro Traffic Light Priority System Emergency vehicles must get to their destination quickly. Every second counts. Traffic and congestion can have life-threatening consequences. The challenge is to use new technologies to give emergency vehicles priority at traffic signals. In a bid to improve the service to those in need, the West Yorkshire Fire and Rescue Service have investigated ways to improve the safety and response time of travelling to emergencies. As part of this project, Vix has provided an innovative system to give green lights at Traffic Signals ahead of an emergency vehicles approach. Using on-vehicle GPS tracking information provided through Metro the West Yorkshire Passenger Transport Executive’s yournextbus real-time service, the innovative pilot project uses Vix Traffic Light Priority technology to give Fire and Rescue Service priority at configured Traffic Signals on route to the emergency. The pilot of this ground-breaking solution is highlighting the benefits of safely stopping traffic to give priority to the emergency vehicle, ensuring that it arrives safely and quickly to provide assistance to those who are in need.
Impact – Benefits This solution can save lives and property. Depending on the emergency, hundreds of lives can be saved. 
Further information Links
http://bit.ly/T4a48A http://vixtechnology.com/case-study Contact information http://vixtechnology.com/about/contact-us Source Citymart.com 5.6 Uses of Copernicus based services in Regions GMES Urban Atlas Data An Urban Atlas Exploration Tool Prague, the capital city of the Czech Republic, and its surrounding area, is home to almost a quarter of the country’s population and have grown rapidly in recent decades. Both city centre and surroundings have been transformed and decision makers involved in urban planning lack accurate data enabling them to monitor and interpret these changes and trends beyond the city limits and thus understand their causes and implications as pre-requisite for sustainable city development. The GMES service provides Urban Atlas data covering both city administrative area and a large area surrounding the city and thus enables seamless assessment of the functional city area, which is not possible with conventional data. The Urban Atlas service provides rather large and complex outputs, therefore to unlock its potential the datasets has to be well organised within an easy data exploration environment allowing flexible comparison and analysis for effective information gathering. An Urban Atlas Exploration Tool was developed to provide an advanced but still intuitive interface, where different modes of presentation (maps, tables, graphs) are interlinked and data can be easily visualised, further explored, analysed or combined with socio economic statistics. Impact – Benefits The solution provided has been based on the application of data from the GMES Urban Atlas service. The dataset is highly relevant for application in suburban commuter belt where, despite experiencing the most dynamic development in city, limited information support is available today for urban planners considering area outside of the city extent. The data appears to have big potential if consistency over space and time is maintained. The data can be used to monitor urban growth dynamics and to provide insight into the land consumption & transformation processes involved. Integration with statistical socio-economic data allows the development of specific indicators describing various aspects of city development and supporting city planning activities. 
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