DSEIN is an association, which is working in sustainable smart cities area with its expert team.

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Smart Nation Singapore

Singapore’s Smart City initiative, also called the “Smart Country” launched in 2014, is a nationwide approach that promotes the use of digital innovation and technology to ensure sustainability and livability. The approach has three main pillars; digital economy, digital state and digital society. Singapore has drawn up a national plan to create a digital economy, digital society and digital government. These plans aim to develop national projects in the areas of service delivery and digital infrastructure.

Smart Nation Sensor Platform
It is an integrated sensor platform that improves city-level applications, municipal services, planning and safety at national level. It systematically uses data and sensor to improve city planning, create a more reliable and responsive public transport system, and improve public safety.

Smart Urban Mobility
Contactless fee payment technology in public transportation enables families with young children, the elderly and people who have difficulty moving around to easily get in and out of train stations. Autonomous services offer better urban connectivity and better mobile solutions for commuters, especially people with disabilities and the elderly.

Autonomous Vehicle Trials in Singapore
This initiative involves the application of autonomous vehicle technology to public transport and freight to face constraints in space and workforce. In 2015, A * STAR’s autonomous vehicle was approved for public road tests. It was the first vehicle of its kind to receive legal approval.

Open Data and Analytics for Urban Transportation
This initiative uses public data to facilitate transportation planning. The land transport authority (LTA) analyzes data on fare cards to manage bus fleets and identify commuter hotspots. Mounted on more than 5,000 vehicles, sensors track the arrival times of buses.LTA uses real-time location data of buses to effectively meet and predict passengers’ demands. This data is also intended to be used to improve policy planning. In the trial, it was stated that it reduced the rate of overcrowded buses by 92%.