Congratulations to the nominees for the 2012 Living Labs Global Awards! Of the 700-plus entries submitted this year, 109 were selected for the next round. You can view the full list of nominees here, or select a city to see which showcases made the shortlist for a specific challenge. All 21 cities participating in this year’s awards selected a handful of projects that best address the unique urban challenges put forward this year. Below is the shortlist of showcases selected for Mexico City, which sought proposals for technologies that can capture and share real-time public transit data.
EyeStop: An adaptive bus stop that uses touch-sensitive technologies and screens, EyeStop allows transit users to interact with street furniture. The design provides access to the internet, an interactive map for looking up bus routes and schedule times, and a digital bulletin board for posting ads or other information.
MovIn Mexico City: The idea behind MovIn Mexico City is to provide a single, integrated information system to help people get around the city. All available modes of public transportation are incorporated into the system to provide one source of information for a city’s multimodal transport network. Transit users can use the system’s mobile app or website to direct them to their destination using real-time location data.
Modern Urban Transportation Information: Intelligent Transport System (ITS) solutions by Clever Devices benefit both public transit operators and passengers alike. In addition to real-time bus location information, ITS technologies allow a transit agency to monitor on-time performance, ridership, and maintenance needs for its vehicles. These systems can help fleet operators identify issues in routing and scheduling that could be improved to maximize agency resources.
Real Time Passenger Information: Vix Technology’s BusNet Real Time Information System offers real-time travel information displays at stops and stations, fleet management technologies, and smart card fare collection to allow for more efficient transit operation.
SLT-Flow: Self-Learning Traffic Flow Sensing, or SLT-Flow, is designed to detect vehicles on the road to provide cities with real-time information on traffic conditions. What’s unique about this technology is the high degree of accuracy that it can provide across several lanes of traffic, detecting accidents, traffic congestion, and vehicle flow, serving as an ideal support system for traffic management needs.
Check out these and more than 100 other exciting showcases on the LLGA 2012 nominees’ page.
~ Allison Bullock