IBM has announced its first major customer for the Intelligent Transportation solution it introduced last year. The project is with the Chinese city of Zhenjiang, where IBM is working with the local municipality to deliver an integrated transport management system as part of the “Smarter Zhenjiang, Smarter Tourism” project. Zhenjiang is a city of 3 million people in eastern China and is an important regional hub situated near the Yangtze River and the Grand Canal.
The new system is based on IBM’s Intelligent Operations Center for Smarter Cities (IOC) and will provide a real-time picture of the city’s traffic network with the aim of alleviating congestion, improving traffic management, and providing a better travel experience for citizens and visitors.
A core component of the project is a bus scheduling system that will help increase the efficiency of public transportation. The system will help Zhenjiang manage over 1,000 public transportation vehicles, over 80 city bus routes and 400 upgraded bus stations. A sensor system will collect data from smart devices in buses and bus stations and feed these to the IOC, where the data will be analyzed to help transit personnel adjust bus routes, frequencies, and bus station locations.
IBM China Research Laboratory is working with the city to create what it calls a Transit Route Network Optimization Planning System (TOPS). TOPS will provide a simulation platform for transit fleet and passenger flow on the network. It will draw on a variety of historical and real-time data sources and use predictive analysis to enable proactive management of the transport and transit system.
Amidst the stream of smart city project announcements, this one stands out for a number of reasons.
First, the project is concrete evidence of how China is looking to smart solutions to address the challenges of urban growth. Most analysis of the smart city market, including our own, presumes that China will eventually be at the forefront of smart city development, but to date, actual projects on anything approaching city-scale have been thin on the ground so far. Our report, Smart Cities, identified transport as the segment of the market where Asia, and particularly China, would grow fastest because of the impact of congestion on economic growth and sustainability. According to IBM, China is building more public transit systems than the rest of the world combined, and the country can’t cope with its rising transport demand without more intelligent management.
Second, the project builds on and develops some key innovations in transport management. This will be a state-of-the art system that not only monitors congestion but also uses predictive analytics to proactively manage traffic flows – through the routing of buses to meet demand and avoid bottlenecks, for example. Based on its work with Singapore and other cities, IBM claims its systems can now predict congestion build ups between 5 and 30 minutes ahead of problems arising, allowing traffic managers to take mitigating action.
Third, this is an early vindication for IBM of its IOC model for city management. The base of the system is the IOC platform, customized to meet the needs of the city and enhanced with the new capabilities being developed by its research arm in China. IBM has the opportunity to build a positive feedback loop as innovations made in Zhenjiang feed back into the solution set and make it even more relevant to the issues facing other cities.
Tags: Clean Transportation, Intelligent Transportation Systems, Smart Cities, Smart Transportation Practice
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