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Big Data for China’s motor traffic problems

Ike Suarez | Nov. 29, 2013
SAP to provide platform for the country’s Ministry of Transport’s pilot project

China intends to use Big Data to help solve traffic congestion problems caused by motor vehicles in its cities and has tapped enterprise solutions vendor SAP AG.

SAP will be the platform provider for the country's Ministry of Transport's pilot project to be implemented in Beijing, Kunming, Chongquing, and Tianjin.

A press statement by the German vendor said the platform is based on SAP HANA and developed through collaboration between China's Research Institute of Highway Ministry of Transport (RIHMT) and SAP Labs China.

An integrated information management system, it will manage vehicular traffic flow of taxis in China's cities, which are increasingly beset by motor vehicle congestion in city streets due to the country's rapid urbanization.

Taxi Operations

The platform will enable traffic management authorities to "quickly understand traffic situations, accurately analyze passenger flow and taxi operations and get real time insights to make fact-based decisions," according to the statement.

It explained that taxis significantly supplement public transport systems in China with the industry having to cope with mismatches in service supply capacity and service demands.

Analysis Processing

The company further claimed in its statement that the platform will be a significant leap forward in the analysis processing performance of Big Data.

This is because it is capable of analyzing six to 36 billion data records yearly. "The use of cutting edge IT technology is an essential approach to upgrade industrial management and eliminate traffic bottlenecks," the statement quoted RIHMT Chief Engineer Gu Jingyan as saying.

He said their ministry is laying a solid foundation for the building of a green, sustainable, and intelligent traffic system for China in the Big Data era.

SAP AG has its head offices in Waldorf, Baden-Wuttenbkurg, Germany.

 

 

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