Jul. 15, 2015
NTT DATA Corporation
NTT DATA Corporation (Head Office: Tokyo, Japan; President and CEO: Toshio Iwamoto, hereinafter referred to as “NTT DATA”) will begin joint research in Guiyang City, China on July 15, 2015 with the Institute of Software, Chinese Academy of Sciences (Head Office: Beijing, China; Director: Prof. Zhao Chen, hereinafter referred to as “ISCAS”), with the cooperation of the government of Guiyang City, China, into traffic simulation and traffic signal control technology based on the analysis of traffic control camera data.
This joint research will utilize knowhow acquired with demonstration tests conducted in 2014 for alleviating traffic congestion in Jilin City, China, to make traffic congestion predictions and traffic signal control simulations based on the analysis of data from traffic control cameras installed at intersections throughout Guiyang City. These will be used to develop technologies that can alleviate traffic congestion, which will be used to optimize the control of traffic signals in central Guiyang City as part of demonstration tests to determine how well traffic congestion can be alleviated.
NTT DATA will develop solutions to alleviate traffic congestion based on the results of studies that include this demonstration test, and implement initiatives to develop smart cities by marketing these solutions throughout Japan and countries around the world. This technology will also be applied to smart city projects that are under way around the world, with the aim of generating sales of 10 billion yen by the end of the 2020 fiscal year through the development and operation of systems based on traffic signal control optimization solutions.
Background and Overview of Joint Research
The number of smart city initiatives, where information technology is utilized to achieve a more convenient society, has increased around the world in recent years. Guiyang City, capital of the Guizhou province in China, is suffering from common issues related to inner city traffic congestion due to the economic growth and rate of urbanization. The city has already deployed public transit management systems and road traffic control systems based using Intelligent Transport Systems (ITS)*1, which includes traffic monitoring systems using traffic control cameras and the traffic control systems based on state-of-the-art networked traffic signals.
NTT DATA already has experience with the development of traffic congestion prediction and traffic signal control simulation technology that utilizes big data from traffic, with demonstration tests conducted in 2014 for alleviating traffic congestion in Jilin City, China using traffic congestion prediction and traffic signal control simulations based on GPS data from buses validating the effects of such technology.
ISCAS has knowledge of traffic throughout China and also possesses advanced technology for analytical processing of statistics, with a branch office established as a research center in Guiyang City. In the field of traffic analysis, ISCAS operates technology for analyzing big data acquired from traffic control cameras aimed at ascertaining traffic flow and other characteristics, and actually utilizes this technology in Guiyang City.
NTT DATA and ISCAS are collaborating in research covering various different topics at the joint R&D center that was established in April 2014 between the Institute of Software, Chinese Academy of Sciences and NTT DATA’s Research and Development Headquarters. A new joint research topic covering technologies that can alleviate traffic congestion with traffic simulations based on traffic control camera data has been launched with the cooperation of the government of Guiyang City at the joint R&D center.
This topic will focus on research into large volume, real-time camera data processing technology aimed at automating traffic control systems, and technology for predicting traffic congestion and traffic signal control using traffic simulations. The results of this research will allow the technology to be applied in a flexible manner to other cities that have different traffic data collection methods and systems.
Outline of Demonstration Test
The technology for alleviating traffic congestion that is covered by this joint research will be studied with demonstration tests planned to be conducted in central Guiyang City during the 2015 fiscal year. The demonstration test will involve making traffic congestion predictions and traffic signal control simulations based on the analysis of data from traffic control cameras installed at intersections throughout Guiyang City. These will be used to generate optimized traffic signal parameters to alleviate traffic congestion, which will then be rolled out to approximately 100 traffic signals located throughout the city.
To check the effects of the demonstration test, comparisons will be made before and after traffic signals have been optimized to see how well traffic congestion can be alleviated using indexes such as drive time on the commuting route, average speed of vehicles driving on target roads, and the length of time waiting at intersections, with improvements further studied for these indexes. This will be the first such test conducted Guiyang City to check how traffic congestion can be alleviated by utilizing big data from traffic.
- Target area: central Guiyang City, China
- Number of target traffic control cameras: approximately 100
- Target traffic signals: approximately 100
Figure. Traffic signal control by networking traffic control cameras and running traffic simulations
Regarding the Future
The results of this joint research and the demonstration test are slated to be released at the end of the 2015 fiscal year, with the results of the test applied for fully-automated control of traffic congestion with a real-time connection to traffic control systems. Solutions to alleviate traffic congestion featuring a combination of traffic simulations based on the results of studies that include this demonstration test, and traffic signal control technology will be marketed, and initiatives implemented to develop smart cities by marketing these solutions throughout Japan and countries around the world.
This technology will also be applied to smart city projects that are under way around the world, with the aim of generating sales of 10 billion yen in Japan and overseas by the end of the 2020 fiscal year through the development and operation of systems based on traffic signal control optimization solutions.
ISCAS is one of the organizations under the jurisdiction of the Chinese Academy of Sciences, a research institution under the direct supervision of the State Council of the People’s Republic of China. It is the only national research institution that conducts research on computer science and software. ISCAS was established in 1985 within the Chinese Academy of Sciences, a national research institution in China. It is located in Zhong Guan Cun, sometimes referred to as the Silicon Valley of China. It is comprised of approximately 750 members, and in addition to conducting research regarding such topics as computer science theory and cutting edge software technology and its application, it has also established institutions as locations to cultivate human resources. These include a Master’s degree training institution for full-time, specialized degrees in Computer Science and Technology as well as Software Engineering; the first doctoral training institution in the field of Electronics and Information; a scientific research base for post-doctoral curriculum; and more. To date, ISCAS has conducted a wide range of technical development from fundamental research to research that approaches business and has also proactively advanced cooperation with overseas organizations such as universities, research institutions and corporations. ISCAS has organized wide-ranging science and technology exchanges as well as cooperative relationships with 40 countries and areas including America, Europe, Japan, Australia, and more.
- *1Intelligent Transport Systems (ITS) are traffic systems designed to resolve various issues related to road traffic, such as traffic accidents and traffic congestion, by utilizing information networks between people, roads and vehicles.
- *The product names, company names, and group names in this text are the trademarks or registered trademarks of their respective organizations.
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