Traffic Brain (Shenzhen - China)
With a population of approximately 21 million, the former fishing village of Shenzhen has been experiencing all the difficulties of transforming into a big metropolis in less than 40 years. Traffic management becomes a huge problem to address, as road congestions, accidents and parking challenges become all the more frequent, specially because the city has the highest vehicle density in China (an average of about 530 vehicles per kilometre).
To face the increasing mobility issues, Shenzhen launched a city-wide traffic management system called “Traffic Brain”, a platform that allows traffic control by gathering and analysing Big Data to reduce traffic congestions and accidents and improve public safety.
Traffic Brain plans the urban traffic system in an extremely comprehensive, open, and intelligent way, using technologies such as video cloud, Big Data, and AI.
A unified data collection, analysis, and processing platform was created to achieve higher levels of information integration and utilization. An Open Data resource pool was created in the cloud for instant access, allowing a more efficient and high-quality analysis of traffic data and improved services for the citizens.
Sources:
http://e.huawei.com/us/publications/global/ict_insights/201708310903/utilities/201711021011
http://www.smartcityexpo.com/pt/awards-winners
http://it-online.co.za/2017/09/05/shenzhen-aims-for-smart-traffic-management/
Improved Intelligent Transport Systems.
Description of the specific objectives:
- Reduce traffic congestions and accidents;
- Improve public safety.
Shenzhen Traffic Police Bureau; Huawei.
- With the number of inhabitants rising every year, Shenzhen must promote a continuous improvement process to ensure that traffic management stays under control;
- Around $44 billion a year in congestion-related costs.
Big Data Platform; One Data Resource Pool; One Deep Learning system; Video Cloud; Artificial Intelligence.
At first, the Shenzhen Traffic Police Bureau introduced a series of standardized measures, such as the “zipper merge” and reversible lanes, but also some efforts related to a stronger law enforcement and improvements in driver education.
After that stage, the bureau and its partner created and implemented a more efficient and intelligent traffic management technology: China’s first city-wide Traffic Brain.
- The ultra-broadband traffic network carries about 40 times the data of a traditional police network;
- Data usage enhanced by 200%;
- The Shenzhen Traffic Police Bureau has a road monitoring system that detects traffic conditions through license plate identification, video surveillance, and other methods with an accuracy of 95%;
- AI-assisted law enforcement: using AI technology that is able to identify vehicle features, Traffic Brain processes up to 10 million images per day. Traffic violation images can be identified with an accuracy of more than 95%, improving the procedure about 10 times;
- Big Data improved crime fighting efficiency: the platform and traffic-analysis modelling engine creates multiple reports for different traffic violations within 30 minutes. Recently, 37,055 cases of various and serious violations were investigated and 874 vehicles with fake or cloned license plates were detained. Police officers’ work efficiency increased 9 times;
- Driving experience is improved through a real-time surveillance system installed in all signal-equipped intersections in the city, and a precise traffic signal control system. This enables the bureau to manage Big Data and organise traffic flow in a more efficient way. This has increased road capacity by about 8%.