Context
Jinan, capital city of Shandong Province, was once the country’s most congested city (data in 2015) due to a sharp increase in the number of the city’s population. Facing this, Jinan had a public-private joint project launched in 2016 between Jinan’s Traffic Police, overseeing the city’s traffic control, and DiDi, a private company with the world’s leading mobile transportation platform. The project built a big data-based smart transportation system for Jinan’s traffic control.
Solution
The public-private collaboration built a “one cloud four hubs” operating system architecture, a traffic management ecosystem with real-time perception of traffic signs, dynamic analysis of traffic emergency events, scientific evaluation of traffic status, and intelligent traffic control decisions.
The overall big data management cloud gathers traffic data, while the “four hubs” are composed of a perception centre, an analysis centre, a decision centre, and an evaluation centre. These hubs are responsible for building a closed-loop control mode of “real-time perception-analysis and judgement-intelligent decision-release evaluation”, which finally evolves into a real traffic brain that is capable of self-evolution and self-learning.
Through accurate and complete data collection, the system platform relies on learning, cognition, interpretation, calculation, simulation, and decision-making, which makes traffic management and decision-making more effective, while the carrying capacity of the road network can be maximised.
Stakeholder Engagement
A trilateral cooperation agreement was signed in 2018 between the Jinan Municipal Traffic Bureau, Shandong University, and the Transport Company DiDi to develop the so-called Jinan Traffic Brain (JT Brain) Project led by the municipal traffic police department.
Policies
In 2018, the local Government of Jinan formulated an Action Plan for the Construction of New Smart City in Jinan (2018-2020) to accelerate the construction of a new smart city in Jinan, to improve the urban governance capacity as well as the modernisation level, and to promote the city´s digital and intelligent transformation and development.
Financial Aspects
The local government of Jinan funds the JT Brain through government procurement. Generally, the investment and financing of smart city construction in China can be divided into three main modes: government funding, PPPs and enterprise investment. Based on the different local development situations, there are differences in the proportion of the three modes applied.
Results
- Command and dispatch daily average handling of more than 500 accident alarm cases, more than 150 quick accident handling alarm cases, and more than 400 traffic congestion alarms.
- The average time of receiving and dispatching police was reduced from 7 minutes before the establishment of the smart office to 4.5 minutes, and the overtime rate of receiving and dispatching police was less than 0.5%.
- The average time of handling the police on the spot was improved from 9 minutes to 7 minutes, and the overtime rate was less than 0.9%.
- The average time of police mediation in the traffic accident remote mediation centre decreased from 7 minutes to 5 minutes, and the overtime rate was less than 0.8%.
APEC Case Studies
https://apsec.tju.edu.cn/ueditor/php/upload/file/20210106/1609914588107456.pdf
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and various other sources
