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Big data module for intelligent dynamic adjustment of urban public transportation network
Intelligently optimize the public transportation network, improve efficiency, and promote green and low-carbon travel in cities.
Type
Software
Tags
Other resource gains
Information & systems
Communications technology
Information processing technology
Electronic technology
Computer science and technology
Intelligent
Electronics and communications technology
Big data
Electronics and communications technology other subjects
Public transportation network
Solution maturity
Development / Pilot validation
Applicable industry
Scientific research and technology services
Applications
Intelligent transportation
Key innovations
This product uses intelligent algorithms and modules, and uses mobile signaling big data to realize dynamic optimization and automatic adjustment of the bus line network, solving the backward status of traditional manual adjustment. Its innovation lies in the introduction of mobile phone signaling data as the basis for optimization, which greatly improves the accuracy and efficiency of network adjustment.
Potential economic benefits
This product significantly reduces urban public transportation operating costs and financial investment by intelligently optimizing the bus network. It can improve resource utilization efficiency, save manpower, have huge market sales potential, and bring considerable economic benefits to the city.
Potential climate benefits
Optimize the bus network to improve operational efficiency and directly reduce fuel consumption. At the same time, it attracts more private car users to turn to public transportation, significantly reducing urban carbon emissions.
Solution supplier
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Tongji University
Tongji University
Tongji University: The national "double first-class" construction university uses advantageous disciplines such as civil engineering, architecture, transportation, and environment to cultivate innovative talents to serve national construction and sustainable urban development.
Shanghai,China
Solution details

Under the guidance of the "public transportation first" development strategy, major cities in China continue to increase financial investment in public transportation. However, the technical means for adjusting public transportation network are quite backward, and most of them are in a manual or semi-manual state. Therefore, buses are dispatched on the line. Data products with dynamic adjustment of network technology have good market prospects.

This product is positioned in the development and application of intelligent adjustment algorithms and modules for public transportation network. It can be seamlessly transplanted to newly built or existing comprehensive group information systems in major cities, striving to become a mainstream product in this domestic market segment. The product applied for an invention patent on October 20, 2016:"Optimization and Adjustment of Conventional Public Transport Network Based on Mobile Phone Signaling Data", and is now in the actual review stage. In May 2016, the scientific research project was completed and practiced in the Jingao Public Transport Network in Pudong New District, Shanghai City, and good results were achieved.


Last updated
08:56:23, Nov 05, 2025
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