The idea of future transportation has always been a topic of endless discussion. In the coming years, perhaps all it will take is a single button press to have a driverless solar-powered public vehicle safely transport you to your destination. These vehicles would be guided by the city's "brain," which calculates optimal routes and avoids traffic congestion. This innovation would also eliminate the hassle of parking, making urban mobility more efficient and sustainable.
A few days ago, the China Highway Society and Gaode Map launched the "Future Transport and Urban Computing Joint Lab." This initiative marks the beginning of practical projects aimed at addressing urban traffic challenges. The first group of five top scientists and their teams will focus on innovative research in transportation and urban development, pushing forward the vision of intelligent transportation that we can already begin to imagine.
According to Weng Mengyong, Chairman of the China Highway Society, the future of transportation must be multi-dimensional. By continuously upgrading systems, we can better support solutions for urban traffic problems. The joint lab is expected to leverage big data and cloud computing to revolutionize how cities manage traffic.
Industry experts believe that future transportation should be digital, smart, automated, and fast. Flexible infrastructure will be key. For example, Li Meng from Daimler’s Sustainable Transport Research Center at Tsinghua University emphasized that achieving safe autonomous driving requires integrating vehicles into a broader transportation system, not just relying on individual high-tech cars. The real challenge lies in road infrastructure, not just the vehicles themselves.
"The future transportation infrastructure includes traffic detection, signal control, and information collection, enabling comprehensive perception of roads and intersections," said Li Meng. From a research perspective, this involves three levels: collecting massive data to build AI models, analyzing risks, and then sending warnings to vehicles through AR and VR to enable smarter driving.
Xu Li from the China Highway Society mentioned that the joint lab has developed a five-year plan focused on solving urban congestion. The long-term goal is to provide scientific decision-making for a strong transportation nation. Starting with urban traffic, they aim to create an intelligent transportation solution that evolves from small-scale optimization to large-scale system improvement.
An example is the successful implementation of the "Traffic Brain" in Hangzhou. It uses big data to detect traffic jams quickly and sends alerts to traffic police via the internet, significantly improving response times. Data shows that timely intervention can reduce congestion caused by accidents by 20% and increase average speeds by 35%.
Dong Zhenning from Gaode Map said that the company will work with researchers to explore future transportation technologies based on big data, aiming to transform the industry.
However, smart driving is just the beginning. Yang Xiaoguang, a professor at Tongji University, believes the future of transportation is not just about changing traditional modes but redefining the entire service model. Transportation systems are closely linked to societal progress and play a vital role in smart cities.
Yang believes that a city’s transportation system can be fully simulated in a computer, requiring advanced computing power and deep expertise. With big data, we can now achieve real-time sensing and better strategic planning for the future.
Despite these advancements, current transportation systems still face five major challenges: time-varying conditions, non-linearity, discontinuity, unmeasurability, and lack of control. To address this, Professor Yu Zhi from Sun Yat-sen University proposed the IDPS framework—Infrastructure, Data, Platform, and Service System—to support intelligent transportation.
He emphasizes that the system needs solid infrastructure, full data collection, a smart computing platform, and flexible information services.
Experts predict that future smart transportation will involve connected and coordinated roads. Traditional traffic lights may disappear, replaced by intelligent systems that adjust traffic flow based on vehicle movement rules. This transformation will require powerful computing, AI, and vast data resources to support it.
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