The National Development and Reform Commission,along with other relevant departments, has jointly issued a notice to initiate pilot programs for the opening and interconnection of logistics data.
On February 7, 2025, the National Development and Reform Commission, in conjunction with the Ministry of Transport and other relevant departments, as well as the China State Railway Group Co., Ltd., issued the "Notice on Launching Pilot Work for the Opening and Interconnection of Logistics Data." This initiative will be carried out in 16 cities, including Tianjin, Tangshan, Ningbo, Jinhua, Hefei, Linyi, Zhengzhou, Luoyang, Wuhan, Yichang, Guangzhou, Haikou, Chongqing, Chengdu, Urumqi, and Horgos, for a period of one year. The objective of this pilot program is to dismantle "information silos" and "data chimneys," to bridge the data of government departments, related enterprises, and business systems such as ports, highways, railways, and aviation, to innovate logistics data interaction models and solutions, to create a number of representative demonstration projects, to explore the establishment of a multi-level logistics data opening and interconnection mechanism that organically combines public welfare and marketization, to establish and improve the classification and exchange application standards of logistics data, to form a list of logistics public data sharing and opening, to promote nationwide application, to optimize the allocation of logistics resources, and to effectively reduce the logistics costs of the whole society.
The main pilot tasks include: the opening and interconnection of multimodal transport data, the integrated application of manufacturing, commerce, and logistics industry data, comprehensive services for international logistics data, and the interconnection and sharing of data between national logistics hubs.
link：
https://www.ndrc.gov.cn/xwdt/tzgg/202502/t20250214_1396165.html
Korean researchers have developed a new algorithm for traffic signal control.
A research team from Chung-Ang University in South Korea has proposed a meta-reinforcement learning (meta-RL) model for traffic signal control. This model integrates an extended deep Q-network (EDQN) with a context-based meta-reinforcement learning approach, aiming to address traffic congestion issues that traditional traffic signal control systems struggle to resolve effectively. Conventional traffic signal controllers typically rely on rule-based or theoretical systems to adjust traffic signals but fail to adapt to the dynamic changes in traffic environments, especially during congestion. While reinforcement learning (RL) can effectively tackle this issue, RL usually assumes a static environment, whereas traffic environments are dynamic. This model uses latent variables to determine traffic states (saturated or unsaturated) and implements signal phases (actions) to either maximize traffic flow or minimize delays based on traffic conditions. The research team validated this algorithm through real-world testing at 15 intersections in southwestern Seoul, demonstrating that the model can intelligently switch control tasks according to traffic saturation levels and outperforms existing traffic signal control algorithms.
link：
https://www.traffictechnologytoday.com/news/intersections/korean-researchers-develop-algorithm-for-traffic-signal-control.html
Denmark Introduces Truck Toll System Based on Be-Mobile Technology
On January 1, 2025, Denmark successfully launched a groundbreaking toll system for trucks weighing over 12 tons, replacing the existing Eurovignette truck road usage tax with a mileage-based CO2-differentiated vehicle charging model. This system shifts from a time-based fee structure to a usage-based kilometer charging system, taking environmental impact into account. Be-Mobile, in collaboration with its local partner COWI A/S, facilitated this transformation and implemented the system through its advanced toll control center.
The most significant change compared to the previous Eurovignette system is that the new toll is adjusted based on distance, emission class, and vehicle weight. The actual distance traveled by the vehicle determines the toll amount, while low-emission trucks enjoy discounts, encouraging the use of more environmentally friendly transport options. Additionally, heavier trucks are charged more to reflect their impact on infrastructure. The system also includes low-emission zones, where trucks entering or exiting these areas incur additional fees.
To cater to different user needs, the system offers two payment modes. The first is for frequent users, who can install an On-Board Unit (OBU) for automatic trip tracking, toll calculation, and payment settlement. The second is for occasional users, who can purchase electronic tickets for their trips, providing a simple and flexible option. License plates of both Danish and foreign trucks are automatically scanned. The system compares license plates with payment data to ensure that trucks have paid for their routes either via OBU or electronic tickets.
Supporting legal and administrative measures for the system include amendments to the Road Toll Act, with violations subject to fines. If the correct toll is not paid, the Danish Road Traffic Authority will impose a fine of 4,500 DKK. Failure to pay the fine will result in the case being handed over to the police.
link:
https://erticonetwork.com/denmark-launches-truck-tolling-scheme-with-be-mobile-technology/
【1】China's first guidelines for new energy vehicle insurance have been issued. Recently, the National Financial Regulatory Administration, the Ministry of Industry and Information Technology, the Ministry of Transport, and the Ministry of Commerce jointly released the "Guiding Opinions on Deepening Reforms, Strengthening Supervision, and Promoting the High-Quality Development of New Energy Vehicle Insurance." The guidelines call for efforts to reduce maintenance costs, explore the establishment of a risk classification system for insured vehicle models, create a high-claims risk-sharing mechanism, prudently optimize the floating range of autonomous pricing coefficients, enrich commercial vehicle insurance products, and optimize the benchmark rates for commercial vehicle insurance.
【2】South Korea plans to introduce a virtual reality (VR) driving skills self-assessment system to evaluate the driving abilities of elderly drivers aged 75 and above. According to the released document, the National Police Agency will conduct a pilot program for senior drivers, using VR to simulate driving scenarios and help them self-assess their ability to handle emergencies. If a significant decline in driving ability is detected, the police will provide counseling services to elderly drivers and guide them to voluntarily apply for the cancellation of their driver's licenses.
【3】France will invest 109 billion euros in the field of artificial intelligence (AI) over the next few years. These funds will come from investments by the UAE in building an AI park in France, as well as large investment funds from the United States and Canada, and contributions from French domestic companies. French President Emmanuel Macron compared this investment to the U.S. "Stargate" project, which plans to invest $500 billion in building data centers in the United States to support AI development.
