Group 1 - The Shanghai police have optimized the traffic governance system, resulting in a decrease in traffic accidents, fatalities, and injuries by 2.7%, 7%, and 7.3% respectively, with the traffic health index ranking first among major cities in China [1] - The upgraded "Easy PASS" system enables proactive traffic management through a comprehensive model that integrates people, vehicles, roads, enterprises, and events, achieving full network operation awareness [1] - The innovative "Traffic Congestion Control Model" has effectively automated the processes of congestion detection, cause analysis, strategy generation, and color-coded warnings, allowing for self-healing of congestion at 360 deployed intersections [1] Group 2 - The Shanghai police focused on 25 categories of traffic violations, implementing a comprehensive governance approach that led to over 33,000 violations by construction vehicles and a 23.7% increase in the number of non-motor vehicle violations detected [2] - The management of delivery riders has improved, with a three-tier responsibility system established, resulting in a 23.1% decrease in fatal accidents involving responsible riders [2] - A collaborative mechanism for large vehicles has been introduced, leading to over 900 penalties for companies failing to fulfill safety responsibilities, with a 24% decrease in fatal accidents involving large vehicles [2] Group 3 - The Shanghai police completed upgrades at 80 congestion points and implemented over 2,800 traffic organization optimization measures, significantly enhancing road capacity [3] - Eighteen traffic management service reform measures have been successfully implemented, with online traffic management services accounting for 16.1% of the total online services in the city [3] - The establishment of over 80 "Driver's Homes" and 280 restroom facilities addresses the needs of drivers, while the opening of six limited-time pedestrian streets optimizes traffic organization in popular commercial areas [3]

Core Insights - Shanghai police have launched a pioneering "Traffic Congestion Control Model" that can quickly detect traffic congestion, accurately analyze its causes, and generate comprehensive strategies for alleviating congestion [1][2] - The model has been deployed at 360 intersections in Shanghai, resulting in an average speed increase of 12.9% at these locations [1][2] Group 1: Model Development and Features - The "Traffic Congestion Control Model" builds on the existing "Easy PASS" system, which addresses four key congestion issues: where congestion occurs, why it happens, how to alleviate it, and the effectiveness of measures taken [1] - The model has undergone five rounds of optimization, achieving an accuracy rate of 96.7% in congestion alerts [1] - It has learned from over 950,000 pieces of traffic management knowledge, enabling it to generate traffic signal control plans after 48 rounds of tuning [1] Group 2: Implementation and Results - By the end of December 2025, the model will be applied at 360 intersections, with initial results showing an increase in average speed from 21.87 km/h to 24.53 km/h, a 12.9% improvement [2] - At the Chang Hai Road and Heng Ren Road intersection, the model identified congestion caused by a saturated parking lot, leading to a 51.2% increase in average speed from 17.5 km/h to 26.4 km/h despite a 19.1% increase in traffic flow [2] Group 3: Future Plans - Shanghai police aim to deploy the model at over 1,800 intersections by the end of October 2026 [3]