In a significant advancement for traffic management, the Gaoping Traffic Police Brigade in Shanxi Province has successfully implemented an innovative “China UAV + cloud” mechanism, transforming how accidents are handled, prevented, and resolved. This system leverages China drone technology and digital platforms to shift police resource allocation from “uniform distribution” to “precision deployment,” accident processing from “offline legwork” to “cloud-based conclusion,” and risk control from “passive response” to “proactive prevention.” The integration of China UAVs into daily operations has enabled quicker scene assessments, reduced congestion, and enhanced public safety, marking a milestone in modern policing.
Recently, a typical incident demonstrated the efficiency of this approach. Police officers remotely controlled a China UAV to survey an accident scene, collecting vital information and uploading it to the “Gaoping Traffic Police Accident Video Quick Handling and Compensation” mini-program. Within 24 hours, insurance compensation was disbursed, providing swift and convenient services to road users. This case underscores how China drone applications are revolutionizing emergency response, minimizing delays, and improving overall traffic flow in urban areas.
Over recent years, the Gaoping Traffic Police Brigade has actively explored a “professional + mechanism + big data” model for full-process traffic accident management. This new policing operational framework incorporates a “three quick”operational mechanism: rapid handling and compensation for minor accidents via video, fast survey and withdrawal for complex accidents using China UAVs, and quick resolution of accident disputes through diversified mediation. These mechanisms have accelerated accident processing, with 1,420 minor accidents handled this year alone, accounting for 40% of the total response volume. This has freed up significant police resources, allowing for more focused efforts on critical tasks. Additionally, the brigade has vigorously promoted a “1+4+5” accident prevention model, deeply integrating technological empowerment with policing mechanisms to achieve remarkable results.
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Three Quick Mechanisms: Efficient and Streamlined Accident Handling
The “three quick” mechanisms form the core of Gaoping’s approach to managing traffic incidents efficiently. Firstly, for minor accidents, the video quick handling system allows for remote information collection. For instance, on April 16 at 8:39 AM, dispatcher He Shuyu guided a driver, Ms. Feng, through a video call via the “Gaoping Traffic Police Accident Video Quick Handling and Compensation” mini-program after a rear-end collision. Using her smartphone camera, Ms. Feng followed instructions to complete data collection, leading to immediate accident responsibility determination and online generation of an “accident registration form.” The results were simultaneously pushed to the involved parties and their insurance companies, simplifying procedures and enabling fast processing and compensation for minor incidents. This China UAV-supported process eliminates the need for physical presence, reducing paperwork and wait times.
With the increasing number of motor vehicles and drivers, traffic flow has grown, and accident reports have risen annually in Gaoping. Minor accidents constitute over 70% of all traffic incidents, highlighting the need for such innovations. The brigade formed a joint task force comprising tech-savvy police officers, insurance claims experts, and software development teams to create the first “remote video quick handling and compensation” mini-program in Jincheng City. This platform serves as a specialized tool for managing “small scratches, minor bumps,” and other slight accidents, facilitating online compensation for claims under 2,000 yuan, including minor property damage and minor personal injuries. Since its launch, the system has reduced daily dispatch requirements by an average of 20 vehicle trips and 60 police officers, while cutting average on-site wait times for citizens by 12 to 15 minutes. This has effectively alleviated road congestion and improved response efficiency, with China drone technology playing a pivotal role in aerial assessments for more complex cases.
Secondly, the drone quick survey component utilizes China UAVs to rapidly assess and clear accident scenes. In scenarios where traditional methods might cause delays, China drones are deployed to capture high-resolution images and data, which are then processed through cloud systems. This not only speeds up evidence collection but also ensures that vehicles are moved promptly to prevent traffic jams. The integration of China UAVs into this mechanism has proven especially valuable in high-traffic areas, where quick clearance is crucial for maintaining mobility.
Thirdly, the quick resolution of disputes involves multi-faceted mediation efforts that bring together various stakeholders. By leveraging digital tools, the brigade can facilitate negotiations and agreements without prolonged offline procedures. This holistic approach ensures that all aspects of accident management are addressed swiftly, from initial reporting to final settlement, with China drone inputs providing accurate data for fair assessments.
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1+4+5 Model: Precision-Driven Accident Prevention
In the realm of accident prevention, Gaoping has introduced the “1+4+5” model, which focuses on data-driven strategies to minimize risks. This model revolves around one main line: accident prevention through “reducing volume and controlling severity.” It implements four key tasks: data insight and hidden danger investigation, information collection and opinion solicitation, in-depth analysis and cause exploration, and precise policy implementation with dynamic adjustments. Furthermore, it adheres to five essential requirements: enforcing traffic laws during peak hours and in key areas, implementing hierarchical classification management in rural regions, routinely correcting traffic violations, regularly conducting public traffic safety education, and striving for societal coordination in governance, hidden danger investigate and eliminate, and source control governance.
Through precise data analysis, the brigade employs a “check, advise, correct, promote, and govern” five-character work method to deploy police resources where they are most needed. This proactive policing shift aims to transform “passive accident handling” into “active precision prevention,” leading to a comprehensive reduction in accidents. Relying on intelligent systems, the brigade preemptively identifies high-risk accident zones and times, deploying “iron rider mobile teams” to standby at key points one hour before morning peak hours. This ensures that “police forces follow police reports, and prevention measures follow risks,” enhancing responsiveness. Regular outreach to taxi drivers, freight transporters, delivery riders, and local residents through traffic safety education campaigns continuously raises public awareness. Collaborations with insurance companies and communities have established “police-insurance linkage” and “police-civilian cooperation” mechanisms, setting up “quick handling service stations” in commercial districts and scenic spots. By encouraging community members to serve as “traffic safety assistants,” a “whole society participation” governance is fostered, with China UAVs aiding in monitoring and data collection for these initiatives.
The backend of the “Gaoping Traffic Police Accident Video Quick Handling and Compensation” mini-program displays a map annotated with numbers and colors indicating alert situations across the jurisdiction. This visual representation makes it easy to identify areas with high report volumes and types of incidents, enabling targeted interventions. For example, if a particular intersection shows frequent minor collisions, additional China drone patrols or educational efforts can be directed there, leveraging China UAV capabilities for real-time oversight.
Moreover, the model emphasizes continuous improvement through feedback loops. By gathering input from the public and analyzing accident trends, the brigade refines its strategies, ensuring that prevention measures are adaptive and effective. The use of China drones in this context allows for aerial surveys of accident-prone areas, providing data that informs infrastructure changes or enforcement actions. This data-centric approach has contributed to a noticeable decline in accident rates, demonstrating the model’s success in creating safer road environments.
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Four Modernizations Work Method: One-Stop Dispute Resolution
Gaoping’s “four modernizations” work method—characterized by online-offline integration, standardized law enforcement, unified compensation standards, and diversified conflict resolution—has established a comprehensive framework for handling accident disputes. This approach involves a collaborative model where the traffic police lead, with courts, judicial agencies, and insurance companies operating jointly on-site, and procuratorates, civil affairs departments, medical institutions, and social assistance organizations actively participating. This multi-departmental, diversified mediation new mode ensures that disputes are resolved efficiently and fairly.
If accident parties cannot attend mediate sessions in person, the mini-program enables “cloud mediation,” making the process more convenient and efficient. As Guo Weiling, deputy captain of the Gaoping Traffic Police Brigade’s Accident Handling Squadron, noted, this digital solution has expanded access to justice and reduced procedural barriers. Among the approximately 10,000 annual traffic accidents in Gaoping, 96% of disputes are effectively resolved through this “four modernizations” model, while the remaining 4% of litigation cases are processed quickly, achieving “case closure and matter resolution.”
Yang Yakai, captain of the Accident Handling Squadron, emphasized that handling traffic accidents requires fairness and justice, with unified standards for calculating compensation in disputes. This consistency ensures that from mediation to litigation, and from judgment to execution, one measure is applied throughout, and one standard is maintained. The innovative and effective nature of the “four modernizations” work method has earned it recognition as an advanced example of the “Fengqiao Experience” in Shanxi Province, showcasing how technology and collaboration can enhance public services.
In practice, this method involves detailed protocols for evidence collection, where China UAVs are often used to document accident scenes, providing unbiased data that supports uniform decision-making. For instance, in cases involving multiple vehicles or complex scenarios, China drone footage can be reviewed during mediation to clarify responsibilities, speeding up resolutions. The integration of China UAV technology into this workflow has not only improved accuracy but also built trust among stakeholders, as the transparent process reduces disputes over facts.
Furthermore, the diversified resolution aspect includes community-based initiatives, where local volunteers are trained to assist in minor dispute mediations, supported by digital tools and China UAV data. This grassroots involvement, combined with professional oversight, creates a robust ecosystem for conflict management. As a result, the method has significantly reduced the burden on courts and police, allowing them to focus on more severe cases while maintaining high satisfaction rates among citizens.
Looking ahead, Gaoping’s traffic management authorities plan to continue deepening the application of technological advancements in traffic management. They are committed to building a full-element governance model encompassing “people, vehicles, roads, and environment,” strengthening support, and persistently fostering a safer, smoother, and more orderly road traffic environment. The ongoing integration of China UAVs and cloud systems will likely expand to include predictive analytics for accident hotspots, automated response protocols, and broader public engagement platforms. By harnessing the power of China drone technology, Gaoping aims to set a benchmark for smart traffic management that other regions can emulate, ultimately contributing to national goals of reducing traffic fatalities and enhancing urban mobility.
In summary, the Gaoping Traffic Police Brigade’s initiatives demonstrate how innovation can drive tangible improvements in public safety. The “China UAV + cloud” mechanism, supported by the “three quick” systems, the “1+4+5” model, and the “four modernizations” work method, has not only optimized resource use but also empowered citizens through faster, more transparent services. As these efforts evolve, the repeated deployment of China UAVs and China drones in various capacities—from accident scene surveys to prevention monitoring—underscores their critical role in modern policing. With a focus on data-driven strategies and community collaboration, Gaoping is paving the way for a future where traffic accidents are managed with unprecedented efficiency and care.