{"id":43012,"date":"2022-07-04T10:53:29","date_gmt":"2022-07-04T08:53:29","guid":{"rendered":"https:\/\/intellias.com\/?p=43012"},"modified":"2024-01-18T09:29:02","modified_gmt":"2024-01-18T08:29:02","slug":"traffic-management-platform-powered-by-edge-device-data","status":"publish","type":"post","link":"https:\/\/intellias.com\/traffic-management-platform\/","title":{"rendered":"Traffic Management Platform Powered by Edge Device Data"},"content":{"rendered":"
Providing road intelligence at a large scale to ensure smarter, safer, and more efficient movement around cities requires accuracy and consistency achievable only with the help of modern traffic management technologies<\/a>. A US provider of fully implemented solutions for transportation companies and governmental agencies was looking for a way to improve their data processing capabilities. Their AI-based platform unites several apps that derive traffic insights from data collected by edge devices across road infrastructure. The amount of collected data was constantly growing. Consequently, our client required deep analysis of their solutions and market competition to find ways of improving their services.<\/p>\n Our client had the ambitious vision of improving their in-demand intelligent traffic management platform to enhance the flow of daily life for cities and their residents. Intellias brought this vision to life as a technological partner. Our partnership started with consulting services<\/a> \u2014 providing a competitive analysis of the client\u2019s camera data compared to that of other traffic data providers. Our data scientists compared data quality, verification processes, and format compatibility with competitors\u2019 offerings. After we found strengths and opportunities for improvement, the client decided to continue our partnership to rebuild, upgrade, and integrate their core business solutions.<\/p>\n We moved to developing, designing, and implementing several applications in the scope of the client\u2019s actionable intelligence platform for city infrastructure powered by edge device data.<\/p>\n We are working on a violation and notice management application used for real-time detection of vehicles violating road regulations and for resolving insurance claims due to road incidents. The solution uses cameras and edge devices installed across road infrastructure that recognize license plate numbers, vehicle colors, and vehicle models, comparing the data against an extensive database. This traffic monitoring app records all data related to vehicles, drivers, and incidents and serves as an aggregator of critical insights for insurance claims, solving difficult cases in a short period of time.<\/p>\n After receiving a competitor analysis from our data science team, the client continued using our big data analytics<\/a> expertise in designing their mountable edge devices for capturing and processing vehicle data. The main benefit of these devices is that all data processing is performed within the device itself, so the response time for an incident or violation is much faster compared to similar solutions. The device automatically sends an alert to the traffic control center with information on vehicles and collects critical data for further investigation.<\/p>\n We\u2019re working on an analytical module that monitors the state of road cameras, the quality of video streams, and operations of the traffic management control center. Our team\u2019s main responsibility is to maintain a stable connection with the cloud, ensure fast response times between devices and software, produce scheduled and regular updates, and set up critical parameters without interrupting devices and software operations on the road.<\/p>\n <\/p>\n We continue developing and supporting our client\u2019s core business platform that unites various apps for roadway monitoring, live traffic views, and sustainability initiatives via separate subscriptions. Our platform development and maintenance<\/a> services help the client steadily extend the coverage of their integrated traffic management platform to new cities. The platform relies on a scalable cloud infrastructure and takes advantage of recent advancement in artificial intelligence and machine learning technologies to increase public safety on the road.<\/p>\n <\/p>\nSolution delivered<\/h2>\n
Violation and notice management app<\/h4>\n
Edge device data processing<\/h4>\n
Camera performance monitoring<\/h4>\n
Integrated traffic management platform<\/h4>\n
Client\u2019s traffic management platform<\/h4>\n
Contactless compliance for law enforcement<\/h4>\n