Develop a vehicle’s traffic management system on map which likely receives 80GB+ collected data of vehicles, mobile applications, camera, sensors and devices on roads every 120s.
TMA provided services of development and full testing
About Client
Industry:Logistics & Transportation
Location:US
Client Needs
Client required a vehicle traffic management system which is capable of processing and analyzing massive streams of real-time road and vehicle data to:
Ingest 80GB+ of collected data every 120 seconds from vehicles, mobile applications, road-side cameras, sensors, and devices.
Collect, parse, label, and classify incoming traffic data in real-time.
Analyze the data to update digital maps, traffic light systems, lane control, and detect road surface damages.
Provide meaningful information to drivers, city administrators, and government agencies for traffic monitoring, urban planning, and road maintenance
Solutions
Project delivered below outputs:
Research and develop Data Collectors, Data Classifier, Big Data Processing Pipeline, Big Data Services for traffic monitoring and management
Research and develop Big data warehousing and analyzer to get info from millions vehicles and devices to provide meaningful information for driver and government
Develop a web for traffic management on map: jam, single spot, road and lane density, road damages
Use OSRM to correct geo-coordinates into Cloud DB based on driving direction. Draw trajectory line based on detected coordinates
Perform solution functional testing and system testing
Technologies:
Big Data & Cloud: Apache Spark, Apache Hadoop, AWS Lambda, Azure Services
Mapping & Navigation: Mapbox, OSRM, Cloud DB integration
Web & Backend: HTML, ReactJS, NodeJS, SpringBoot, Python
Data Science & AI: TensorFlow, YOLOv5, LabelMe, ML-based classifiers
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