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Comprehensive Traffic and Transport Data Analytics & IT Services
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    • ISO 9001:2015 QMS
    • ISO 14001:2015 EMS
    • ISO/IEC 20000-1:2018 ITSM
    • ISO/IEC 27001:2022 ISMS
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AI Powered Traffic Counts

Artificial Intelligence Traffic Counting

AI Powered Traffic Counts

Traffic Data Analysis Blogs

Artificial Intelligence (AI) is being used to improve traffic counting in a variety of ways. AI-powered traffic counting systems use Computer Vision (CV) and Machine Learning (ML) to detect and count vehicles in real time. This Traffic Count Data can be used to make informed decisions about urban planning for Smart Cities and Connected Cars!

This Real Time Traffic Data can be used to monitor traffic conditions and make adjustments to traffic signals or other measures as needed. AI-powered traffic counting systems can also be used to identify patterns in Traffic Flow. This is more accurate than traditional methods (Manual Traffic Counts by humans anlaysing pre-recorded videos etc.,). AI-powered systems are not affected by weather conditions or other factors that can interfere with manual counting methods!

Here are some examples of how AI-powered traffic counting systems are being used:

Intelligent transportation systems (ITS): AI-powered traffic counting systems are being used in ITS to improve traffic management. AI-powered traffic counting systems can be used to monitor traffic conditions and adjust traffic signals in real time. This can help to reduce traffic congestion and improve traffic flow.

Urban planning: AI-powered traffic counting systems are being used in urban planning to make informed decisions about transportation infrastructure. AI-powered traffic counting systems can be used to identify areas where congestion is likely to occur. This information can be used to plan new transportation infrastructure, such as new roads or public transportation systems.

Environmental monitoring: AI-powered traffic counting systems are being used to monitor air quality and noise pollution. AI-powered traffic counting systems can be used to identify areas where traffic is causing air quality or noise pollution problems. This information can be used to take steps to reduce these problems, such as installing noise barriers or planting trees.

Wish to revolutionizing the transportation industry with accurate data analytics, real-time monitoring, and efficient traffic management for improved urban mobility? Come let’s collaborate and disrupt the market and create an impact and be the leader in AI Traffic Counting Solutions!

Tags: ArtificialIntelligenceConnectedCarsDataAnalyticsDeltaSoftwareSolutionsIntelligentTransportationSystemsRealTimeDataSmartCitiesTrafficCountingTrafficManagementUrbanPlanning
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DSS is the leading international provider for traffic and data services, trusted by top transportation professionals worldwide! The range of world class services across the division allows us to provide complete traffic counting services under one roof that sets DSS aside from our competitors. Want to increase efficiency, reduce cost and improve operational performance and decision making capabilities? Contact us today!

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  • Home
  • About Us
  • ISO Certifications
    • ISO 9001:2015 QMS
    • ISO 14001:2015 EMS
    • ISO/IEC 20000-1:2018 ITSM
    • ISO/IEC 27001:2022 ISMS
    • ISO 45001:2018 OHSMS
  • Services
    • Network Product Testing
    • Network Protocol Testing
    • Test Engineers On-Demand
    • GUI Testing
    • CLI Testing
    • QA Consulting
    • Traffic Data Analytics
      • Intersection Counts
      • Roundabout Counts
      • Road Volume Counts
      • Mid-Block Counts
      • Pedestrian Counts
      • Bicycle Counts
      • Parking Surveys
      • Queue Length Surveys
      • Punctuality Surveys
      • Traffic Violations
      • ANPR
      • 360° Video Analysis
      • Drone Video Analysis
      • VBV Traffic Data
      • Vehicle Gap Analysis
      • Loop Data Verification
      • Customized Vehicle Counts
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    • Market Research
    • Lead Generation
    • Content Writing
  • Case Studies
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    • Traffic Data Analysis
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