Integrating Emerging Data Sources into Operational Practice : Opportunities for Integration of Emerging Data for Traffic Management and TMCs.
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2017-11-01
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NTL Classification:NTL-INTELLIGENT TRANSPORTATION SYSTEMS-INTELLIGENT TRANSPORTATION SYSTEMS
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Abstract:With the emergence of data generated from connected vehicles, connected travelers, and connected infrastructure, the capabilities of traffic management systems or centers (TMCs) will need to be improved to allow agencies to compile and benefit from using this information. New capabilities will be needed for data acquisition, communications bandwidth from the roadside to the TMC, new computing hardware, software, data storage and management systems, decision support subsystems, and data sharing and dissemination systems. The magnitude of what capabilities will be needed by individual TMCs, agencies and service providers will vary across regions. Regardless of the size of the traffic management system and TMC capabilities, the big data tools and technologies and systems are likely quite similar. The purpose of this report is to: • Identify how big data tools and technologies can be used in traffic management systems or TMCs; Develop potential use cases for integrating big data technology and tools into traffic management systems or TMCs; Assess how connected vehicle and traveler related data could be used to enhance the operation of traffic management systems or TMCs; Analyze how the sharing of data with other TMCs, systems, connected vehicles and travelers; and agency business processes or systems could impact the performance of a traffic management system or TMC; and Identify the challenges and options to consider to compile, use and share this data.
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