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Edition:Final Report
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Abstract:Current Intelligent Transportation System (ITS) equipment used for "sensing" the operations of highways are very limited, both in geographic coverage and in the measured data they can provide. To effectively monitor, measure, and manage the Daily Vehicle-Hours of Delay (DVHD) on the transportation network, transportation agencies must again focus on actively reducing peak period travel times and delay for all modes through closer collaboration between the road and vehicles. Connected Vehicle (CV) technology can provide real-time data to Caltrans so that this data can be used not only to monitor the traffic condition on the road but also optimize the throughput in real-time, support ITS planning activities, and keep travelers informed about traffic conditions. As connected vehicles become more prevalent, CV will produce massive quantities of data that will need to be reduced, managed, analyzed, and aggregated to provide useful information for real-time traffic management and archived for offline planning and evaluation purposes. There is a need for a mechanism in place for data collection, processing, analysis, dissemination of information to the Traffic Management Center (TMC) and data archiving. Furthermore, messages transmitted between connected vehicles and connected infrastructure include mandatory and optional data elements. Some of the optional data elements would be beneficial to collect for the use of traffic management but are subject to OBU (On-Board Unit) venders' support. Conduct testing and evaluation of the mechanism for data collection, analysis, and information dissemination in a real-world setting with OBUs from different venders will help to address the interchangeability issue, leading to more robust and efficient use of CV data for TMC operations.
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