Exploring Innovational Solutions in Multimodal OD Data
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2016-06-01
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TRIS Online Accession Number:01627917
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Edition:Final Report
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Abstract:Origin destination data (O/D) is critically important in transportation planning. Real time O/D data can contribute to improving traffic operations and performance measures as well; however, this data is difficult to obtain. In the transportation planning process, it is usually estimated through an expensive survey with only a small response percentage. While Bluetooth O/D equipment can provide some percentages of O/D data, it is not able to provide the comprehensive O/D data needed for transportation planning and operations. In addition, real time O/D data could be useful at diamond interchanges which consist of two signalized intersections. These traffic signals provide safety and mobility benefits; however, they are currently treated as an individual intersection on the arterial and the OD traffic flow patterns are not considered to establish the traffic signal timing plan. Real time O/D data estimation at interchanges such as diverging diamond interchanges (DDI) are important for traffic signal optimization which could alleviate congestion and remove the typical DDI bottleneck, but OD is difficult to collect and even estimate in the field. This report presents two models to improve O/D estimates for both of these scenarios. The first model provides a means to determine an accurate O/D estimate from available O/D data (less than 100%) and traditional loop detector data while the second model presents a method of determining real time O/D including congestion effects through a linear system at a diamond interchange. These two models are then verified through simulation, and with the assistance of the Mississippi Department of Transportation (MDOT) field data was collected and used to validate the model estimations and simulation results
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