Real Time Estimation of Arterial Travel Time and Operational Measures Through Integration of Real Time Fixed Sensor Data and Simulation

A wide variety of advanced technological tools have been implemented throughout Georgia’s transportation network to increase its efficiency. These systems are credited with reducing or maintaining freeway congestion levels in light of increasing travel demands. In Georgia these benefits are primarily gained through the Traffic Management Center’s (TMCs) freeway monitoring and quick response in ridding the roadway of any obstacles that may reduce freeway service levels. There have been a number of efforts to leverage the work done by TMCs to provide travelers with more current traffic information such as Georgia 511 and Navigator. In addition, private efforts and partnerships have made the TMC’s information more accessible to travelers, aiding their traveler decisions. The effort presented in this report aims to compliment real-time freeway information by addressing the more limited availability of real-time arterial performance measures. This research project explores the feasibility of integrating real-time data streams with an arterial simulation to support an arterial performance monitoring system. Such information will facilitate increased efficiency in facility utilization by enabling more informed decisions in the use and management of Georgia’s transportation facilities. This objective was accomplished by undertaking the following tasks: (1) Describe the current state of practice concerning the estimation of real-time arterial performance measures. (2) Develop a federated (integrated) simulation test-bed for testing procedures and algorithms. (3) Determine the feasibility of integrating point sens or data with simulation to create a data-driven, on-line simulation tool. (4) Develop procedures and algorithms to calibrate an on-line simulation tool that estimates of travel time and other performance measures in real-time. (5) Determine any potential improvements in travel time estimation resulting from sensors placed in atypical locations, such immediately downstream of an intersection. (6) Field-test the data-driven, on-line arterial simulation tool on a target corridor. (7) Devise method(s) to deliver travel time and other operational characteristics to Georgi Department of Transportation (GDOT) and the general public.

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