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OTREC-RR-13-10 By Miguel Figliozzi, Katherine Bell
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Oregon is one of a few states using commercial truck weight-mile tax (WMT). The Oregon Dept. of Transportation (ODOT) developed a system for simpler WMT collection. The Truck Road Use Electronics... More > (TRUE) system includes a smart phone application to collect Global Positioning System (GPS) data. This surpasses other GPS data due to its level of geographic detail and potential to integrate trip origin and destination, vehicle class, and commodity data. This research evaluates the accuracy of TRUE data and demonstrates its use in freight modeling, performance measures, and planning applications. The use of data for highly accurate trip-generation rates and mobility performance measures is demonstrated. TRUE data has strong potential in measuring safety, accessibility and connectivity, system condition and environmental stewardship. The potential for use in emissions estimates including speed profiles and truck type is examined. Integration with weigh-in-motion data will vastly improve emission estimate accuracy.< Less
OTREC-RR-13-10 By Miguel Figliozzi, Katherine Bell
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Oregon is one of a few states using commercial truck weight-mile tax (WMT). The Oregon Dept. of Transportation (ODOT) developed a system for simpler WMT collection. The Truck Road Use Electronics... More > (TRUE) system includes a smart phone application to collect Global Positioning System (GPS) data. This surpasses other GPS data due to its level of geographic detail and potential to integrate trip origin and destination, vehicle class, and commodity data. This research evaluates the accuracy of TRUE data and demonstrates its use in freight modeling, performance measures, and planning applications. The use of data for highly accurate trip-generation rates and mobility performance measures is demonstrated. TRUE data has strong potential in measuring safety, accessibility and connectivity, system condition and environmental stewardship. The potential for use in emissions estimates including speed profiles and truck type is examined. Integration with weigh-in-motion data will vastly improve emission estimate accuracy.< Less
OTREC-RR-13-07 By Miguel Figliozzi et al.
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The Sydney Coordinated Adaptive Traffic System (SCATS) is used to mitigate urban traffic congestion. This research combines SCATS research areas including: a) the relationship between SCATS, traffic... More > volumes, and Transit Signal Priority (TSP); b) between TSP and traffic conditions; and c) the correlation between signal timing and air quality. SCATS showed significant speed improvement at a minor intersection, though major intersection results were mixed. Non-priority signals had a greater impact on travel time than priority signals. A regression model of intersection delays showed major intersections with high cross-street volumes are not likely to experience TSP benefits. Signal timing and queuing have a high impact on pedestrian exposure. Longer green times along the main corridor significantly reduced particulate matter, whereas longer street crossing time increased queuing and exposure. Reduced bus idling time and proper bus shelter orientation are likely to reduce pollution exposure significantly.< Less
OTREC-RR-12-09 By Miguel Figliozzi et al.
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A healthy and efficient transit system is indispensable to reduce congestion, emissions, energy consumption, and car use in urban areas. This research aims to develop methods to evaluate and... More > visualize bus service reliability for transit agencies; identify the unreliability trends of bus routes to understand their causes and effects; and model service times using linear regression models. Six months of vehicle location and passenger count data from a low-performance route in Portland was used for this research. Route 15 has experienced problems with schedule adherence and headway regularity. We developed methods to summarize causes of bus bunching, first determining the frequency of each cause. Next we demonstrated how results change using varying difficulty levels of bus bunching thresholds. Finally we investigated how results vary in different areas. This research also developed new ways to summarize and visualize vast amounts of bus route data in an insightful and intuitive manner.< Less