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OTREC-RR-12-11 By Miguel Figliozzi
eBook (PDF): $0.00
This project developed a new methodology to estimate congestion impacts on freight movement, reliability, delays, costs, and emissions. Results suggest that traditional sensors underestimate the... More > impacts of congestion on travel-times and variability. It shows that congestion is not only more costly but also causes large increases in pollutants. This methodology allows planners to incorporate freight performance measures. In the Portland metropolitan region the focus was on developing multi-criteria tools for measuring and analyzing the impacts of freight corridor congestion. On segments along more than 300 miles of Interstate 5 (I-5) the focus was on using multiple data sources – commercial truck GPS, Oregon DOT corridor travel-time loops and incident data - to analyze the impacts of congestion. Freight corridor sections can have different reliability characteristics. A programming logic was developed to identify corridors and estimate localized impacts of travel-time unreliability.< Less
OTREC-RR-12-11 By Miguel Figliozzi
Paperback: $5.48
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This project developed a new methodology to estimate congestion impacts on freight movement, reliability, delays, costs, and emissions. Results suggest that traditional sensors underestimate the... More > impacts of congestion on travel-times and variability. It shows that congestion is not only more costly but also causes large increases in pollutants. This methodology allows planners to incorporate freight performance measures. In the Portland metropolitan region the focus was on developing multi-criteria tools for measuring and analyzing the impacts of freight corridor congestion. On segments along more than 300 miles of Interstate 5 (I-5) the focus was on using multiple data sources – commercial truck GPS, Oregon DOT corridor travel-time loops and incident data - to analyze the impacts of congestion. Freight corridor sections can have different reliability characteristics. A programming logic was developed to identify corridors and estimate localized impacts of travel-time unreliability.< Less
OTREC-RR-11-05 By Miguel Figliozzi
eBook (PDF): $0.00
Reliable urban freight movement is crucial to companies using just-in-time approaches. Routes with long computation times are inefficient , as are those ignoring travel time, while using congested... More > arteries and streets increases costs and exacerbates issues like greenhouse gases, air pollution, noise, and accidents. Mobile phones and routing devices improve driver/scheduler communication, allowing dynamic vehicle reassignment, stop order modification or diversion en-route, but only with fast routing methods. Travel time variation during peak hours is a major problem for models using constant vehicle speeds. Time-dependent routing research is meager and current methods are inadequate for real operations. Faster methods are essential to utilize real time information. This research aims to develop and evaluate new methods for routing in urban areas, emphasizing improved running times for existing methods.< Less
OTREC-RR-09-07 By Miguel Figliozzi
eBook (PDF): $0.00
This paper studies approximations to the average length of Vehicle Routing Problems (VRP). The approximations are valuable for strategic and planning analysis of transportation and logistics... More > problems. The research focus is on VRP with varying number of customers, demands, and locations. This modeling environment can be used in transport and logistics models that deal with a distribution center serving an area with daily variations in the demand. The routes are calculated daily based on what freight is available. New approximations and experimental settings are introduced. Average distance travelled is estimated as a function of the number of customers served and the number of routes needed. Approximations are tested in instances with different customer spatial distributions, demand levels, number of customers, and time windows, Regression results indicate that the proposed approximations can reasonably predict the average length of VRP problems in randomly generated problems and real urban networks.< Less
OTREC-RR-11-12B By Miguel Figliozzi & Alex Bigazzi
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Capacity, demand, and vehicle based emissions reduction strategies are compared for several pollutants employing aggregate US congestion and vehicle fleet condition data. We find that congestion... More > mitigation does not inevitably lead to reduced emissions; the net effect of mitigation depends on the balance of induced travel demand and increased vehicle efficiency that in turn depend on the pollutant, congestion level, and fleet composition. In the long run, capacity-based congestion improvements within certain speed intervals can reasonably be expected to increase emissions of CO2e, CO, and NOx through increased vehicle travel volume. Better opportunities for emissions reductions exist for HC and PM2.5 emissions, and on more heavily congested arterials. Advanced-efficiency vehicles with emissions rates that are less sensitive to congestion than conventional vehicles generate less emissions co-benefits from congestion mitigation.< Less
OTREC-RR-11-12B By Miguel Figliozzi & Alex Bigazzi
Paperback: $5.44
Prints in 3-5 business days
Capacity, demand, and vehicle based emissions reduction strategies are compared for several pollutants employing aggregate US congestion and vehicle fleet condition data. We find that congestion... More > mitigation does not inevitably lead to reduced emissions; the net effect of mitigation depends on the balance of induced travel demand and increased vehicle efficiency that in turn depend on the pollutant, congestion level, and fleet composition. In the long run, capacity-based congestion improvements within certain speed intervals can reasonably be expected to increase emissions of CO2e, CO, and NOx through increased vehicle travel volume. Better opportunities for emissions reductions exist for HC and PM2.5 emissions, and on more heavily congested arterials. Advanced-efficiency vehicles with emissions rates that are less sensitive to congestion than conventional vehicles generate less emissions co-benefits from congestion mitigation.< Less
OTREC-RR-13-10 By Miguel Figliozzi & Katherine Bell
eBook (PDF): $0.00
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
Paperback: $5.36
Prints in 3-5 business days
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-12-09 By Miguel Figliozzi et al.
Paperback: $5.44
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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
OTREC-RR-12-09 By Miguel Figliozzi et al.
eBook (PDF): $0.00
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

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