More From Miguel Figliozzi et al.

OTREC-RR-430 By Christopher Monsere
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This research report describes our efforts to assemble and develop a multimodal archive for the Portland-Vancouver region. The preliminary nature of the archiving process means that some of the data... More > are incomplete and samples. The arterial data sources available in the Portland-Vancouver region include data for local agencies (City of Portland, Clark County, WA, TriMet and C-TRAN) covering vehicle, transit, pedestrian, and bicycle modes. We provide descriptions of each data source and a spatial and temporal classification. The report describes the process for extracting data from the agency systems and transferring these data to our multimodal database. A number of novel visualizations were created. These are summarized in this report and examples are shown. Efforts to monitor data quality and automate data quality processing are explored. Finally, the report presents efforts to combine transit and travel time data and signal timing and vehicle count data to generate some sample congestion measures.< Less
OTREC-RR-430 By Christopher Monsere
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This research report describes our efforts to assemble and develop a multimodal archive for the Portland-Vancouver region. The preliminary nature of the archiving process means that some of the data... More > are incomplete and samples. The arterial data sources available in the Portland-Vancouver region include data for local agencies (City of Portland, Clark County, WA, TriMet and C-TRAN) covering vehicle, transit, pedestrian, and bicycle modes. We provide descriptions of each data source and a spatial and temporal classification. The report describes the process for extracting data from the agency systems and transferring these data to our multimodal database. A number of novel visualizations were created. These are summarized in this report and examples are shown. Efforts to monitor data quality and automate data quality processing are explored. Finally, the report presents efforts to combine transit and travel time data and signal timing and vehicle count data to generate some sample congestion measures.< Less
OTREC-RR-12-11 By Miguel Figliozzi
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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-12-11 By Miguel Figliozzi
eBook (PDF): $0.00
Download immediately.
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

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