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• 1. [Article] Using High Resolution Archived Transit Data to Quantify Congestion at Intersections of Urban Arterials

  Congestion can influence transit service attractiveness, operating cost, and system efficiency. This paper examines archived transit data to compare the effects of different intersection geometries on ...

  Citation × Citation Citation Abstract Copy Title: Using High Resolution Archived Transit Data to Quantify Congestion at Intersections of Urban Arterials Author: Glick, Travis B Year: 2015 Congestion can influence transit service attractiveness, operating cost, and system efficiency. This paper examines archived transit data to compare the effects of different intersection geometries on traffic congestion. The Tri-County Metropolitan Transportation District of Oregon (TriMet) has been archiving automatic vehicle location (AVL) and automatic passenger count (APC) data for all bus trips at the stop level since 1997 as part of their bus dispatch system (BDS). In 2013, TriMet implemented a higher resolution bus AVL data collection system. This 5-second resolution (5-SR) bus position data provides information about buses between stops in addition to their stop level data. The 5-SR data allows for the creation of a quantitative congestion analysis at specific locations. The objective of this paper is to use the high-resolution congestion analysis for a particular bus route in Portland, OR to analyze intersections with similar demands (i.e. through bus travel, similar traffic volumes, and far-side bus-stops) but different geometries. Results suggest that buses moving through intersections with a separated right turn lane may experience significantly less congestion than buses moving through intersections with a combination through/right turn lane. Interestingly, the travel lane (i.e. in the right turn or through lane) of the buses also may make a significant difference to the congestion experience by buses at the intersection. Buses in the through lane may experience less delay than buses in the right-turn lane. Title: Using High Resolution Archived Transit Data to Quantify Congestion at Intersections of Urban Arterials Author: Glick, Travis B Year: 2015 Congestion can influence transit service attractiveness, operating cost, and system efficiency. This paper examines archived transit data to compare the effects of different intersection geometries on traffic congestion. The Tri-County Metropolitan Transportation District of Oregon (TriMet) has been archiving automatic vehicle location (AVL) and automatic passenger count (APC) data for all bus trips at the stop level since 1997 as part of their bus dispatch system (BDS). In 2013, TriMet implemented a higher resolution bus AVL data collection system. This 5-second resolution (5-SR) bus position data provides information about buses between stops in addition to their stop level data. The 5-SR data allows for the creation of a quantitative congestion analysis at specific locations. The objective of this paper is to use the high-resolution congestion analysis for a particular bus route in Portland, OR to analyze intersections with similar demands (i.e. through bus travel, similar traffic volumes, and far-side bus-stops) but different geometries. Results suggest that buses moving through intersections with a separated right turn lane may experience significantly less congestion than buses moving through intersections with a combination through/right turn lane. Interestingly, the travel lane (i.e. in the right turn or through lane) of the buses also may make a significant difference to the congestion experience by buses at the intersection. Buses in the through lane may experience less delay than buses in the right-turn lane. Close

• 2. [Article] Utilizing High-Resolution Archived Transit Data to Study Before-and-After Travel-Speed and Travel-Time Conditions

  Travel times, operating speeds, and service reliability influence costs and service attractiveness. This research outlines an approach to quantify how these metrics change after a modification of roadway ...

  Citation × Citation Citation Abstract Copy Title: Utilizing High-Resolution Archived Transit Data to Study Before-and-After Travel-Speed and Travel-Time Conditions Author: Glick, Travis B Year: 2017 Travel times, operating speeds, and service reliability influence costs and service attractiveness. This research outlines an approach to quantify how these metrics change after a modification of roadway design or transit routes using archived transit data. The Tri-County Metropolitan Transportation District of Oregon (TriMet), Portland’s public transportation provider, archives automatic vehicle location (AVL) data for all buses as part of their bus dispatch system (BDS). This research combines three types of AVL data (stop event, stop disturbance, and high-resolution) to create a detailed account of transit behavior; this probe data gives insights into the behavior of transit as well as general traffic. The methodology also includes an updated approach for confidence intervals estimates that more accurately represent of range of speed and travel time percentile estimates. This methodology is applied to three test cases using a month of AVL data collected before and after the implementation of each roadway change. The results of the test cases highlight the broad applicability for this approach to before-and-after studies. Title: Utilizing High-Resolution Archived Transit Data to Study Before-and-After Travel-Speed and Travel-Time Conditions Author: Glick, Travis B Year: 2017 Travel times, operating speeds, and service reliability influence costs and service attractiveness. This research outlines an approach to quantify how these metrics change after a modification of roadway design or transit routes using archived transit data. The Tri-County Metropolitan Transportation District of Oregon (TriMet), Portland’s public transportation provider, archives automatic vehicle location (AVL) data for all buses as part of their bus dispatch system (BDS). This research combines three types of AVL data (stop event, stop disturbance, and high-resolution) to create a detailed account of transit behavior; this probe data gives insights into the behavior of transit as well as general traffic. The methodology also includes an updated approach for confidence intervals estimates that more accurately represent of range of speed and travel time percentile estimates. This methodology is applied to three test cases using a month of AVL data collected before and after the implementation of each roadway change. The results of the test cases highlight the broad applicability for this approach to before-and-after studies. Close

• 3. [Article] Estimating Reliability Indices and Confidence Intervals for Transit and Traffic at the Corridor Level

  As congestion worsens, the importance of rigorous methodologies to estimate travel-time reliability increases. Exploiting fine-granularity transit GPS data, this research proposes a novel method to estimate ...

  Citation × Citation Citation Abstract Copy Title: Estimating Reliability Indices and Confidence Intervals for Transit and Traffic at the Corridor Level Author: Glick, Travis B Year: 2017 As congestion worsens, the importance of rigorous methodologies to estimate travel-time reliability increases. Exploiting fine-granularity transit GPS data, this research proposes a novel method to estimate travel-time percentiles and confidence intervals. Novel transit reliability measures based on travel-time percentiles are proposed to identify and rank low-performance hotspots; the proposed reliability measures can be utilized to distinguish peak-hour low performance from whole-day low performance. As a case study, the methodology is applied to a bus transit corridor in Portland, Oregon. Time-space speed profiles, heatmaps, and visualizations are employed to highlight sections and intersections with high travel-time variability and transit low performance. Segment and intersection travel-time reliability are contrasted against analytical delay formulas at intersections with positive results. If bus stop delays are removed, this methodology can also be applied to estimate regular traffic travel-time variability. Title: Estimating Reliability Indices and Confidence Intervals for Transit and Traffic at the Corridor Level Author: Glick, Travis B Year: 2017 As congestion worsens, the importance of rigorous methodologies to estimate travel-time reliability increases. Exploiting fine-granularity transit GPS data, this research proposes a novel method to estimate travel-time percentiles and confidence intervals. Novel transit reliability measures based on travel-time percentiles are proposed to identify and rank low-performance hotspots; the proposed reliability measures can be utilized to distinguish peak-hour low performance from whole-day low performance. As a case study, the methodology is applied to a bus transit corridor in Portland, Oregon. Time-space speed profiles, heatmaps, and visualizations are employed to highlight sections and intersections with high travel-time variability and transit low performance. Segment and intersection travel-time reliability are contrasted against analytical delay formulas at intersections with positive results. If bus stop delays are removed, this methodology can also be applied to estimate regular traffic travel-time variability. Close