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Travel time (Traffic engineering)
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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 -
2. [Article] Using Multimodal Performance Measures to Prioritize Improvements on US 101 in San Luis Obispo County
The US 101 Corridor Mobility Master Plan in San Luis Obispo was a two-year planning effort that evaluated the 70 mile corridor on 12 performance measures. This collaborative effort was led by the San Luis ...Citation -
3. [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 -
4. [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 -
There is a growing interest in arterial system management due to the increasing amount of travel on arterials and a growing emphasis on multimodal transportation. The benefits of archiving arterial-related ...
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6. [Article] Exploiting New Data Sources to Quantify Arterial Congestion and Performance Measures at a Regional Scale
Transit travel time, operating speed and reliability all influence service attractiveness, operating cost and system efficiency. These metrics have a long-term impact on system effectiveness through a ...Citation