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Travel time (Traffic engineering)

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Full-Text Articles in Engineering

Webinar: Meeting & Exceeding Mobility User Expectations With Real-Time Transit Information, Sean J. Barbeau, Derek Fretheim Aug 2018

Webinar: Meeting & Exceeding Mobility User Expectations With Real-Time Transit Information, Sean J. Barbeau, Derek Fretheim

TREC Webinar Series

Every day transit riders ask the same question: when’s the next one coming? To answer this question, transit agencies are transitioning to providing real-time transit information through smartphones or displayed at transit stops.

The proliferation of transit planning and real time arrival tools that have hit the market over the past decade is staggering. Yet with transit ridership on the decline, agencies can’t afford to ignore the importance of providing accurate, real time information to their customers. Real-time transit information improves the reliability and efficiency of passenger travel, but barriers have prevented some transit agencies from adopting the GTFSrealtime v1.0 …


Transit Demand Analysis And User Classification Using Automatic Fare Collection (Afc) Data, Alireza Khani Mar 2018

Transit Demand Analysis And User Classification Using Automatic Fare Collection (Afc) Data, Alireza Khani

PSU Transportation Seminars

Development of origin-destination demand matrices is crucial for transit planning. The development process is facilitated by transit automated data, making it possible to mine boarding and alighting patterns on an individual basis. This research proposes a novel stochastic trip chaining method which uses Automatic Fare Collection (AFC) and General Transit Feed Specifications (GTFS) data to infer an origin-destination (O-D) matrix.


Evaluation Of Route Changes Utilizing High-Resolution Gps Bus Transit Data, Travis Bradley Glick Feb 2018

Evaluation Of Route Changes Utilizing High-Resolution Gps Bus Transit Data, Travis Bradley Glick

PSU Transportation Seminars

Congestion and travel delay on urban roadways can influence operating costs and service attractiveness. This research uses high resolution bus data to examine sources of delay on urban arterials. A set of tools was created to help visualize trends in bus behavior and movement; this allowed larger traffic trends to be visualized along urban corridors and urban streets. By using buses as probes and examining aggregated bus behavior, contoured speed plots can be used to understand the behavior of roadways outside the zone of influence of bus stops. Speed plots can be utilized to discover trends and travel patterns with …


Estimating Reliability Indices And Confidence Intervals For Transit And Traffic At The Corridor Level, Travis B. Glick Jan 2017

Estimating Reliability Indices And Confidence Intervals For Transit And Traffic At The Corridor Level, Travis B. Glick

PSU Transportation Seminars

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. …