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Webinar: Meeting & Exceeding Mobility User Expectations With Real-Time Transit Information, Sean J. Barbeau, Derek Fretheim
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
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
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
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. …
Using Multimodal Performance Measures To Prioritize Improvements On Us 101 In San Luis Obispo County, Jessica Berry
Using Multimodal Performance Measures To Prioritize Improvements On Us 101 In San Luis Obispo County, Jessica Berry
PSU Transportation Seminars
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 Obispo Council of Governments (SLOCOG).
Performance based planning is becoming more important for agencies receiving State and Federal funding. Smaller, rural regional agencies will have to find ways to collect, report, and use performance metrics with limited resources. SLOCOG's first performance-based planning effort was the US 101 Corridor Mobility Master Plan, funded through a State grant.
Funding for this project came from a …
Empirical Evaluation Of Transit Signal Priority Through Fusion Of Heterogeneous Transit And Traffic Signal Data And Novel Performance Measures, Wei Feng
PSU Transportation Seminars
Transit signal priority (TSP) is designed to reduce delay for transit vehicles through signalized intersections. For an existing TSP system, it is important to assess how timely and effective TSP phases are granted to buses that request priority. It is also necessary to evaluate the time savings and delays for buses and other vehicles as a result of TSP phases. However, due to the lack of disaggregated and integrated transit, traffic and signal phase data, previous studies have not investigated the TSP performance at the phase level. This study collects and integrates three archived databases: bus automatic vehicle location (AVL) …
Piloting Portland's Multimodal Arterial Performance System, Shaun Quayle
Piloting Portland's Multimodal Arterial Performance System, Shaun Quayle
PSU Transportation Seminars
Shaun will present on the recently completed pilot demonstration of multimodal arterial performance measures for the Portland metro region, as part of the larger regional concept of operations. Treatments include a permanent bike count station on the Springwater Trail, permanent truck classification stations, Bluetooth travel time stations, as well as leveraging existing transit and signal controller data to paint a picture of the collective modal transportation system.
Vehicle Routing Problems In Congested Urban Areas, Miguel Figliozzi
Vehicle Routing Problems In Congested Urban Areas, Miguel Figliozzi
Systems Science Friday Noon Seminar Series
This talk will discuss vehicle routing problems in congested urban areas. Modeling approaches, data collection issues, and solution algorithms to solve real-world problems will be described and analyzed.