The Experts below are selected from a list of 60 Experts worldwide ranked by ideXlab platform
Glick, Travis B - One of the best experts on this subject based on the ideXlab platform.
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Evaluation of Route Changes Utilizing High-Resolution GPS Bus Transit Data
PDXScholar, 2018Co-Authors: Glick, Travis B, Figliozzi MiguelAbstract:This study applies high-resolution archived transit data to study the effect of roadway changes using data collected before and after the completion of a project affecting transit. Methodologies are presented to compare percentile and time-of-day performance measures before and after the project. In addition, differences in travel time and travel-time variability are examined over the altered route. The case study examines one heavily used route in Portland that was recently diverted onto a newly built transit-only bridge to examine the claims that travel times would decrease and reliability would increase. The results of this study indicate that travel times increased for the majority of trips but travel-time variability during the peak period was sharply reduced. Methodologies to quantify transit performance influence Transportation planning and subsequent decisions; those decisions may affect operating speeds, travel times, ridership, costs, and efficiency (1). Transit operations research is continually evolving with the introduction of new or improved data-collection systems. Onboard global position systems (GPS) are opening up new research opportunities to visualize and quantify transit behaviors hidden by legacy data-collection systems. High-resolution (HR) GPS data-collection is expanding analysis options when implemented. However, these data-collection systems are new, not widespread, and as a result, understudied. This study applies HR data to quantify the impact of changes to roadways as a before-and-after study. This study expands on existing systems to show applicable methodologies that quantify transit performance changes following a roadway modification in locations where transit has been traditionally excluded. The case study for this paper examines the effect of the Tilikum Crossing. This new bridge in Portland, OR is the largest vehicle-free bridge in the United States (2). Although it is designed for light rail, streetcar, bikes, buses, and pedestrians, personal vehicles are not permitted. TriMet, Portland’s public Transportation Provider, claimed the new bridge would reduce travel times and improve efficiency on routes 9 and 17 (3). This paper examines those claims for Route 9. The bridge cost was estimated at US$134 million paid for by federal grants, OR state lottery, and TriMet revenue
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Utilizing High-Resolution Archived Transit Data to Study Before-and-After Travel-Speed and Travel-Time Conditions
PDXScholar, 2017Co-Authors: Glick, Travis BAbstract: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.https://pdxscholar.library.pdx.edu/trec_seminar/1126/thumbnail.jp
Anton Ivaschenko - One of the best experts on this subject based on the ideXlab platform.
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multi agent solution for business processes management of 5pl Transportation Provider
Business Process Management, 2014Co-Authors: Anton IvaschenkoAbstract:This paper describes a model and technology for business processes management of Fifth Party Logistics (5PL) Provider in Transportation industry. The proposed model provides formalization of Transportation orders’ assignment in the form of events able to consider the flexibility of actors’ interaction. The solution is based on implementation of overlay networks for actors generated analyzing the variability of orders assignment. The results are illustrated by the description of multi-agent software-as-a-service solution implementing the proposed approach.
Glick, Travis Bradley - One of the best experts on this subject based on the ideXlab platform.
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Utilizing High-Resolution Archived Transit Data to Study Before-and-After Travel-Speed and Travel-Time Conditions
PDXScholar, 2017Co-Authors: Glick, Travis BradleyAbstract:Travel times, operating speeds, and service reliability influence costs and service attractiveness. This paper 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\u27s 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
Figliozzi Miguel - One of the best experts on this subject based on the ideXlab platform.
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Evaluation of Route Changes Utilizing High-Resolution GPS Bus Transit Data
PDXScholar, 2018Co-Authors: Glick, Travis B, Figliozzi MiguelAbstract:This study applies high-resolution archived transit data to study the effect of roadway changes using data collected before and after the completion of a project affecting transit. Methodologies are presented to compare percentile and time-of-day performance measures before and after the project. In addition, differences in travel time and travel-time variability are examined over the altered route. The case study examines one heavily used route in Portland that was recently diverted onto a newly built transit-only bridge to examine the claims that travel times would decrease and reliability would increase. The results of this study indicate that travel times increased for the majority of trips but travel-time variability during the peak period was sharply reduced. Methodologies to quantify transit performance influence Transportation planning and subsequent decisions; those decisions may affect operating speeds, travel times, ridership, costs, and efficiency (1). Transit operations research is continually evolving with the introduction of new or improved data-collection systems. Onboard global position systems (GPS) are opening up new research opportunities to visualize and quantify transit behaviors hidden by legacy data-collection systems. High-resolution (HR) GPS data-collection is expanding analysis options when implemented. However, these data-collection systems are new, not widespread, and as a result, understudied. This study applies HR data to quantify the impact of changes to roadways as a before-and-after study. This study expands on existing systems to show applicable methodologies that quantify transit performance changes following a roadway modification in locations where transit has been traditionally excluded. The case study for this paper examines the effect of the Tilikum Crossing. This new bridge in Portland, OR is the largest vehicle-free bridge in the United States (2). Although it is designed for light rail, streetcar, bikes, buses, and pedestrians, personal vehicles are not permitted. TriMet, Portland’s public Transportation Provider, claimed the new bridge would reduce travel times and improve efficiency on routes 9 and 17 (3). This paper examines those claims for Route 9. The bridge cost was estimated at US$134 million paid for by federal grants, OR state lottery, and TriMet revenue
Angappa Gunasekaran - One of the best experts on this subject based on the ideXlab platform.
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a hybrid data analytic methodology for 3pl Transportation Provider evaluation using fuzzy multi criteria decision making
International Journal of Production Research, 2015Co-Authors: Adile Yesim Yayla, Asil Oztekin, Alev Taskin Gumus, Angappa GunasekaranAbstract:Third-party logistics (3PL) service Provider selection for a strategic alliance is not an easy decision, and is constantly associated with uncertainty and complexity. For this reason, in this study, a hybrid fuzzy multi-criteria decision-making methodology is proposed to provide a systematic decision support tool for 3PL Provider evaluation, especially for 3PL Transportation Provider. The proposed evaluation methodology consists of several steps. First, the strategic goal and sub-attributes are identified for 3PL service Provider evaluation. After constructing the hierarchy, Buckley’s fuzzy-analytical hierarchy process (AHP) extension algorithm is used to determine the evaluation criteria weights. Then, by using fuzzy-AHP results as input weights, the fuzzy-Technique for Order Preference by Similarity to Ideal Solution technique is conducted in order to identify the most suitable third-party Providers. Finally, a real-life case study in a confectionary company is presented to demonstrate the potential use...
