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  • Mobility and traffic research  (3)
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  • Mobility and traffic research  (3)
  • 1
    Online Resource
    Online Resource
    Dispersion Effect in Left-Turning Bicycle Traffic and Its Influence on Capacity of Left-Turning Vehicles at Signalized Intersections
    SAGE Publications ; 2014
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2468, No. 1 ( 2014-01), p. 38-46
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2468, No. 1 ( 2014-01), p. 38-46
    Abstract: Bicycle traffic passing through intersections exhibits a dispersion effect that can influence the movements of nearby vehicles. The primary objective of this study was to investigate the dispersion effect in left-turning bicycle traffic at signalized intersections and to evaluate the effect's influence on the capacity of left-turning vehicles. Characteristics of the dispersion effect were investigated in 20 h of video data collected in Nanjing, China. A Poisson model was estimated to evaluate the factors contributing to platoon width of left-turning bicycle traffic. The impacts of platoon width on the capacity and delay of left-turning vehicles also were evaluated. Results showed that several factors, including the number of left-turning electric bicycles (e-bicycles) and conventional bicycles arriving during the red light period and the directional factor, significantly affected the platoon width of left-turning bicycle traffic. Sensitivity analysis results indicated that the platoon was widest when the number of left-turning e-bicycles divided by the number of total left-turning bicycles arriving per cycle was about 60%. An adjustment factor that accounted for the impacts of left-turning bicycles on the capacity of left-turning vehicles was proposed. Increasing the platoon width of left-turning bicycles from three to eight reduced the left-turning vehicle capacity about 19% and increased the capacity of all left-turning traffic around 25%.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.3141/2468-05
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2014
    detail.hit.zdb_id: 2403378-9
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    Online Resource
  • 2
    Online Resource
    Online Resource
    Information Infrastructure for Research Collaboration in Land Use, Transportation, and Environmental Planning
    SAGE Publications ; 2010
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2183, No. 1 ( 2010-01), p. 85-93
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2183, No. 1 ( 2010-01), p. 85-93
    Abstract: This paper presents the framework and implementation of a flexible, loosely coupled information infrastructure to facilitate collaborative research on land use, transportation, and environment (LUTE) modeling. The framework combines off-the-shelf open source applications such as Apache, PostgreSQL, MapServer, OpenSSL, and MediaWiki, with proprietary tools such as ArcGIS Server and Flex, and uses minimal custom code to provide web services for distributed modeling and realistic evolution of data, models, and research. The approach has been developed to assist research collaboration for the transportation systems focus areas of the Massachusetts Institute of Technology–Portugal program, but it can be appropriate for other collaborative efforts that could benefit from federated systems for LUTE modeling across local and regional agencies and university partners.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.3141/2183-10
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2010
    detail.hit.zdb_id: 2403378-9
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    Online Resource
  • 3
    Online Resource
    Online Resource
    Calibration of Rail Transit Assignment Model with Automated Fare Collection Data and a Parallel Genetic Algorithm
    SAGE Publications ; 2014
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2442, No. 1 ( 2014-01), p. 20-28
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2442, No. 1 ( 2014-01), p. 20-28
    Abstract: In recent years, cities around the world have begun to use automated fare collection (AFC) systems with smart card technologies as the main method of collecting urban rail transit (URT) fares. Transaction data obtained through these AFC systems contain a large amount of archived information about how passengers use the URT system. These data can be used to calibrate assignment models for precise passenger flow calculations. However, this calibration typically is a computationally intensive problem because of multiroute searches, iteration strategies, and especially massive AFC data sets. This paper proposes a methodology for calibrating URT assignment models with AFC data and a parallel genetic algorithm. The calibration approach uses a framework based on a parallel genetic algorithm with nonparametric statistical techniques, which calibrate assignment model parameters by comparing observed and calculated travel time distributions. In initial case studies on the URT network in Beijing, the proposed approach found reasonable solutions for the calibrated parameters.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.3141/2442-03
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2014
    detail.hit.zdb_id: 2403378-9
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    Online Resource
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