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  • Mobility and traffic research  (2)
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  • Mobility and traffic research  (2)
  • 1
    Online Resource
    Online Resource
    SAGE Publications ; 2021
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2675, No. 11 ( 2021-11), p. 669-684
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2675, No. 11 ( 2021-11), p. 669-684
    Abstract: In port areas, traffic is characterized by container trucks which run on diesel, while in urban areas it is characterized by private cars which run on petrol. The different fuels as pollution sources cause distinct particle pollution. This study offers an in-depth investigation of particle pollution and corresponding short-term exposures in port and urban areas. Field measurements were carried out to collect the data including particulate matter and traffic volume. Based on the data, firstly, the Pearson correlation analysis was performed to analyze the relationships between traffic volume and particles. Secondly, the Anderson–Darling test was adopted to identify the “best-fit” distributions on particles. Thirdly, comparisons of particle pollution levels in port and urban areas were analyzed. Finally, the pedestrian respiratory deposition doses of particles were estimated. The results indicate the importance and urgency of reducing air pollution, especially for port cities, and provide policymakers with a foundation for possible measures in the port city.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2021
    detail.hit.zdb_id: 2403378-9
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  • 2
    Online Resource
    Online Resource
    SAGE Publications ; 2009
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2091, No. 1 ( 2009-01), p. 1-11
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2091, No. 1 ( 2009-01), p. 1-11
    Abstract: Traffic flow fluctuation and traffic signal interruption result in turn delay variations at signalized intersections. Such variations can significantly contribute to road users’ travel time uncertainties and affect their route choices in congested urban areas. A reliability-based stochastic user equilibrium (RSUE) model is proposed to investigate the effects of turn delay uncertainties on the route choice problem. In the proposed model, link travel times and turn delays are considered as correlated random variables with covariance relationships. Differences in these variables are mainly due to uncertainties at signalized intersections and day-to-day fluctuations in demand. Given these uncertainties, the concept of effective travel time is adopted to model the route choice behaviors of road users. The RSUE model also considers the perception errors of road users on effective travel times. A path-based solution algorithm is adapted to solve the RSUE problem. Finally, a numerical example illustrates the application of the proposed model and solution algorithm. Sensitivity tests are used to demonstrate the potential use of the proposed model to assess the accident risks at signalized intersections with heavy turning flows.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2009
    detail.hit.zdb_id: 2403378-9
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
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