GLORIA

GEOMAR Library Ocean Research Information Access

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
  • Mobility and traffic research  (3)
Material
Publisher
Language
Years
FID
  • Mobility and traffic research  (3)
  • 1
    Online Resource
    Online Resource
    SAGE Publications ; 2014
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2442, No. 1 ( 2014-01), p. 20-28
    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
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2014
    detail.hit.zdb_id: 2403378-9
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 2
    Online Resource
    Online Resource
    SAGE Publications ; 2007
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2026, No. 1 ( 2007-01), p. 30-38
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2026, No. 1 ( 2007-01), p. 30-38
    Abstract: Expansive clay soils have caused significant damage throughout the world. Chemical stabilizing agents have been used to reduce the swell of expansive clay soils, but the effect of chemical treatment on the matric and osmotic suction of soils has not been investigated previously. Two subject soils were chosen to study soil suction and the behavior of chemically treated clay. One soil, with high swell potential, was from Irving, Texas. The other soil, with moderate swell potential, was from Slater, Missouri. Hydrated lime and KIS (a proprietary solution containing potash and ammonium lignosulfonate) were used as chemical stabilizers. Select physical and chemical properties of these soils before and after reacting with chemical stabilizers were determined. Total suction, matric suction, and osmotic suction were determined with the use of a dewpoint potentiometer (WP4) and an electrical conductivity probe. Matric suction arises from capillary forces, soil texture, and adsorption forces of clay. Osmotic suction results from the balance of salt concentrations in soil water. When the soils reacted with chemical stabilizers, the osmotic suction increased because of the ion concentrations in the soil. Practical methods were used to determine the osmotic and matric suction of natural soils and of chemically treated soils. Soil suction was correlated with other clay soil properties. Practical methods to separate soil suction parameters were used, and the validity of soil suction to predict chemically treated clay behavior was found to be problematic.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2007
    detail.hit.zdb_id: 2403378-9
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 3
    Online Resource
    Online Resource
    SAGE Publications ; 2018
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2672, No. 10 ( 2018-12), p. 215-223
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2672, No. 10 ( 2018-12), p. 215-223
    Abstract: Train operations are subject to stochastic variations, reducing service punctuality and thus the quality of service (QoS). Models of such variations are needed to evaluate and predict the potential impact of disturbances and to avoid service punctuality reduction in train service management and timetabling. In this paper, through a case study of the Wuhan–Guangzhou (WH–GZ) high-speed rail (HSR), we show how a wealth of train operation records can be used to model the stochastic nature of train operations at each level, section and station. Specifically, we examine different distribution models for running times of individual sections and show that the Log-logistic probability density function is the best distributional form to approximate the empirical distribution of running times on the specified line. Next, we show that the distribution of running times in each section can be used to accurately infer arrival delays. Consequently, we construct the underlying analytical model and derive the respective arrival delay distribution at the downstream stations. The results support the correctness of the model presented and show that the proposed model is suitable for constructing the distribution of arrival delays at every station of the specified line. We show that the integrated distribution models of running times and arrival delays, driven by empirical data, can also be used to evaluate the QoS at individual track sections.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2018
    detail.hit.zdb_id: 2403378-9
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...