Collection Methodology

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Jeannette Montufar - One of the best experts on this subject based on the ideXlab platform.

  • A Methodology for Container Truck Traffic Data Collection for Inland Port Cities
    2020
    Co-Authors: Thomas Peter Baumgartner, Jeannette Montufar
    Abstract:

    This paper describes a container truck traffic data Collection Methodology for inland port cities. The data Collection Methodology is developed in response to a lack of data sources to estimate urban container truck traffic volumes. The Methodology is sensitive to the unique characteristics of container truck traffic and is one component of on-going research to develop a container trucking model for inland port cities in the Canadian Prairie Region. This model is intended to assist transportation engineers understand the impact of container trucking in their cities and reveal issues that should be considered in defining, evaluating, and choosing among alternative options to improve container freight transportation in urban areas. This data Collection Methodology consists of (i) shipper and carrier characterization, (ii) database acquisition, and (iii) the design of the container truck data Collection program. Existing databases are municipal truck turning movement counts, permanent traffic counts, and provincial/state level border crossing data. The data Collection program performs short-term manual truck classification intersection turning movement counts which are guided by recommendations from the Federal Highway Administration’s Traffic Monitoring Guide. These counts obtain body type and axle configuration data for articulated trucks. The Methodology described in this paper offers a systematic approach to acquire container truck traffic data and a process to validate the data and results of the container truck model. Container truck traffic volumes are estimated using the data from this Methodology and shown on a flow map. Although traffic flow discontinuities are evident on certain links due to data gaps, the container truck traffic volumes are proven to be reasonable and support the validity of the data Collection Methodology. This Methodology is developed for Winnipeg, Manitoba and other Canadian Prairie cities but is generally applicable to similar inland port cities in other jurisdictions.

  • data Collection Methodology for container truck traffic in inland port cities
    Transportation Research Record, 2011
    Co-Authors: Garreth Rempel, Thomas Peter Baumgartner, Jeannette Montufar
    Abstract:

    This paper describes a data Collection Methodology to address insufficient data sources for estimation of urban container truck traffic (drayage) volumes. The Methodology is sensitive to the characteristics of drayage and offers a systematic approach for acquiring container truck traffic data for constructing models to estimate drayage volumes. The Methodology consists of (a) acquiring urban truck traffic estimates and national and provincial- or state-level container traffic databases, (b) characterizing shippers and carriers through field investigations and surveys, and (c) designing a container truck data Collection program. Short-term manual truck classification intersection turning movement counts were conducted to obtain body style and axle configuration data for articulated trucks. Temporal expansion factors were developed and applied to short-term count data to produce average daily container truck traffic volume estimates and reveal temporal, physical, and spatial distribution differences between...

Kellian Clink - One of the best experts on this subject based on the ideXlab platform.

Garreth Rempel - One of the best experts on this subject based on the ideXlab platform.

  • data Collection Methodology for container truck traffic in inland port cities
    Transportation Research Record, 2011
    Co-Authors: Garreth Rempel, Thomas Peter Baumgartner, Jeannette Montufar
    Abstract:

    This paper describes a data Collection Methodology to address insufficient data sources for estimation of urban container truck traffic (drayage) volumes. The Methodology is sensitive to the characteristics of drayage and offers a systematic approach for acquiring container truck traffic data for constructing models to estimate drayage volumes. The Methodology consists of (a) acquiring urban truck traffic estimates and national and provincial- or state-level container traffic databases, (b) characterizing shippers and carriers through field investigations and surveys, and (c) designing a container truck data Collection program. Short-term manual truck classification intersection turning movement counts were conducted to obtain body style and axle configuration data for articulated trucks. Temporal expansion factors were developed and applied to short-term count data to produce average daily container truck traffic volume estimates and reveal temporal, physical, and spatial distribution differences between...

C Bandaragoda - One of the best experts on this subject based on the ideXlab platform.

  • data Collection Methodology for dynamic temperature model testing and corroboration
    Hydrological Processes, 2009
    Co-Authors: Bethany T Neilson, David K Stevens, Steven C Chapra, C Bandaragoda
    Abstract:

    This article describes a data Collection approach for determining the significance of individual heat fluxes within streams with an emphasis on testing (i.e. identification of possible missing heat fluxes), development, calibration and corroboration of a dynamic temperature model. The basis for developing this approach was a preliminary temperature modelling effort on the Virgin River in southwestern Utah during a low-flow period that suggested important components of the energy balance might be missing in the original standard surface-flux temperature model. Possible missing heat fluxes were identified as bed conduction, hyporheic exchange, dead zone warming and exchange and poor representation of the amount of solar radiation entering the water column. To identify and estimate the relative importance of the missing components, a comprehensive data Collection effort was developed and implemented. In particular, a method for measuring shortwave radiation behaviour in the water column and an in situ method for separating out bed conduction and hyporheic influences were established. The resulting data and subsequent modelling effort indicate that hyporheic and dead zone heat fluxes are important, whereas solar radiation reflection at the water surface was found to be insignificant. Although bed conduction can be significant in certain rivers, it was found to have little effect on the overall heat budget for this section of the Virgin River. Copyright © 2009 John Wiley & Sons, Ltd.

  • data Collection Methodology for dynamic temperature model testing and corroboration
    Hydrological Processes, 2009
    Co-Authors: Bethany T Neilson, David K Stevens, Steven C Chapra, C Bandaragoda
    Abstract:

    This article describes a data Collection approach for determining the significance of individual heat fluxes within streams with an emphasis on testing (i.e. identification of possible missing heat fluxes), development, calibration and corroboration of a dynamic temperature model. The basis for developing this approach was a preliminary temperature modelling effort on the Virgin River in southwestern Utah during a low-flow period that suggested important components of the energy balance might be missing in the original standard surface-flux temperature model. Possible missing heat fluxes were identified as bed conduction, hyporheic exchange, dead zone warming and exchange and poor representation of the amount of solar radiation entering the water column. To identify and estimate the relative importance of the missing components, a comprehensive data Collection effort was developed and implemented. In particular, a method for measuring shortwave radiation behaviour in the water column and an in situ method for separating out bed conduction and hyporheic influences were established. The resulting data and subsequent modelling effort indicate that hyporheic and dead zone heat fluxes are important, whereas solar radiation reflection at the water surface was found to be insignificant. Although bed conduction can be significant in certain rivers, it was found to have little effect on the overall heat budget for this section of the Virgin River.

Thomas Peter Baumgartner - One of the best experts on this subject based on the ideXlab platform.

  • A Methodology for Container Truck Traffic Data Collection for Inland Port Cities
    2020
    Co-Authors: Thomas Peter Baumgartner, Jeannette Montufar
    Abstract:

    This paper describes a container truck traffic data Collection Methodology for inland port cities. The data Collection Methodology is developed in response to a lack of data sources to estimate urban container truck traffic volumes. The Methodology is sensitive to the unique characteristics of container truck traffic and is one component of on-going research to develop a container trucking model for inland port cities in the Canadian Prairie Region. This model is intended to assist transportation engineers understand the impact of container trucking in their cities and reveal issues that should be considered in defining, evaluating, and choosing among alternative options to improve container freight transportation in urban areas. This data Collection Methodology consists of (i) shipper and carrier characterization, (ii) database acquisition, and (iii) the design of the container truck data Collection program. Existing databases are municipal truck turning movement counts, permanent traffic counts, and provincial/state level border crossing data. The data Collection program performs short-term manual truck classification intersection turning movement counts which are guided by recommendations from the Federal Highway Administration’s Traffic Monitoring Guide. These counts obtain body type and axle configuration data for articulated trucks. The Methodology described in this paper offers a systematic approach to acquire container truck traffic data and a process to validate the data and results of the container truck model. Container truck traffic volumes are estimated using the data from this Methodology and shown on a flow map. Although traffic flow discontinuities are evident on certain links due to data gaps, the container truck traffic volumes are proven to be reasonable and support the validity of the data Collection Methodology. This Methodology is developed for Winnipeg, Manitoba and other Canadian Prairie cities but is generally applicable to similar inland port cities in other jurisdictions.

  • data Collection Methodology for container truck traffic in inland port cities
    Transportation Research Record, 2011
    Co-Authors: Garreth Rempel, Thomas Peter Baumgartner, Jeannette Montufar
    Abstract:

    This paper describes a data Collection Methodology to address insufficient data sources for estimation of urban container truck traffic (drayage) volumes. The Methodology is sensitive to the characteristics of drayage and offers a systematic approach for acquiring container truck traffic data for constructing models to estimate drayage volumes. The Methodology consists of (a) acquiring urban truck traffic estimates and national and provincial- or state-level container traffic databases, (b) characterizing shippers and carriers through field investigations and surveys, and (c) designing a container truck data Collection program. Short-term manual truck classification intersection turning movement counts were conducted to obtain body style and axle configuration data for articulated trucks. Temporal expansion factors were developed and applied to short-term count data to produce average daily container truck traffic volume estimates and reveal temporal, physical, and spatial distribution differences between...