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ENHANCEMENT OF TRANSPORTATION NETWORK ANALYSIS TOOLS FOR TRUCK-RELATED PLANNING AND OPERATIONS

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Date Issued:
2019
Summary:
Freeway network analysis tools often use simplified link performance functions to relate travel time to traffic demand. Such functions are typically not sensitive to the level of commercial truck presence in the traffic stream are therefore of limited value in analyzing freeway network level operational policies that need to explicitly consider commercial truck traffic (e.g., truck lane restrictions or truck-only lanes). Furthermore, travel time reliability (TTR) is taking on increased emphasis in traffic operations analyses. Microsimulation is a tool that can potentially be used for network-level analyses, but when combined with TTR analysis, the computational burden can be problematic. The Highway Capacity Manual (HCM) freeway facility TTR analysis methodology is less computationally intensive than microsimulation and is more sensitive to traffic stream vehicle composition than typical network analysis link performance functions. However, this methodology is currently only applicable at the facility, not network, level. This project extends the HCM freeway TTR analysis methodology to the network level by integrating user equilibrium (UE) traffic assignment. The proposed freeway network TTR analysis methodology generates scenarios that represent the impacts of origin-destination (OD) demand variation, weather events, incident events, and work zone events on the freeway network. For each scenario, UE traffic assignment is performed for the freeway network, and the method of successive average (MSA) is applied to solve the UE traffic assignment. Travel times (and/or other performance measures) obtained from all the scenarios are aggregated into various distributions of interest, such as the network-, facility-, and OD-level distributions, and TTR performance measures are calculated at the three different levels. In addition, a software tool was developed based on the revision and integration of two existing software programs. The software tool provides a convenient and efficient approach for transportation planners and researchers to conduct the freeway network TTR analysis methodology.
Title: ENHANCEMENT OF TRANSPORTATION NETWORK ANALYSIS TOOLS FOR TRUCK-RELATED PLANNING AND OPERATIONS.
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Name(s): Washburn, Scott S., author
Sun, Wei
Freight Mobility Research Institute
Type of Resource: text
Genre: Report
Date Created: 2019
Date Issued: 2019
Publisher: Florida Atlantic University
Place of Publication: Boca Raton, FL
Physical Form: application/pdf
Extent: 54 P.
Language(s): English
Summary: Freeway network analysis tools often use simplified link performance functions to relate travel time to traffic demand. Such functions are typically not sensitive to the level of commercial truck presence in the traffic stream are therefore of limited value in analyzing freeway network level operational policies that need to explicitly consider commercial truck traffic (e.g., truck lane restrictions or truck-only lanes). Furthermore, travel time reliability (TTR) is taking on increased emphasis in traffic operations analyses. Microsimulation is a tool that can potentially be used for network-level analyses, but when combined with TTR analysis, the computational burden can be problematic. The Highway Capacity Manual (HCM) freeway facility TTR analysis methodology is less computationally intensive than microsimulation and is more sensitive to traffic stream vehicle composition than typical network analysis link performance functions. However, this methodology is currently only applicable at the facility, not network, level. This project extends the HCM freeway TTR analysis methodology to the network level by integrating user equilibrium (UE) traffic assignment. The proposed freeway network TTR analysis methodology generates scenarios that represent the impacts of origin-destination (OD) demand variation, weather events, incident events, and work zone events on the freeway network. For each scenario, UE traffic assignment is performed for the freeway network, and the method of successive average (MSA) is applied to solve the UE traffic assignment. Travel times (and/or other performance measures) obtained from all the scenarios are aggregated into various distributions of interest, such as the network-, facility-, and OD-level distributions, and TTR performance measures are calculated at the three different levels. In addition, a software tool was developed based on the revision and integration of two existing software programs. The software tool provides a convenient and efficient approach for transportation planners and researchers to conduct the freeway network TTR analysis methodology.
Identifier: FAUIR000430 (IID)
Subject(s): Freight Research
Freight and freightage
Freight transportation
Persistent Link to This Record: http://purl.flvc.org/fau/fd/FAUIR000430
Use and Reproduction: Copyright © is held by the author(s) Freight Mobility Research Institute with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder.
Host Institution: FAU
Is Part of Series: Florida Atlantic University Digital Library Collections.

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