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Urban Freight Lab

Research Topic: Truck Travel Time Performance Measurement and Modeling

Truck travel times measure the flow of freight and identify speed trends over time. They are valuable for assessing the efficiency and performance of transportation systems and are essential for planning, designing, and building better transportation facilities.

Presentation

Development and Application of a Framework to Classify and Mitigate Truck Bottlenecks to Improve Freight Mobility

 
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URL: https://trid.trb.org/view/1494739
Publication: Transportation Research Record: Journal of the Transportation Research Board
Volume: TRN Annual Meeting
Publication Date: 2018
Summary:

This paper presents a framework to classify and mitigate roadway bottlenecks and that is designed to improve freight mobility. This is in recognition that roadway operations for trucks are under studied, truck-only bottlenecks are often not identified and freight-specific problem areas are therefore often overlooked. The framework uses four-steps:

Step 1: identifies and locates the roadway sections where vehicle travel time is in excess of what would normally occur.

Step 2: made possible by increasingly available truck probe data, identifies bottlenecks for all vehicles or for trucks only. This is necessary to identify bottlenecks that notably impact freight mobility and might not be identified by car-based approaches.

Step 3: classifies bottlenecks as travel speed-based or process-based. This selects the mitigation treatments as mainly due to operational or roadway limitations.

Step 4: which is the core of the paper, supports the mitigation process by determining the cause of the bottleneck. The bottlenecks are identified as due to congestion, limitations where roadway design slows all vehicles, or where a truck’s size or weight can slow vehicles (such as tight curves or bridge restrictions).

The paper present a review of specific roadway attributes that limit a truck’s mobility and is used to suggest mitigation. The framework is demonstrated using a case study. The framework is designed to be applied by planning and infrastructure agencies who want to locate and address freight bottlenecks in a systematic manner using available resources as well as by researchers interested in linking roadway attributes to truck mobility.

Authors: Dr. Ed McCormackDr. Anne Goodchild, William Eisele, Mark Hallenbeck
Recommended Citation:
McCormack, Edward, Anne Goodchild, W. Eisele, and Mark Hallenbeck. "Development and Application of a Framework to Classify and Mitigate Truck Bottlenecks to Improve Freight Mobility." TRN Annual Meeting, Washington D.C. 2018.
Paper

Double Girder Bridge Crane with Double Cycling: Scheduling Strategy and Performance Evaluation

 
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URL: http://dx.doi.org/10.1155/2014/418689
Publication: Journal of Applied Mathematics
Volume: 2014 (3)
Pages: 12-Jan
Publication Date: 2014
Summary:

This paper introduces a novel quay crane design, a double girder bridge crane (DGBC). DGBC is capable of handling containers of two adjacent bays simultaneously, avoiding crane collisions, saving traveling and repositioning costs, and eventually improving terminal efficiency.

This problem is formulated as a resource-constrained project scheduling to minimize the maximum completion time. A two-stage heuristic algorithm is proposed in which an operating sequence on each bay is obtained by double cycling, and the integrated timetable for both bays is constructed by solving resource conflicts using the proposed minimum cost strategy. We examine effectiveness and performance of applying DGBC with double cycling.

A case study is presented to illustrate how DGBC works with the two-stage method. Three extreme cases with respective conflict types are investigated to develop the performance bounds of DGBC with double cycling.

The results show that DGBC can significantly improve terminal productivity, and outperforms single girder crane in both makespan and the lift operation percentage. The highest DGBC efficiency does not require maximum double cycles in two bay schedules; rather the integrated timetable for two bays is the main contribution to the DGBC performance as it yields better cooperation between two spreaders and the driver.

Authors: Dr. Anne Goodchild, Dandan Wang, Xiaoping Li, and Zun Wang
Recommended Citation:
Wang, Dandan, Anne Goodchild, Xiaoping Li, and Zun Wang. "Double girder bridge crane with double cycling: Scheduling strategy and performance evaluation." Journal of Applied Mathematics 2014 (2014). 
Technical Report

Developing a GPS-Based Truck Freight Performance Measure Platform

 
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URL: https://rosap.ntl.bts.gov/view/dot/18003
Publication: TransNow, Transportation Northwest, U.S. Department of Transportation, University Transportation Centers Program.
Publication Date: 2010
Summary:

Although trucks move the largest volume and value of goods in urban areas, relatively little is known about their travel patterns and how the roadway network performs for trucks. The Washington State Department of Transportation (WSDOT), Transportation Northwest (TransNow) at the University of Washington, and the Washington Trucking Associations have partnered on a research effort to collect and analyze global positioning system (GPS) truck data from commercial, in-vehicle, truck fleet management systems used in the central Puget Sound region. The research project is collecting commercially available GPS data and evaluating their feasibility to support a state truck freight network performance monitoring program.

WSDOT is interested in using this program to monitor truck travel times and system reliability and to guide freight investment decisions. The researchers reviewed truck freight performance measures that could be extracted from the data and that focused on travel times and speeds, which, analyzed over time, determine a roadway system’s reliability. The utility of spot speeds and the GPS data, in general, was evaluated in a case study of a three-week construction project on the Interstate-90 bridge. The researchers also explored methods for capturing regional truck travel performance.

Although trucks move the largest volume and value of goods in urban areas, relatively little is known about their travel patterns and how the roadway network performs for trucks. Global positioning systems (GPS) used by trucking companies to manage their equipment and staff and meet shippers’ needs capture truck data that are now available to the public sector for analysis. The Washington State Department of Transportation (WSDOT), Transportation Northwest
(TransNow) at the University of Washington (UW), and the Washington Trucking Associations (WTA) have partnered on a research effort to collect and analyze GPS truck data from commercial, in-vehicle, truck fleet management systems used in the central Puget Sound region. The research project is collecting commercially available GPS data and evaluating their feasibility to support a state truck freight network performance monitoring program. WSDOT is interested in using this program to monitor truck travel times and system reliability and to guide freight investment decisions.

  • The success of the truck freight performance measurement program will depend on developing the capability to
    efficiently collect and process GPS devices’ output
    extract useful truck travel time and speed, roadway location, and stop location information and
    protect the identity of the truckers and their travel information so that business-sensitive information is not released.

While earlier studies have evaluated commercial vehicles’ travel characteristics by using GPS devices, these researchers did not have access to commercial fleet data and had to estimate corridor travel speeds from a limited number of portable GPS units capable of making frequent (1-to-60-second) location reads (Quiroga and Bullock 1998, Greaves and Figliozzi 2008, Due and Aultman-Hall 2007). This read frequency permitted a fine-grained analysis of truck movements on specific segments of the road network but did not provide enough data points to reliably track regional or corridor network performance.

This research project is taking a different approach. The data analyzed in this project are drawn from GPS devices installed to meet the trucking sector’s fleet management needs. So the truck locations are collected less frequently (typically every 5 to 15 minutes) but are gathered from a much larger number of trucks over a long period of time. The researchers are collecting data from 2,000 to 3,000 trucks per day for one year in the central Puget Sound region.

This report discusses the steps taken to build, clean, and test the data collection and analytic foundation from which the UW and WSDOT will extract network-based truck performance statistics. One of the most important steps of the project has been to obtain fleet management GPS data from the trucking industry. Trucking companies approached by WSDOT and the UW at the beginning of the study readily agreed to share their GPS data, but a lack of technical support from the
firms made data collection difficult. The researchers overcame that obstacle by successfully negotiating contracts with GPS and telecom vendors to obtain GPS truck reads in the study region. The next challenge was to gather and format the large quantities of data (millions of points) from different vendors’ systems so that they could be manipulated and evaluated by the project team. Handling the large quantity of data meant that data processing steps had to be automated,
which required the development and validation of rule-based logic that could be used to develop algorithms.

Because a truck performance measures program will ultimately monitor travel generated by trucks as they respond to shippers’ business needs, picking up goods at origins (O) and dropping them off at destinations (D), the team developed algorithms to extract individual truck’s O/D information from the GPS data. The researchers mapped (geocoded) each truck’s location (as expressed by a GPS latitude and longitude) to its actual location on the Puget Sound region’s roadway
network and to traffic analysis zones (TAZs) used for transportation modeling and planning.

The researchers reviewed truck freight performance measures that could be extracted from the data and that focused on travel times and speeds, which, analyzed over time, determine a roadway system’s reliability. Because the fleet management GPS data from individual trucks typically consist of infrequent location reads, making any one truck an unreliable probe vehicle, the researchers explored whether data from a larger quantity of trucks could compensate for infrequent location reads. To do this, the project had to evaluate whether the spot (instantaneous) speeds recorded by one truck’s GPS device could be used in combination with spot speeds from other trucks on the same portion of the roadway network.

The utility of spot speeds and the GPS data in general was evaluated in a case study of a three-week construction project on the Interstate-90 (I-90) bridge. The accuracy of the spot speeds was then validated by comparing the results with speed data from WSDOT’s freeway management loop system (FLOW).

The researchers also explored methods for capturing regional truck travel performance. The approach identified zones that were important in terms of the number of truck trips that were generated. Trucks’ travel performance as they traveled between these economic zones could then be monitored over time and across different times of day.

Authors: Dr. Ed McCormack, Xiaolei Ma, Charles Klocow, Anthony Curreri, Duane Wright
Recommended Citation:
McCormack, Edward D., Xiaolei Ma, Charles Klocow, Anthony Curreri and Duane Wright. “Developing a GPS-Based Truck Freight Performance Measure Platform.” (2010).
Paper

Review of Performance Metrics for Community-Based Planning for Resilience of the Transportation System

 
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URL: https://doi.org/10.3141/2604-06
Publication:  Transportation Research Record: Journal of the Transportation Research Board
Volume: 2604
Pages: 44-53
Publication Date: 2017
Summary:

Community resilience depends on the resilience of the lifeline infrastructure and the performance of the disaster-related functions of local governments. State and federal resilience plans and guidelines acknowledge the importance of the transportation system as a critical lifeline in planning for community resilience and in helping local governments to set recovery goals. However, a widely accepted definition of the resilience of the transportation system and a structure for its measurement are not available. This paper provides a literature review that summarizes the metrics used to assess the resilience of the transportation system and a categorization of the assessment approaches at three levels of analysis (the asset, network, and systems levels). Furthermore, this paper ties these metrics to relevant dimensions of community resilience. This work addresses a key first step required to enhance the efficiency of planning related to transportation system resilience by providing (a) a standard terminology with which efforts to enhance the resilience of the transportation system can be developed, (b) an approach to organize planning and research efforts related to the resilience of the transportation system, and (c) identification of the gaps in measurement of the performance of the resilience of the transportation system.

Authors: Dr. Anne GoodchildJosé Luis Machado León
Recommended Citation:
Machado, Jose Luis, and Anne Goodchild. Review of Performance Metrics for Community-Based Planning for Resilience of the Transportation System. Transportation Research Record: Journal of the Transportation Research Board, Transportation Research Record, 2604(1), 44–53. https://doi.org/10.3141/2604-06
Paper

GPS Data Analysis of the Impact of Tolling on Truck Speed and Routing: A Case Study in Seattle, WA

 
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URL: https://doi.org/10.3141/2411-14
Publication: Journal of the Transportation Research Board
Volume: 2411:01:00
Pages: 112-119
Publication Date: 2014
Summary:

Roadway tolls are designed to raise revenue to fund transportation investments and manage travel demand and as such may affect transportation system performance and route choice. Yet, limited research has quantified the impact of tolling on truck speed and route choice because of the lack of truck-specific movement data. Most existing tolling impact studies rely on surveys in which drivers are given several alternative routes and their performance characteristics and asked to estimate route choices. The limitations of such an approach are that the results may not reflect actual truck route choices and the surveys are costly to collect. The research described in this paper used truck GPS data to observe empirical responses to tolling, following the implementation of a toll on the State Route 520 (SR-520) bridge in Seattle, Washington. Truck GPS data were used to evaluate route choice and travel speed along SR-520 and the alternate toll-free Route I-90. It was found that truck travel speed on SR-520 improved after tolling, although travel speed on the alternative toll-free Route I-90 decreased during the peak period. A set of logit models was developed to determine the influential factors in truck routing. The results indicated that travel time, travel time reliability, and toll rate were all influential factors during peak and off-peak periods. The values of truck travel time during various time periods were estimated, and it was found that the values varied with the definition of peak and off-peak periods.

Authors: Dr. Anne Goodchild, Zun Wang
Recommended Citation:
Wang, Zun, and Anne V. Goodchild. “GPS Data Analysis of the Impact of Tolling on Truck Speed and Routing.” Transportation Research Record: Journal of the Transportation Research Board, vol. 2411, no. 1, 2014, pp. 112–119., doi:10.3141/2411-14.
Technical Report

Using Truck Fleet Management GPS Data to Develop the Foundation for a Performance Measures Program

 
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URL: https://www.semanticscholar.org/paper/GPS-TRUCK-DATA-PERFORMANCE-MEASURES-PROGRAM-IN-McCormack-Zhao/e7cc0d0f3dad88155cf5eec766da4aba3ef76411
Publication: Washington State Transportation Center (TRAC)
Publication Date: 2011
Summary:

Global positioning systems (GPS) used for fleet management by trucking companies provide probe data that can support a truck performance-monitoring program. This paper discusses the steps taken to acquire fleet management data and then process those data so they can eventually be used for a network-based truck performance measures program. While other studies have evaluated truck travel by using GPS, they have used a limited number of project-specific and temporary devices that have collected frequent location reads, permitting a fine-grained performance analysis of specific roadway segments. In contrast, this fleet management GPS data project involved infrequent reads but a relatively large number of different trucks with ongoing data collection. The most effective approach to obtaining the fleet management data was to purchase the data directly from GPS vendors. Because a performance measures program ultimately monitors trips generated by trucks as they travel between origins and destinations, an algorithm was developed to extract trip end information from the data. The large volume of data required automated processing without manual intervention. Because performance measures require travel times and speeds, it was also necessary to evaluate whether speed data from a large number of trucks could compensate for infrequent location reads. Spot speeds recorded by the trucks’ GPS devices were compared to speed data from roadway loops. The researchers concluded that spot speed data can indicate free flow conditions, but sufficient quantities of data are probably necessary to measure congested travel.

 

Authors: Dr. Ed McCormack, Wenjuan Zhao
Recommended Citation:
McCormack, E. D., Zhao, W., & Tabat, D. (2011). GPS truck data performance measures program in Washington State. Washington State Department of Transportation, Office of Research. 
Student Thesis and Dissertations

An Evaluation of Engineering Treatments and Pedestrian and Motorist Behavior on Major Arterials in Washington State

URL: https://www.wsdot.wa.gov/research/reports/fullreports/707.1.pdf
Publication: Washington State Transportation Center (TRAC)
Publication Date: 2008
Summary:

This report examines pedestrian and motorist behavior on arterials in Washington State and determines how, if at all, these behaviors change when various engineering treatments are applied. The treatments that were examined included crosswalk markings, raised medians, in-pavement flashers, signage, stop bars, overhead lighting, and sidewalks. The relationships between pedestrian travel and transit use, origin-destination patterns, traffic signals, and schools were also explored.

The study examined seven locations in the state of Washington. These were State Route (SR) 7 at South 180th Street in Spanaway, SR 99 at South 152nd Street in Shoreline, SR 99 at South 240th Street in Kent, SR 2 between South Lundstrom and King Streets in Airway Heights, SR 2 at Lacrosse Street in Spokane, SR 2 at Rowan Avenue in Spokane, and SR 2 at Wellesley Avenue in Spokane.

Because pedestrian-vehicle collisions are rare when specific locations are studied, other criteria were used to evaluate the conditions and behaviors that were present. These included “conflicts” such as running behavior, motorists having to brake unexpectedly to avoid a pedestrian, pedestrians waiting in the center lane to cross, and more. These unreported, but very common, occurrences enabled the researchers to gain a better understanding of both pedestrian and motorist concerns and behaviors and the effects that improvements might have.

The study concludes that the causes of conflicts are highly varied: ignorance of or noncompliance with the law (by the motorist or the pedestrian), inattention, vehicles following too closely, impatience, anxiety in attempting to catch a bus, use or non-use of pedestrian facilities, placement of features in the built environment, and more. While pedestrian/motorist interaction improves with improved visibility (something which can be obtained through better engineering design and the removal of visual clutter) better education and/or enforcement will also be needed to achieve significant safety benefits.

Authors: Katherine D. Davis, Mark E. Hallenbeck
Recommended Citation:
Katherine D. Davis, Mark E. Hallenbeck. An Evaluation of Engineering Treatments and Pedestrian and Motorist Behavior on Major Arterials in Washington State. Washington State Transportation Center (TRAC), 2008.
Thesis: Array
Paper

ITS Devices Used to Collect Truck Data for Performance Benchmarks

 
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URL: https://journals.sagepub.com/doi/10.1177/0361198106195700107
Publication: Transportation Research Record
Volume: 1957
Pages: 43-50
Publication Date: 2006
Summary:

This paper documents the development of data collection methodologies that can be used to measure truck movements along specific roadway corridors in Washington State cost-effectively. The intent of this study was to design and test methodologies that could provide information to ascertain the performance of freight mobility roadway improvement projects. The benchmarks created would be used to report on speed and volume improvements that resulted from completed roadway projects. One technology tested consisted of Commercial Vehicle Information System and Networks electronic truck transponders, which were mounted on the windshields of approximately 30,000 trucks traveling in Washington. These transponders were used at weigh stations across the state to improve the efficiency of truck regulatory compliance checks. With transponder reads from sites anywhere in the state being linked through software, the transponder-equipped trucks can become a travel time probe fleet. The second technology tested involved Global Positioning Systems (GPS) placed in volunteer trucks to collect specific truck movement data at 5-s intervals. GPS data made it possible to locate when and where monitored trucks experienced congestion. With this information aggregated over time, it was possible to generate performance statistics related to the reliability of truck trips and even to examine changes in route choice for trips between high-volume origin-destination pairs. The study found that both data collection technologies could be useful; however, the key to either technology is whether enough instrumented vehicles pass over the roadways for which data are required.

Authors: Dr. Ed McCormack, Mark Hallenbeck
Recommended Citation:
McCormack, Edward & Hallenbeck, Mark. (2006). ITS Devices Used to Collect Truck Data for Performance Benchmarks. Transportation Research Record. 1957. 43-50. 10.3141/1957-07. 
Paper

Options for Benchmarking Performance Improvements Achieved from Construction of Freight Mobility Projects

 
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URL: https://secure.engr.oregonstate.edu/wiki/transportation/uploads/ODOT-Multimodal/Mccormack2005.pdf
Publication: Washington State Transportation Center (TRAC)
Publication Date: 2006
Summary:
This report documents the development of data collection methodologies that can be used to cost effectively measure truck movements along specific roadway corridors selected by transportation agencies in Washington State. The intent of this study was to design and test methodologies that could be used to measure the performance of freight mobility roadway improvement projects against benchmarks, or selected standards, that would be used both as part of the project selection process and to report on speed and volume improvements that resulted from completed freight mobility projects.
One technology tested was Commercial Vehicle Information System and Networks (CVISN) electronic truck transponders, which are mounted on the windshields of approximately 20,000 trucks in Washington. By using software to link the transponder reads from sites anywhere in the state, the transponder-equipped trucks could become a travel-time probe fleet. The second technology tested involved global positioning systems (GPS) placed in volunteer trucks to collect specific truck movement data at 5-second intervals. With GPS data it was possible to understand when and where the monitored trucks experienced congestion and to generate useful performance statistics.
The study found that both data collection technologies could be useful; however, the key to both technologies is whether enough instrumented vehicles pass over the roadways for which data are required. This basic condition affects whether the technologies will be effective at collecting the data required for any given benchmark project. The report also recommends the traffic data that should be collected for a benchmark program and the potential costs of using either data collection technology.

 

 

Authors: Dr. Ed McCormack, Mark Hallenbeck
Recommended Citation:
McCormack, E. D., & Hallenbeck, M. E. (2005). Options for Benchmarking Performance Improvements Achieved from Construction of Freight Mobility Projects. (No. WA-RD 607.1). Washington State Department of Transportation.
Student Thesis and Dissertations

Emissions, Cost, and Customer Service Trade-off Analyses in Pickup and Delivery Systems

URL: https://orbiscascade-washington.primo.exlibrisgroup.com/permalink/01ALLIANCE_UW/1juclfo/alma99149478340001452
Publication Date: 2011
Summary:

As commercial vehicle activity grows, the environmental impacts of these movements have increasing negative effects, particularly in urban areas. The transportation sector is the largest producer of CO2 emissions in the United States, by end-use sector, accounting for 32% of CO2 emissions from fossil fuel combustion in 2008. Medium and heavy-duty trucks account for close to 22% of CO2 emissions within the transportation sector, making systems using these vehicles key contributors to air quality problems. An important well-known type of such systems is the “pickup and delivery” in which a fleet of vehicles pickups and/or delivers goods from customers.

Companies operating fleet of vehicles reduce their cost by efficiently designing the routes their vehicles follow and the schedules at which customers will be visited. This principle especially applies to pickup and delivery systems. Customers are spread out in urban regions or are located in different states which makes it critical to efficiently design the routes and schedules vehicles will follow. So far, a less costly operation has been the main focus of these companies, particularly pickup and delivery systems, and less attention has been paid to understand how cost and emissions relate and how to directly reduce the environmental impacts of their transportation activities. This is the research opportunity that motivates the present study.

While emissions from transportation activities are mostly understood broadly, this research looks carefully at relationships between cost, emissions and service quality at an individual-fleet level. This approach enables evaluation of the impact of a variety of internal changes and external policies based on different time window schemes, exposure to congestion, or impact of CO2 taxation. It this makes it possible to obtain particular and valuable insights from the changes in the relationship between cost, emissions and service quality for different fleet characteristics.

In an effort to apply the above approach to real fleets, two different case studies are approached and presented in this thesis. Each of these cases has significant differences in their fleet composition, customers’ requirements and operational features that provide this research with the opportunity to explore different scenarios.

Three research questions guide this research. They are explained in more detailed below. The present study does not seek to provide a conclusive answer for each of the research questions but does shed light on general insights and relationships for each of the different features presented in the road network, fleet composition, and customer features.

In summary, this research provides a better understanding of the relationships between fleet operating costs, emissions reductions and impacts on customer service. The insights are useful for companies trying to develop effective emission-reduction strategies. Additionally, public agencies can use these results to develop emissions reductions policies.

Authors: Felipe Sandoval
Recommended Citation:
Sandoval, Felipe (2011). Emissions, Cost, and Customer Service Trade-off Analyses in Pickup and Delivery Systems, University of Washington Master's Degree Thesis.
Thesis: Array