This report summarizes the major themes discussed during a peer exchange on resilience in transportation planning and project development that the Federal Highway Administration (FHWA) and U.S. Environmental Protection Agency (EPA) Region 5 jointly organized and convened April 3–4, 2017 in Chicago, Illinois. The objective of the meeting was to fost
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United States. Federal Highway Administration (2017). Resilience and Transportation Planning and Project Development Peer Exchange: U.S. EPA Region 5: Chicago, Illinois, April 3-4, 2017 (Report No. FHWA-HEP-17-090). United States. Federal Highway Administration. https://rosap.ntl.bts.gov/view/dot/58289
United States. Federal Highway Administration. Resilience and Transportation Planning and Project Development Peer Exchange: U.S. EPA Region 5: Chicago, Illinois, April 3-4, 2017. Report no. FHWA-HEP-17-090. United States. Federal Highway Administration, 2017. https://rosap.ntl.bts.gov/view/dot/58289.
United States. Federal Highway Administration Resilience and Transportation Planning and Project Development Peer Exchange: U.S. EPA Region 5: Chicago, Illinois, April 3-4, 2017. United States. Federal Highway Administration, 2017, Report no. FHWA-HEP-17-090, ROSA P. https://rosap.ntl.bts.gov/view/dot/58289.
Source: Provided by ITS DataHub (its.dot.gov/data) through the National Transportation Library.The datasets in this zip file are in support of Intelligent Transportation Systems Joint Program Office (ITS JPO) report FHWA-JPO-16-385, "Analysis, Modeling, and Simulation (AMS) Testbed Development and Evaluation to Support Dynamic Mobility Applications
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DatasetSupporting Files
Yelchuru, B., Kamalanathsharma, R. K., & Mahmassani, H. S. (2017). Analysis, Modeling, and Simulation (AMS) Testbed Development and Evaluation to Support Dynamic Mobility Applications (DMA) and Active Transportation and Demand Management (ATDM) Programs — Summary Report for the Chicago Testbed [supporting datasets - Chicago Testbed] (Report No. FHWA-JPO-16-388). United States. Joint Program Office for Intelligent Transportation Systems. https://doi.org/10.21949/1503753
Yelchuru, Balaji, Raj Kishore Kamalanathsharma, and Hani S. Mahmassani. Analysis, Modeling, and Simulation (AMS) Testbed Development and Evaluation to Support Dynamic Mobility Applications (DMA) and Active Transportation and Demand Management (ATDM) Programs — Summary Report for the Chicago Testbed [supporting datasets - Chicago Testbed]. Report no. FHWA-JPO-16-388. United States. Joint Program Office for Intelligent Transportation Systems, 2017. https://doi.org/10.21949/1503753.
Yelchuru, Balaji, et al. Analysis, Modeling, and Simulation (AMS) Testbed Development and Evaluation to Support Dynamic Mobility Applications (DMA) and Active Transportation and Demand Management (ATDM) Programs — Summary Report for the Chicago Testbed [supporting datasets - Chicago Testbed]. United States. Joint Program Office for Intelligent Transportation Systems, 2017, Report no. FHWA-JPO-16-388, ROSA P. https://doi.org/10.21949/1503753.
The primary objective of this project is to develop multiple simulation testbeds and transportation models to evaluate the impacts of Connected Vehicle Dynamic Mobility Applications (DMA) and Active Transportation and Demand Management (ATDM) strategies. The results of this study project can be used by transportation agencies to identify and priori
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Yelchuru, B., Kamalanathsharma, R., Mahmassani, H. S., Hong, Z., Mittal, A., & Xu, X. (2017). Analysis, Modeling, and Simulation (AMS) Testbed Development and Evaluation to Support Dynamic Mobility Applications (DMA) and Active Transportation and Demand Management (ATDM) Programs : Evaluation Report for the Chicago Testbed (Report No. FHWA-JPO-16-387). United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office. https://rosap.ntl.bts.gov/view/dot/34769
Yelchuru, Balaji, Raj Kamalanathsharma, Hani S. Mahmassani, Zihan Hong, Archak Mittal, and Xiang Xu. Analysis, Modeling, and Simulation (AMS) Testbed Development and Evaluation to Support Dynamic Mobility Applications (DMA) and Active Transportation and Demand Management (ATDM) Programs : Evaluation Report for the Chicago Testbed. Report no. FHWA-JPO-16-387. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2017. https://rosap.ntl.bts.gov/view/dot/34769.
Yelchuru, Balaji, et al. Analysis, Modeling, and Simulation (AMS) Testbed Development and Evaluation to Support Dynamic Mobility Applications (DMA) and Active Transportation and Demand Management (ATDM) Programs : Evaluation Report for the Chicago Testbed. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2017, Report no. FHWA-JPO-16-387, ROSA P. https://rosap.ntl.bts.gov/view/dot/34769.
Successes in Stewardship is a Federal Highway Administration (FHWA) bimonthly newsletter highlighting current best practices in stewardship and environmental review from around the country.
United States. Federal Highway Administration (2017). Successes in Stewardship - Back to the Basics: Improving the Quality of Environmental Documentation. United States. Federal Highway Administration. https://rosap.ntl.bts.gov/view/dot/48758
United States. Federal Highway Administration. Successes in Stewardship - Back to the Basics: Improving the Quality of Environmental Documentation. United States. Federal Highway Administration, 2017. https://rosap.ntl.bts.gov/view/dot/48758.
United States. Federal Highway Administration Successes in Stewardship - Back to the Basics: Improving the Quality of Environmental Documentation. United States. Federal Highway Administration, 2017, ROSA P. https://rosap.ntl.bts.gov/view/dot/48758.
The Federal Highway Administration's (FHWA's) Fostering Multimodal Connectivity Newsletter is intended to provide transportation professionals with real-world examples of ways that multimodal transportation investments promote economic revitalization, provide access to jobs, and achieve safer communities through support of accelerated project deliv
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United States. Federal Highway Administration (2017). FHWA's Fostering Livable Communities Newsletter - April 2017 (Report No. FHWA-HEP-17-044). United States. Federal Highway Administration. https://rosap.ntl.bts.gov/view/dot/49090
United States. Federal Highway Administration. FHWA's Fostering Livable Communities Newsletter - April 2017. Report no. FHWA-HEP-17-044. United States. Federal Highway Administration, 2017. https://rosap.ntl.bts.gov/view/dot/49090.
United States. Federal Highway Administration FHWA's Fostering Livable Communities Newsletter - April 2017. United States. Federal Highway Administration, 2017, Report no. FHWA-HEP-17-044, ROSA P. https://rosap.ntl.bts.gov/view/dot/49090.
United States. Department of Transportation. Federal Highway Administration. Office of Safety
2017-04-01
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This is a checklist of symptoms for serious injury classifications.
United States. Department of Transportation. Federal Highway Administration. Office of Safety (2017). Safety Performance Management (Safety PM): Safety Data Resources - Suspected Serious Injury (A) Classifications (Report No. FHWA-SA-17-045). United States. Department of Transportation. Federal Highway Administration. Office of Safety. https://rosap.ntl.bts.gov/view/dot/49565
United States. Department of Transportation. Federal Highway Administration. Office of Safety. Safety Performance Management (Safety PM): Safety Data Resources - Suspected Serious Injury (A) Classifications. Report no. FHWA-SA-17-045. United States. Department of Transportation. Federal Highway Administration. Office of Safety, 2017. https://rosap.ntl.bts.gov/view/dot/49565.
United States. Department of Transportation. Federal Highway Administration. Office of Safety Safety Performance Management (Safety PM): Safety Data Resources - Suspected Serious Injury (A) Classifications. United States. Department of Transportation. Federal Highway Administration. Office of Safety, 2017, Report no. FHWA-SA-17-045, ROSA P. https://rosap.ntl.bts.gov/view/dot/49565.
Overall, 40 percent of crashes in the United States occur at intersections; a total of 57 percent of fatalities from 1997–2004 occurred at stop-controlled intersections, of which 61 percent occurred in rural areas. Factors believed to contribute to these incidents include inadequate surveillance, failure to obey/yield, driver inattention, and speed
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Jackson, S. (2017). Leveraging the Second Strategic Highway Research Program Naturalistic Driving Study: Examining Driver Behavior When Entering Rural High-Speed Intersections (Report No. FHWA-HRT-17-016;HRDS-30/04-17(WEB)E). United States. Federal Highway Administration. Office of Safety Research and Development. https://rosap.ntl.bts.gov/view/dot/37572
Jackson, Steven. Leveraging the Second Strategic Highway Research Program Naturalistic Driving Study: Examining Driver Behavior When Entering Rural High-Speed Intersections. Report no. FHWA-HRT-17-016;HRDS-30/04-17(WEB)E. United States. Federal Highway Administration. Office of Safety Research and Development, 2017. https://rosap.ntl.bts.gov/view/dot/37572.
Jackson, Steven Leveraging the Second Strategic Highway Research Program Naturalistic Driving Study: Examining Driver Behavior When Entering Rural High-Speed Intersections. United States. Federal Highway Administration. Office of Safety Research and Development, 2017, Report no. FHWA-HRT-17-016;HRDS-30/04-17(WEB)E, ROSA P. https://rosap.ntl.bts.gov/view/dot/37572.
This report is the first in a series of two reports focused on identifying opportunities for application of Intelligent Transportation System (ITS)technology – or equivalent – to address challenges and/or opportunities in the St. Lawrence Seaway. This paper summarizes current condition,challenges faced, and potential opportunities for application o
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Perlman, D., Stanford, J., & Wallischeck, E. (2017). St. Lawrence Seaway : overview of safety, efficiency, operational, and environmental issues : discussion paper (Report No. DOT-VNTSC-FWA-17-16;FHWA-JPO-17-592). United States. Joint Program Office for Intelligent Transportation Systems. https://rosap.ntl.bts.gov/view/dot/12495
Perlman, David, Joseph Stanford, and Eric Wallischeck. St. Lawrence Seaway : overview of safety, efficiency, operational, and environmental issues : discussion paper. Report no. DOT-VNTSC-FWA-17-16;FHWA-JPO-17-592. United States. Joint Program Office for Intelligent Transportation Systems, 2017. https://rosap.ntl.bts.gov/view/dot/12495.
Perlman, David, et al. St. Lawrence Seaway : overview of safety, efficiency, operational, and environmental issues : discussion paper. United States. Joint Program Office for Intelligent Transportation Systems, 2017, Report no. DOT-VNTSC-FWA-17-16;FHWA-JPO-17-592, ROSA P. https://rosap.ntl.bts.gov/view/dot/12495.
This report is the second in a series of two reports focused on identifying opportunities for application of Intelligent Transportation System (ITS)technology – or equivalent – to address challenges and/or opportunities in the St. Lawrence Seaway. The first paper in this series summarized current condition, challenges faced, and potential opportuni
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Perlman, D., Stanford, J., & Wallischeck, E. (2017). St. Lawrence Seaway : potential opportunities for the application of information and communication technologies : discussion paper (Report No. DOT-VNTSC-FHWA-17-17;FHWA-JPO-17-593). United States. Joint Program Office for Intelligent Transportation Systems. https://rosap.ntl.bts.gov/view/dot/12496
Perlman, David, Joseph Stanford, and Eric Wallischeck. St. Lawrence Seaway : potential opportunities for the application of information and communication technologies : discussion paper. Report no. DOT-VNTSC-FHWA-17-17;FHWA-JPO-17-593. United States. Joint Program Office for Intelligent Transportation Systems, 2017. https://rosap.ntl.bts.gov/view/dot/12496.
Perlman, David, et al. St. Lawrence Seaway : potential opportunities for the application of information and communication technologies : discussion paper. United States. Joint Program Office for Intelligent Transportation Systems, 2017, Report no. DOT-VNTSC-FHWA-17-17;FHWA-JPO-17-593, ROSA P. https://rosap.ntl.bts.gov/view/dot/12496.
The primary objective of this project is to develop multiple simulation testbeds and transportation models to evaluate the impacts of Connected Vehicle Dynamic Mobility Applications (DMA) and Active Transportation and Demand Management (ATDM) strategies. This report summarizes the evaluations conducted on the Chicago Testbed. The report summarizes
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Yelchuru, B., Kamalanathsharma, R., & Mahmassani, H. S. (2017). Analysis, Modeling, and Simulation (AMS) Testbed Development and Evaluation to Support Dynamic Mobility Applications (DMA) and Active Transportation and Demand Management (ATDM) Programs: Summary Report for the Chicago Testbed (Report No. FHWA-JPO-16-388). United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office. https://doi.org/10.21949/1503760
Yelchuru, Balaji, Raj Kamalanathsharma, and Hani S. Mahmassani. Analysis, Modeling, and Simulation (AMS) Testbed Development and Evaluation to Support Dynamic Mobility Applications (DMA) and Active Transportation and Demand Management (ATDM) Programs: Summary Report for the Chicago Testbed. Report no. FHWA-JPO-16-388. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2017. https://doi.org/10.21949/1503760.
Yelchuru, Balaji, et al. Analysis, Modeling, and Simulation (AMS) Testbed Development and Evaluation to Support Dynamic Mobility Applications (DMA) and Active Transportation and Demand Management (ATDM) Programs: Summary Report for the Chicago Testbed. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2017, Report no. FHWA-JPO-16-388, ROSA P. https://doi.org/10.21949/1503760.
This report presents a high-level test and evaluation framework for cooperative driving automation systems that have the potential to significantly improve mobility and enhance traffic flow stability with better safety. It focuses on the test and evaluation of vehicle platooning that uses cooperative adaptive cruise control (CACC) and vehicle-to-ve
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Tiernan, T., Richardson, N., Azeredo, P., Najm, W. G., & Lochrane, T. (2017). Test and Evaluation of Vehicle Platooning Proof-of-Concept Based on Cooperative Adaptive Cruise Control (Report No. DOT-VNTSC-FHWA-17-13). John A. Volpe National Transportation Systems Center (U.S.). https://rosap.ntl.bts.gov/view/dot/1038
Tiernan, Tim, Nicholas Richardson, Philip Azeredo, Wassim G. Najm, and Taylor Lochrane. Test and Evaluation of Vehicle Platooning Proof-of-Concept Based on Cooperative Adaptive Cruise Control. Report no. DOT-VNTSC-FHWA-17-13. John A. Volpe National Transportation Systems Center (U.S.), 2017. https://rosap.ntl.bts.gov/view/dot/1038.
Tiernan, Tim, et al. Test and Evaluation of Vehicle Platooning Proof-of-Concept Based on Cooperative Adaptive Cruise Control. John A. Volpe National Transportation Systems Center (U.S.), 2017, Report no. DOT-VNTSC-FHWA-17-13, ROSA P. https://rosap.ntl.bts.gov/view/dot/1038.
United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information
2017-04-01
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Traffic Volume Trends is a monthly report based on hourly traffic count data reported by the States. These data are collected at approximately 5,000 continuous traffic counting locations nationwide and are used to estimate the percent change in traffic for the current month compared with the same month in the previous year. Estimates are re-adjuste
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United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information (2017). Traffic Volume Trends: April 2017. United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information. https://rosap.ntl.bts.gov/view/dot/50394
United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information. Traffic Volume Trends: April 2017. United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information, 2017. https://rosap.ntl.bts.gov/view/dot/50394.
United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information Traffic Volume Trends: April 2017. United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information, 2017, ROSA P. https://rosap.ntl.bts.gov/view/dot/50394.
This case study describes the Vermont Agency of Transportation’s (VTrans) experience during the development of the first 10-year financial plan associated with its Transportation Asset Management Plan (TAMP). The case study shows the VTrans efforts to meet the state’s requirements and agency objectives for management of transportation assets, while
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Saadatmand, N., Gaj, S., Varma, S., & Proctor, G. (2017). Asset Management Financial Report Series: The Vermont Experience: A Case Study (Report No. FHWA-HIF-17-033). United States. Federal Highway Administration. Office of Asset Management, Pavements, and Construction. https://rosap.ntl.bts.gov/view/dot/50798
Saadatmand, Nastaran, Stephen Gaj, Shobna Varma, and Gordon Proctor. Asset Management Financial Report Series: The Vermont Experience: A Case Study. Report no. FHWA-HIF-17-033. United States. Federal Highway Administration. Office of Asset Management, Pavements, and Construction, 2017. https://rosap.ntl.bts.gov/view/dot/50798.
Saadatmand, Nastaran, et al. Asset Management Financial Report Series: The Vermont Experience: A Case Study. United States. Federal Highway Administration. Office of Asset Management, Pavements, and Construction, 2017, Report no. FHWA-HIF-17-033, ROSA P. https://rosap.ntl.bts.gov/view/dot/50798.
This study is the fourth in a series of four experiments exploring human factors issues associated with the introduction of cooperative adaptive cruise control (CACC). Specifically, the goals of this experiment were as follows:Assess drivers’ workloads under two different CACC following gaps (near and far).Assess drivers’ reactions to a vehicle mer
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Balk, S. A., Jackson, S., & Philips, B. H. (2017). Cooperative Adaptive Cruise Control Human Factors Study : Experiment 4 : Preferred Following Distance and Performance in An Emergency Event (Report No. FHWA-HRT-17-024). United States. Federal Highway Administration. Office of Safety Research and Development. https://rosap.ntl.bts.gov/view/dot/37822
Balk, Stacy A., Steven Jackson, and Brian H. Philips. Cooperative Adaptive Cruise Control Human Factors Study : Experiment 4 : Preferred Following Distance and Performance in An Emergency Event. Report no. FHWA-HRT-17-024. United States. Federal Highway Administration. Office of Safety Research and Development, 2017. https://rosap.ntl.bts.gov/view/dot/37822.
Balk, Stacy A., et al. Cooperative Adaptive Cruise Control Human Factors Study : Experiment 4 : Preferred Following Distance and Performance in An Emergency Event. United States. Federal Highway Administration. Office of Safety Research and Development, 2017, Report no. FHWA-HRT-17-024, ROSA P. https://rosap.ntl.bts.gov/view/dot/37822.
United States. Department of Transportation. Federal Highway Administration. Office of Safety
2017-04-01
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The objective of this study was to evaluate the safety effectiveness and to develop benefit-cost (B/C) ratios for the application of the SafetyEdgeSM treatment using scientifically rigorous crash-based analysis methods.
United States. Department of Transportation. Federal Highway Administration. Office of Safety (2017). Safety Effects of the SafetyEdgeSM Technical Summary of Crash Modification Factors (Report No. FHWA-SA-17-044). United States. Department of Transportation. Federal Highway Administration. Office of Safety. https://rosap.ntl.bts.gov/view/dot/49564
United States. Department of Transportation. Federal Highway Administration. Office of Safety. Safety Effects of the SafetyEdgeSM Technical Summary of Crash Modification Factors. Report no. FHWA-SA-17-044. United States. Department of Transportation. Federal Highway Administration. Office of Safety, 2017. https://rosap.ntl.bts.gov/view/dot/49564.
United States. Department of Transportation. Federal Highway Administration. Office of Safety Safety Effects of the SafetyEdgeSM Technical Summary of Crash Modification Factors. United States. Department of Transportation. Federal Highway Administration. Office of Safety, 2017, Report no. FHWA-SA-17-044, ROSA P. https://rosap.ntl.bts.gov/view/dot/49564.
United States. Federal Highway Administration. Office of Natural Environment
2017-04-01
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This brief newsletter each month keeps transportation stakeholders up-to-date on various issues related to transportation and climate change.
United States. Federal Highway Administration. Office of Natural Environment (2017). Air Quality and Sustainable Transportation Highlights: April/May 2017 (Report No. FHWA-HEP-17-051). United States. Department of Transportation. Federal Highway Administration. Office of Natural Environment. https://rosap.ntl.bts.gov/view/dot/49089
United States. Federal Highway Administration. Office of Natural Environment. Air Quality and Sustainable Transportation Highlights: April/May 2017. Report no. FHWA-HEP-17-051. United States. Department of Transportation. Federal Highway Administration. Office of Natural Environment, 2017. https://rosap.ntl.bts.gov/view/dot/49089.
United States. Federal Highway Administration. Office of Natural Environment Air Quality and Sustainable Transportation Highlights: April/May 2017. United States. Department of Transportation. Federal Highway Administration. Office of Natural Environment, 2017, Report no. FHWA-HEP-17-051, ROSA P. https://rosap.ntl.bts.gov/view/dot/49089.
The greatest barrier to using 3D digital design data in highway construction is ineffectively managed uncertainty regarding whether the constraints assumed in design reflect actual field conditions. Verifying the original ground close to construction is an effective, digital preconstruction quality control method to avoid basic construction issues.
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Maier, F., Chummers, L. E., Mitchell, A., & Kim, T. (2017). Technical Brief: Utilizing 3D Digital Data in Highway Construction (Report No. FHWA-HIF-17-031). United States. Federal Highway Administration. https://rosap.ntl.bts.gov/view/dot/54102
Maier, Francesca, Laura E. Chummers, Alexa Mitchell, and Theodore Kim. Technical Brief: Utilizing 3D Digital Data in Highway Construction. Report no. FHWA-HIF-17-031. United States. Federal Highway Administration, 2017. https://rosap.ntl.bts.gov/view/dot/54102.
Maier, Francesca, et al. Technical Brief: Utilizing 3D Digital Data in Highway Construction. United States. Federal Highway Administration, 2017, Report no. FHWA-HIF-17-031, ROSA P. https://rosap.ntl.bts.gov/view/dot/54102.
United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information
2017-04-01
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On a monthly basis, each State is required to report to the Federal Highway Administration (FHWA), the amount of gallons taxed by that state. This data is analyzed and compiled by FHWA staff. The data on the amount of on-highway fuel use for each State is then used to attribute federal revenue to each State. Yearly, the FHWA, Office of Policy, prov
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United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information (2017). Monthly Motor Fuel Reported by States: April 2017 (Report No. FHWA-PL-17-029). United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information. https://rosap.ntl.bts.gov/view/dot/50203
United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information. Monthly Motor Fuel Reported by States: April 2017. Report no. FHWA-PL-17-029. United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information, 2017. https://rosap.ntl.bts.gov/view/dot/50203.
United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information Monthly Motor Fuel Reported by States: April 2017. United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information, 2017, Report no. FHWA-PL-17-029, ROSA P. https://rosap.ntl.bts.gov/view/dot/50203.
There are numerous benefits afforded to using 3D digital design data in highway construction. These include: the ability to identify and resolve constructability challenges prior to mobilization, more accurate estimation and better control of pavement material quantities through Automated Machine Guidance (AMG), faster execution of construction wit
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Maier, F., Chummers, L. E., Pulikanti, S., Struthers, J. Q., Mallela, J., & Morgan, R. H. (2017). Utilizing 3D Digital Design Data in Highway Construction - Case Studies (Report No. FHWA-HIF-17-027). United States. Department of Transportation. Federal Highway Administration. Office of Infrastructure Research and Development. https://rosap.ntl.bts.gov/view/dot/42553
Maier, Francesca, Laura E. Chummers, Shashank Pulikanti, Jonathan Q. Struthers, Jagannath Mallela, and Ralph H. Morgan. Utilizing 3D Digital Design Data in Highway Construction - Case Studies. Report no. FHWA-HIF-17-027. United States. Department of Transportation. Federal Highway Administration. Office of Infrastructure Research and Development, 2017. https://rosap.ntl.bts.gov/view/dot/42553.
Maier, Francesca, et al. Utilizing 3D Digital Design Data in Highway Construction - Case Studies. United States. Department of Transportation. Federal Highway Administration. Office of Infrastructure Research and Development, 2017, Report no. FHWA-HIF-17-027, ROSA P. https://rosap.ntl.bts.gov/view/dot/42553.
Safety service patrols on freeway and arterial roadways provide a traffic management tool for transportation agencies across the country. A swift response to incidents provides effective temporary traffic control and quick clearance practices and reduces the chance of secondary accidents and bottlenecks. As more agencies assess their needs for traf
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Marquess, A., Desai, P., Havinoviski, G., & Heise, C. (2017). Safety Service Patrol Priorities and Best Practices (Report No. FHWA-HOP-16-047). United States. Department of Transportation. Federal Highway Administration. Office of Operations. https://rosap.ntl.bts.gov/view/dot/42526
Marquess, Alvin, Purvi Desai, Glenn Havinoviski, and Cliff Heise. Safety Service Patrol Priorities and Best Practices. Report no. FHWA-HOP-16-047. United States. Department of Transportation. Federal Highway Administration. Office of Operations, 2017. https://rosap.ntl.bts.gov/view/dot/42526.
Marquess, Alvin, et al. Safety Service Patrol Priorities and Best Practices. United States. Department of Transportation. Federal Highway Administration. Office of Operations, 2017, Report no. FHWA-HOP-16-047, ROSA P. https://rosap.ntl.bts.gov/view/dot/42526.
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