The US Transportation Collection consists of documents from across all transportation modes with specific focus on research reports from US DOT, state DOTs, and other transportation organizations.
Bookmark this collection: https://rosap.ntl.bts.gov/collection_ust or https://doi.org/10.21949/1530857.
We build a quantitative general equilibrium model of residence and employment choices under municipal density limits. Developers decide where to build, businesses decide where to offer jobs, and workers decide where to live and work given exogenous location characteristics, transport infrastructure, and zoning restrictions. We use employment, real
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Parkhomenko, A., Delventhal, M. J., & Kwon, E. (2020). Optimal Density Restrictions in the Los Angeles-Long Beach CSA (Report No. CA20-3415). California. Dept. of Transportation. Division of Research and Innovation. https://rosap.ntl.bts.gov/view/dot/55511
Parkhomenko, Andrii, Matthew J. Delventhal, and Eunjee Kwon. Optimal Density Restrictions in the Los Angeles-Long Beach CSA. Report no. CA20-3415. California. Dept. of Transportation. Division of Research and Innovation, 2020. https://rosap.ntl.bts.gov/view/dot/55511.
Parkhomenko, Andrii, et al. Optimal Density Restrictions in the Los Angeles-Long Beach CSA. California. Dept. of Transportation. Division of Research and Innovation, 2020, Report no. CA20-3415, ROSA P. https://rosap.ntl.bts.gov/view/dot/55511.
Transportation disadvantage is an underlying cause of low household earnings. In our recent experience implementing a shared ride program with taxicabs and vanpools we have found that transportation disadvantage cannot be solved by mobility alone. In our pilot project, we recognized a need for a type of organization—similar to a Transportation Mana
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McAndrews, C. A., & Allon, A. (2020). Institutions and Information Technology To Support Multimodal Integration in Employment Transportation (Report No. CTEDD 019-18). Center for Transportation, Equity, Decisions and Dollars (CTEDD) (UTC). https://rosap.ntl.bts.gov/view/dot/56022
McAndrews, Carolyn A. and Alexander Allon. Institutions and Information Technology To Support Multimodal Integration in Employment Transportation. Report no. CTEDD 019-18. Center for Transportation, Equity, Decisions and Dollars (CTEDD) (UTC), 2020. https://rosap.ntl.bts.gov/view/dot/56022.
McAndrews, Carolyn A., and Alexander Allon Institutions and Information Technology To Support Multimodal Integration in Employment Transportation. Center for Transportation, Equity, Decisions and Dollars (CTEDD) (UTC), 2020, Report no. CTEDD 019-18, ROSA P. https://rosap.ntl.bts.gov/view/dot/56022.
The purpose of this project is to estimate the performance of multi-modal supply chains that use inland waterway ports. This is accomplished by developing a method to fuse publicly available datasets including truck and marine vessel tracking data and lock performance data. The study builds on a growing body of research related to multi-modal freig
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Hernandez, S. V., Asborno, M. I., & Yves, M. (2020). Combining Truck and Vessel Tracking Data to Estimate Performance and Impacts of Inland Ports. Maritime Transportation Research and Education Center (MarTREC). https://rosap.ntl.bts.gov/view/dot/57487
Hernandez, Sarah V, Magdalena I Asborno, and Manzi Yves. Combining Truck and Vessel Tracking Data to Estimate Performance and Impacts of Inland Ports. Maritime Transportation Research and Education Center (MarTREC), 2020. https://rosap.ntl.bts.gov/view/dot/57487.
Hernandez, Sarah V, et al. Combining Truck and Vessel Tracking Data to Estimate Performance and Impacts of Inland Ports. Maritime Transportation Research and Education Center (MarTREC), 2020, ROSA P. https://rosap.ntl.bts.gov/view/dot/57487.
Tunnel ventilation systems must be able to provide adequate air quality during normal operation in addition to supporting self-evacuation and rescue efforts during emergency incidents. To maintain low or negligible levels of tailpipe emission gases during normal operation, the operational cost of tunnel ventilation systems can be high. As the vehic
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Guo, W., Jafari, M. A., Eskandani, G., Guo, S., & Parvardeh, H. (2020). Development of Vehicle Fleet Mix Forecast Models for Life Cycle Cost Forecast for Tunnel Ventilation Systems (Report No. CAIT-UTC-NC59). Rutgers University. Center for Advanced Infrastructure and Transportation. https://rosap.ntl.bts.gov/view/dot/54002
Guo, Weihong, Mohsen A Jafari, Ghazal Eskandani, Shenghan Guo, and Hooman Parvardeh. Development of Vehicle Fleet Mix Forecast Models for Life Cycle Cost Forecast for Tunnel Ventilation Systems. Report no. CAIT-UTC-NC59. Rutgers University. Center for Advanced Infrastructure and Transportation, 2020. https://rosap.ntl.bts.gov/view/dot/54002.
Guo, Weihong, et al. Development of Vehicle Fleet Mix Forecast Models for Life Cycle Cost Forecast for Tunnel Ventilation Systems. Rutgers University. Center for Advanced Infrastructure and Transportation, 2020, Report no. CAIT-UTC-NC59, ROSA P. https://rosap.ntl.bts.gov/view/dot/54002.
Conventional intersection design has met the challenges of increasing congestion and traffic delays. To solve this problem, transportation planners and engineers have proposed a variety of innovative intersection designs. Among these innovative intersection designs, displaced left turn (DLT) intersection has been implemented in 12 states in the USA
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Qi, Y., Zhao, Q., Liu, S., & Azimi, M. (2020). Signal Timing Strategy for Displaced Left Turn Intersections (Report No. 2019 Project 13). University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education. https://rosap.ntl.bts.gov/view/dot/57032
Qi, Yi, Qun Zhao, Shaojie Liu, and Mehdi Azimi. Signal Timing Strategy for Displaced Left Turn Intersections. Report no. 2019 Project 13. University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education, 2020. https://rosap.ntl.bts.gov/view/dot/57032.
Qi, Yi, et al. Signal Timing Strategy for Displaced Left Turn Intersections. University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education, 2020, Report no. 2019 Project 13, ROSA P. https://rosap.ntl.bts.gov/view/dot/57032.
This report summarizes the results of a study conducted to document the safety and mobility needs of Rural, Isolated, Tribal, or Indigenous (RITI) communities and to identify autonomous and connected vehicle technology that have the potential of addressing these needs. A review of the administrative structure for the five Native American Tribes in
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Sorour, S., Abdel-Rahim, A., Swoboda-Colberg, S., & Hassan, M. (2020). Transportation Equity for RITI Communities in Autonomous and Connected Vehicle Environment: Opportunities and Barriers. University of Alaska Fairbanks. Center for Safety Equity in Transportation (CSET). https://rosap.ntl.bts.gov/view/dot/58704
Sorour, Sameh, Ahmed Abdel-Rahim, Skye Swoboda-Colberg, and Mohamed Hassan. Transportation Equity for RITI Communities in Autonomous and Connected Vehicle Environment: Opportunities and Barriers. University of Alaska Fairbanks. Center for Safety Equity in Transportation (CSET), 2020. https://rosap.ntl.bts.gov/view/dot/58704.
Sorour, Sameh, et al. Transportation Equity for RITI Communities in Autonomous and Connected Vehicle Environment: Opportunities and Barriers. University of Alaska Fairbanks. Center for Safety Equity in Transportation (CSET), 2020, ROSA P. https://rosap.ntl.bts.gov/view/dot/58704.
A Vision Zero Plan provides direction specifically around the vision to eliminate all traffic-related deaths and severe injuries in the community. The purpose of this Guide is to assist communities in developing a Vision Zero Plan. The Guide describes the major steps involved in developing a plan, with an emphasis on best practices. It is also usef
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Supporting Files
LaJeunesse, S., Naumann, R. B., Sandt, L., Spade, C., & Evenson, K. R. (2020). Guide to Developing a Vision Zero Plan. Collaborative Sciences Center for Road Safety. https://rosap.ntl.bts.gov/view/dot/56812
LaJeunesse, Seth, Rebecca B Naumann, Laura Sandt, Camden Spade, and Kelly R Evenson. Guide to Developing a Vision Zero Plan. Collaborative Sciences Center for Road Safety, 2020. https://rosap.ntl.bts.gov/view/dot/56812.
LaJeunesse, Seth, et al. Guide to Developing a Vision Zero Plan. Collaborative Sciences Center for Road Safety, 2020, ROSA P. https://rosap.ntl.bts.gov/view/dot/56812.
Stripping and delamination have been deemed as some of the major premature pavement distresses to most state Departments of Transportations (DOTs) and highway agencies including the Arkansas Department of Transportation (ARDOT). It is believed that the poor compatibility between asphalt binders and aggregates is one of the major reasons behind this
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Hossain, Z., Elsayed, A., Bagchi, T., & Roy, S. (2020). Assessment of Compatibility of Mineral Aggregates and Binders Used in Highway Construction and Maintenance Projects (Report No. 19BASU02). Transportation Consortium of South-Central States. https://doi.org/10.5281/zenodo.4273196
Hossain, Zahid, Ashraf Elsayed, Tandra Bagchi, and Sumon Roy. Assessment of Compatibility of Mineral Aggregates and Binders Used in Highway Construction and Maintenance Projects. Report no. 19BASU02. Transportation Consortium of South-Central States, 2020. https://doi.org/10.5281/zenodo.4273196.
Hossain, Zahid, et al. Assessment of Compatibility of Mineral Aggregates and Binders Used in Highway Construction and Maintenance Projects. Transportation Consortium of South-Central States, 2020, Report no. 19BASU02, ROSA P. https://doi.org/10.5281/zenodo.4273196.
The main objective of this research project was to develop a cost-effective life-cycle treatment plan for the preservation of Wisconsin bridge decks. The research team identified a comprehensive list of strategies through a review of current practice and department of transportation (DOT) policies and provided data-driven estimates of the performan
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Bektas, B., Albughdadi, A., Freeseman, K., & Bazargani, B. (2020). Protocols for Concrete Bridge Deck Protections and Treatments (Report No. WisDOT 0092-18-03). Wisconsin. Dept. of Transportation. Library and Research Unit. https://rosap.ntl.bts.gov/view/dot/56896
Bektas, Basak, Ahmed Albughdadi, Katelyn Freeseman, and Bahar Bazargani. Protocols for Concrete Bridge Deck Protections and Treatments. Report no. WisDOT 0092-18-03. Wisconsin. Dept. of Transportation. Library and Research Unit, 2020. https://rosap.ntl.bts.gov/view/dot/56896.
Bektas, Basak, et al. Protocols for Concrete Bridge Deck Protections and Treatments. Wisconsin. Dept. of Transportation. Library and Research Unit, 2020, Report no. WisDOT 0092-18-03, ROSA P. https://rosap.ntl.bts.gov/view/dot/56896.
This work presents the development of a high-fidelity model that accounts for the cumulative effect of welding and hot-dip galvanizing on the determining the resulting residual stresses and deformations induced during the manufacturing process of high mast illumination poles (HMIPs). This model is meant to elucidate the root causes of weld toe crac
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Montoya, A., Matamoros, A., Nasouri, R., Ikpah, E., & Majlesi, A. (2020). Optimizing the Geometric Configuration and Manufacturing Process of High Mast Illumination Poles (Report No. 19STUTSA02). Transportation Consortium of South-Central States. https://doi.org/10.5281/zenodo.4273213
Montoya, Arturo, Adolfo Matamoros, Reza Nasouri, Echizeni Ikpah, and Arsalan Majlesi. Optimizing the Geometric Configuration and Manufacturing Process of High Mast Illumination Poles. Report no. 19STUTSA02. Transportation Consortium of South-Central States, 2020. https://doi.org/10.5281/zenodo.4273213.
Montoya, Arturo, et al. Optimizing the Geometric Configuration and Manufacturing Process of High Mast Illumination Poles. Transportation Consortium of South-Central States, 2020, Report no. 19STUTSA02, ROSA P. https://doi.org/10.5281/zenodo.4273213.
This report recommends a Weigh-In-Motion (WIM) data quality control (QC) process that will assist in delivering higher quality WIM data and continuously improving WIM program performance as its user base grows within the Georgia Department of Transportation (GDOT). Specifically, this research study serves to establish a procedure for off-site offic
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Chorzepa, M. G., Kim, S. S., Durham, S. A., & Sinha, A. (2020). Development of Weigh-in-Motion Data Quality Control Algorithms and Procedures (Report No. FHWA-GA-20-1836). Georgia. Department of Transportation. Office of Performance-Based Management & Research. https://rosap.ntl.bts.gov/view/dot/54534
Chorzepa, Mi G, S. Sonny Kim, Stephan A. Durham, and Ananta Sinha. Development of Weigh-in-Motion Data Quality Control Algorithms and Procedures. Report no. FHWA-GA-20-1836. Georgia. Department of Transportation. Office of Performance-Based Management & Research, 2020. https://rosap.ntl.bts.gov/view/dot/54534.
Chorzepa, Mi G, et al. Development of Weigh-in-Motion Data Quality Control Algorithms and Procedures. Georgia. Department of Transportation. Office of Performance-Based Management & Research, 2020, Report no. FHWA-GA-20-1836, ROSA P. https://rosap.ntl.bts.gov/view/dot/54534.
An innovative intersection design, Contraflow left-turn lane (CLL), designed for increasing the left-turn capacity has been increasingly implemented at the signalized intersections. This study developed a systematic method for determining the length of CLL and the signal timing plan for implementing CLL at signalized intersections. The signal timin
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Qi, Y., Zhao, Q., Liu, J., Tao, T., Zhou, L., Azimi, M., & Guo, R. (2020). Development of Guidelines for Implementation of Contraflow Left-Turn Lanes at Signalized Intersections (Report No. 2019 Project 12;CAMMSE-UNCC-2019-UTC-Project-12). University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education. https://rosap.ntl.bts.gov/view/dot/57035
Qi, Yi, Qun Zhao, Jinli Liu, Tao Tao, Lijie Zhou, Mehdi Azimi, and Rongwei Guo. Development of Guidelines for Implementation of Contraflow Left-Turn Lanes at Signalized Intersections. Report no. 2019 Project 12;CAMMSE-UNCC-2019-UTC-Project-12. University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education, 2020. https://rosap.ntl.bts.gov/view/dot/57035.
Qi, Yi, et al. Development of Guidelines for Implementation of Contraflow Left-Turn Lanes at Signalized Intersections. University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education, 2020, Report no. 2019 Project 12;CAMMSE-UNCC-2019-UTC-Project-12, ROSA P. https://rosap.ntl.bts.gov/view/dot/57035.
The idea of deploying electric vehicles and unmanned aerial vehicles (UAVs), also known as drones, to perform "last-mile" delivery in logistics operations has attracted increasing attention in the past few years. In this paper, an electric vehicle travelling salesman problem with drone (EVTSP-D) is formulated as a mixed-integer/linear program to ai
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Boyles, S. D., & Zhu, T. (2020). Assessment of Parcel Delivery Systems Using Unmanned Aerial Vehicles (Report No. 2019 Project 07). University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education. https://rosap.ntl.bts.gov/view/dot/58925
Boyles, Stephen D. and Tengkuo Zhu. Assessment of Parcel Delivery Systems Using Unmanned Aerial Vehicles. Report no. 2019 Project 07. University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education, 2020. https://rosap.ntl.bts.gov/view/dot/58925.
Boyles, Stephen D., and Tengkuo Zhu Assessment of Parcel Delivery Systems Using Unmanned Aerial Vehicles. University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education, 2020, Report no. 2019 Project 07, ROSA P. https://rosap.ntl.bts.gov/view/dot/58925.
Activities were dedicated to the collections, summarizations and categorizing more research articles related to the analysis of the sources of workforce deficiencies. The focus was on the technical and educational solution methods and strategies, guideline relevant to the workforce development. The times also were committed to the development of ed
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Ehteshami, G. R. (2020). Analysis of the Causes of Workforce Shortages: Create Guidelines for Education and Workforce Development in Transportation to Generate Future Careers for the Navajo Nation (Report No. 19TTNTU03). Transportation Consortium of South-Central States. https://doi.org/10.5281/zenodo.4432090
Ehteshami, Gholam R. Analysis of the Causes of Workforce Shortages: Create Guidelines for Education and Workforce Development in Transportation to Generate Future Careers for the Navajo Nation. Report no. 19TTNTU03. Transportation Consortium of South-Central States, 2020. https://doi.org/10.5281/zenodo.4432090.
Ehteshami, Gholam R Analysis of the Causes of Workforce Shortages: Create Guidelines for Education and Workforce Development in Transportation to Generate Future Careers for the Navajo Nation. Transportation Consortium of South-Central States, 2020, Report no. 19TTNTU03, ROSA P. https://doi.org/10.5281/zenodo.4432090.
UC Davis researchers have developed a cost model of travel choices that individuals make related to urban vehicle travel. These choices can include deciding to own, ride in, and drive a private vehicle or use pooled or solo ridesourcing (e.g., Uber). The model considers both monetary and non-monetary factors that affect travel choice. Monetary fact
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Fulton, L. M., Compostella, J., & Kothawala, A. (2020). Estimating the Costs of New Mobility Travel Options: Monetary and Non-Monetary Factors (Report No. NCST-UCD-RR-20-23;UCD-ITS-RR-20-43). United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology. https://doi.org/10.25338/B8Q04H
Fulton, Lewis M, Junia Compostella, and Alimurtaza Kothawala. Estimating the Costs of New Mobility Travel Options: Monetary and Non-Monetary Factors. Report no. NCST-UCD-RR-20-23;UCD-ITS-RR-20-43. United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology, 2020. https://doi.org/10.25338/B8Q04H.
Fulton, Lewis M, et al. Estimating the Costs of New Mobility Travel Options: Monetary and Non-Monetary Factors. United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology, 2020, Report no. NCST-UCD-RR-20-23;UCD-ITS-RR-20-43, ROSA P. https://doi.org/10.25338/B8Q04H.
The partial collapse of Illinois Department of Transportation structure 020-3087 on October 1, 2019, provided IDOT with the opportunity to evaluate the in situ strength of a precast, prestressed concrete deck beam bridge after 50 years in service. An undamaged beam was transported to the Newmark Structural Engineering Laboratory and tested in three
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Golecki, T. F., & Spencer Jr, B. F. (2020). Destructive Testing of IDOT Bridge Structure Number 020-3087 (Report No. FHWA-ICT-20-008). Illinois. Dept. of Transportation. Bureau of Research. https://doi.org/10.36501/0197-9191/20-014
Golecki, Thomas F. and B. F. Spencer Jr. Destructive Testing of IDOT Bridge Structure Number 020-3087. Report no. FHWA-ICT-20-008. Illinois. Dept. of Transportation. Bureau of Research, 2020. https://doi.org/10.36501/0197-9191/20-014.
Golecki, Thomas F., and B. F. Spencer Jr Destructive Testing of IDOT Bridge Structure Number 020-3087. Illinois. Dept. of Transportation. Bureau of Research, 2020, Report no. FHWA-ICT-20-008, ROSA P. https://doi.org/10.36501/0197-9191/20-014.
The goal of this Center for Advanced Multimodal Mobility Solutions and Education (CAMMSE) project was to engage local middle and high school students in transportation engineering activities that include pre- and post-testing in order to assess their learning and the factors that influenced their learning. To meet this goal, the following objective
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Willis, O., Reed, C., Zhang, Y., & Shi, X. (2020). Multimodal Transportation Engineering Curriculum for Middle and High School Students (Report No. Project ID: 2019-15;CAMMSE-UNCC-2019-UTC-Project-15). University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education. https://rosap.ntl.bts.gov/view/dot/57030
Willis, Olivia, Cheryl Reed, Yan Zhang, and Xianming Shi. Multimodal Transportation Engineering Curriculum for Middle and High School Students. Report no. Project ID: 2019-15;CAMMSE-UNCC-2019-UTC-Project-15. University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education, 2020. https://rosap.ntl.bts.gov/view/dot/57030.
Willis, Olivia, et al. Multimodal Transportation Engineering Curriculum for Middle and High School Students. University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education, 2020, Report no. Project ID: 2019-15;CAMMSE-UNCC-2019-UTC-Project-15, ROSA P. https://rosap.ntl.bts.gov/view/dot/57030.
Millimeter-wave (mmWave) communications, using directional beams, is a key enabler for high-throughput mobile ad hoc networks. These directional beams are organized into multiple codebooks according to beam resolution, with each codebook consisting of a set of equal width beams that cover the whole angular space. The codebook with narrow beams deli
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Zhang, Y., Basu, S., Shakkottai, S., & Heath Jr, R. W. (2020). MmWave Codebook Selection in Rapidly-Varying Channels via Multinomial Thompson Sampling (Report No. D-STOP/2020/158). University of Texas at Austin. Data-Supported Transportation Operations & Planning Center (D-STOP). https://rosap.ntl.bts.gov/view/dot/55862
Zhang, Yi, Soumya Basu, Sanjay Shakkottai, and Robert W Heath Jr. MmWave Codebook Selection in Rapidly-Varying Channels via Multinomial Thompson Sampling. Report no. D-STOP/2020/158. University of Texas at Austin. Data-Supported Transportation Operations & Planning Center (D-STOP), 2020. https://rosap.ntl.bts.gov/view/dot/55862.
Zhang, Yi, et al. MmWave Codebook Selection in Rapidly-Varying Channels via Multinomial Thompson Sampling. University of Texas at Austin. Data-Supported Transportation Operations & Planning Center (D-STOP), 2020, Report no. D-STOP/2020/158, ROSA P. https://rosap.ntl.bts.gov/view/dot/55862.
Traditional public transit is designed to serve high-density, urban areas with concentrated travel patterns using fixed routes and schedules. Mobility gaps exist for populations who are captive to public transit and need to travel to locations where public transit does not cover. Emerging technologies enable bridging such a gap by providing flexibl
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Grahn, R., & Qian, S. (2020). Strategic and Operational Strategies to Inform First- and Last- Mile Services: Case Studies for Robinson and Moon Townships. Mobility21, Carnegie Mellon University. https://rosap.ntl.bts.gov/view/dot/56331
Grahn, Rick and Sean Qian. Strategic and Operational Strategies to Inform First- and Last- Mile Services: Case Studies for Robinson and Moon Townships. Mobility21, Carnegie Mellon University, 2020. https://rosap.ntl.bts.gov/view/dot/56331.
Grahn, Rick, and Sean Qian Strategic and Operational Strategies to Inform First- and Last- Mile Services: Case Studies for Robinson and Moon Townships. Mobility21, Carnegie Mellon University, 2020, ROSA P. https://rosap.ntl.bts.gov/view/dot/56331.
Transportation infrastructure construction quality control and quality assurance demands construction monitoring by field inspectors. Currently, these inspectors monitor infrastructure by measuring and photographing structures. These tasks allow them to assess any correction decision during construction or to inform about the quality of the constru
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Moreu, F., Lippitt, C. D., & Yuan, X. (2020). Bridge Construction Monitoring using LIDAR for Quantified, Objective Quality-Control Quality-Assurance (QOQCQA) (Report No. 19STUNM02). Transportation Consortium of South-Central States. https://rosap.ntl.bts.gov/view/dot/58940
Moreu, Fernando, Christopher D. Lippitt, and Xinxing Yuan. Bridge Construction Monitoring using LIDAR for Quantified, Objective Quality-Control Quality-Assurance (QOQCQA). Report no. 19STUNM02. Transportation Consortium of South-Central States, 2020. https://rosap.ntl.bts.gov/view/dot/58940.
Moreu, Fernando, et al. Bridge Construction Monitoring using LIDAR for Quantified, Objective Quality-Control Quality-Assurance (QOQCQA). Transportation Consortium of South-Central States, 2020, Report no. 19STUNM02, ROSA P. https://rosap.ntl.bts.gov/view/dot/58940.
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