By leveraging advanced technologies, Autonomous Vehicles (AVs) hold the potential to increase transportation safety and efficiency. This collection showcases USDOT-funded research and data concerning AVs. Bookmark this collection: https://rosap.ntl.bts.gov/collection_avs OR https://doi.org/10.21949/1x81-qs91.
In this project, we developed essential modules for achieving the proposed autonomous emergency navigation function for an automated vehicle. We investigated and designed sensing solutions for safe roadside location identification, as well as control solutions for autonomous navigation to the identified location. Sensing capabilities are achieved b
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Furukawa, T., Zuo, L., Parker, R. G., & Yang, L. (2020). Autonomous Emergency Navigation to a Safe Roadside Location (Report No. 03-073). Safety through Disruption (Safe-D) University Transportation Center (UTC). https://rosap.ntl.bts.gov/view/dot/55866
Furukawa, Tomonari, Lei Zuo, Robert G. Parker, and Lisheng Yang. Autonomous Emergency Navigation to a Safe Roadside Location. Report no. 03-073. Safety through Disruption (Safe-D) University Transportation Center (UTC), 2020. https://rosap.ntl.bts.gov/view/dot/55866.
Furukawa, Tomonari, et al. Autonomous Emergency Navigation to a Safe Roadside Location. Safety through Disruption (Safe-D) University Transportation Center (UTC), 2020, Report no. 03-073, ROSA P. https://rosap.ntl.bts.gov/view/dot/55866.
Reducing crash counts on saturated road networks is one of the most significant benefits of autonomous vehicle(AV) technology. To date, many researchers have studied how AVs maneuver in different traffic situations, but less attention has been paid to car-following scenarios between AVs and human drivers. Braking and accelerating decision mismatche
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Talebpour, A., Lord, D., Manser, M., & Machiani, S. G. (2020). Preventing Crashes in Mixed Traffic With Automated and Human-Driven Vehicles (Report No. 03-072). Safety through Disruption (Safe-D) University Transportation Center (UTC). https://rosap.ntl.bts.gov/view/dot/55867
Talebpour, Alireza, Dominique Lord, Michael Manser, and Sahar Ghanipoor Machiani. Preventing Crashes in Mixed Traffic With Automated and Human-Driven Vehicles. Report no. 03-072. Safety through Disruption (Safe-D) University Transportation Center (UTC), 2020. https://rosap.ntl.bts.gov/view/dot/55867.
Talebpour, Alireza, et al. Preventing Crashes in Mixed Traffic With Automated and Human-Driven Vehicles. Safety through Disruption (Safe-D) University Transportation Center (UTC), 2020, Report no. 03-072, ROSA P. https://rosap.ntl.bts.gov/view/dot/55867.
This report describes the findings from applying Safety of the Intended Functionality (SOTIF) concepts as described in the Publicly Available Specification (PAS) ISO 21448 to the lane-changing and lane-centering maneuvers of a generic Level 3 highway chauffeur system. This report compares the SOTIF process described in PAS 21448 with the automotive
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Becker, C., Brewer, J. C., & Yount, L. (2020). Safety of the Intended Functionality of Lane-Centering and Lane-Changing Maneuvers of a Generic Level 3 Highway Chauffeur System (Report No. DOT HS 812 879). United States. National Highway Traffic Safety Administration. Electronic System Safety Research Division. https://doi.org/10.21949/1530201
Becker, Christopher, John C. Brewer, and Larry Yount. Safety of the Intended Functionality of Lane-Centering and Lane-Changing Maneuvers of a Generic Level 3 Highway Chauffeur System. Report no. DOT HS 812 879. United States. National Highway Traffic Safety Administration. Electronic System Safety Research Division, 2020. https://doi.org/10.21949/1530201.
Becker, Christopher, et al. Safety of the Intended Functionality of Lane-Centering and Lane-Changing Maneuvers of a Generic Level 3 Highway Chauffeur System. United States. National Highway Traffic Safety Administration. Electronic System Safety Research Division, 2020, Report no. DOT HS 812 879, ROSA P. https://doi.org/10.21949/1530201.
Automated driving systems (ADS) have the potential to fundamentally transform transportation by reducing crashes, congestion, and cost while improving traffic efficiency and access to mobility for the transportation-challenged population. However, people may not use ADS as intended due to their misunderstanding of such systems’ capabilities and lim
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DatasetSupporting Files
Kim, H., Song, M., & Doerzaph, Z. R. (2020). Real-World Use of Automated Driving Systems and their Safety Consequences: A Naturalistic Driving Data Analysis [supporting datasets] (Report No. VTTI-00-029). Safety through Disruption (Safe-D) University Transportation Center (UTC). https://doi.org/10.15787/VTT1/98NBN7
Kim, Hyungil, Miao Song, and Zachary R Doerzaph. Real-World Use of Automated Driving Systems and their Safety Consequences: A Naturalistic Driving Data Analysis [supporting datasets]. Report no. VTTI-00-029. Safety through Disruption (Safe-D) University Transportation Center (UTC), 2020. https://doi.org/10.15787/VTT1/98NBN7.
Kim, Hyungil, et al. Real-World Use of Automated Driving Systems and their Safety Consequences: A Naturalistic Driving Data Analysis [supporting datasets]. Safety through Disruption (Safe-D) University Transportation Center (UTC), 2020, Report no. VTTI-00-029, ROSA P. https://doi.org/10.15787/VTT1/98NBN7.
Automated vehicle Services for People with disabilities–Involved Responsive Engineering (ASPIRE Center) [UTC]
2020-10-30
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ASPIRE Center data management plan for research on topic: Implications of Accessible Automated Vehicles and Mobility Services for People with Disabilities.
Automated vehicle Services for People with disabilities–Involved Responsive Engineering (ASPIRE Center) [UTC] (2020). Implications of Accessible Automated Vehicles and Mobility Services for People with Disabilities: Data Management Plan. Automated vehicle Services for People with disabilities–Involved Responsive Engineering (ASPIRE Center) [UTC]. https://rosap.ntl.bts.gov/view/dot/61221
Automated vehicle Services for People with disabilities–Involved Responsive Engineering (ASPIRE Center) [UTC]. Implications of Accessible Automated Vehicles and Mobility Services for People with Disabilities: Data Management Plan. Automated vehicle Services for People with disabilities–Involved Responsive Engineering (ASPIRE Center) [UTC], 2020. https://rosap.ntl.bts.gov/view/dot/61221.
Automated vehicle Services for People with disabilities–Involved Responsive Engineering (ASPIRE Center) [UTC] Implications of Accessible Automated Vehicles and Mobility Services for People with Disabilities: Data Management Plan. Automated vehicle Services for People with disabilities–Involved Responsive Engineering (ASPIRE Center) [UTC], 2020, ROSA P. https://rosap.ntl.bts.gov/view/dot/61221.
This workshop discusses how CAD and AVs can support the sustainability of transport and what current research indicates about these impacts. It also discusses what kind of expectations and concerns different stakeholders have and whether the automated mobility can be made inclusive and environmentally friendly.
Smith, S., & Eilbert, A. (2020). Energy and Environmental Impacts of Automate Vehicles: Framework and Preliminary Results. John A. Volpe National Transportation Systems Center (U.S.). https://rosap.ntl.bts.gov/view/dot/55246
Smith, Scott and Andrew Eilbert. Energy and Environmental Impacts of Automate Vehicles: Framework and Preliminary Results. John A. Volpe National Transportation Systems Center (U.S.), 2020. https://rosap.ntl.bts.gov/view/dot/55246.
Smith, Scott, and Andrew Eilbert Energy and Environmental Impacts of Automate Vehicles: Framework and Preliminary Results. John A. Volpe National Transportation Systems Center (U.S.), 2020, ROSA P. https://rosap.ntl.bts.gov/view/dot/55246.
The United States Department of Transportation’s (USDOT) Transportation Systems Management and Operations/Connected and Automated Vehicle Capability Maturity Model (TSMO/CAV CMM) Framework published in 2017 provides a clear set of guidelines to departments of transportation (DOTs) across the country for assessing and advancing state and local trans
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Vasudevan, V., Heidari, M., & Selmont, J. (2020). Self‐Evaluation and Readiness of Alaska DOT&PF on Deployment of Connected and Automated Vehicle (CAV) on Alaskan Roads (Report No. FHWA-AK-RD-4000-190). Alaska. Department of Transportation and Public Facilities. Research and Technology Transfer. https://rosap.ntl.bts.gov/view/dot/58517
Vasudevan, Vinod, Mohammad Heidari, and Joe Selmont. Self‐Evaluation and Readiness of Alaska DOT&PF on Deployment of Connected and Automated Vehicle (CAV) on Alaskan Roads. Report no. FHWA-AK-RD-4000-190. Alaska. Department of Transportation and Public Facilities. Research and Technology Transfer, 2020. https://rosap.ntl.bts.gov/view/dot/58517.
Vasudevan, Vinod, et al. Self‐Evaluation and Readiness of Alaska DOT&PF on Deployment of Connected and Automated Vehicle (CAV) on Alaskan Roads. Alaska. Department of Transportation and Public Facilities. Research and Technology Transfer, 2020, Report no. FHWA-AK-RD-4000-190, ROSA P. https://rosap.ntl.bts.gov/view/dot/58517.
One of the missions of C2SMART is to help cities around the country better understand the transferability of transportation technologies. For this purpose, two yearlong projects were initiated from 2018 – 2020 to initiate a new virtual test bed ecosystem: (1) 2018 – 2019: Phase I: Open Source Multi-Agent Virtual Simulation Testbed and (2) 2019 – 20
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DatasetSupporting Files
He, Y. (2020). Multi-agent Simulation-based Virtual Test Bed Ecosystem: MATSim- NYC [supporting datasets]. Connected Cities for Smart Mobility toward Accessible and Resilient Transportation Center (C2SMART). https://doi.org/10.5281/zenodo.4082007
He, Yueshuai. Multi-agent Simulation-based Virtual Test Bed Ecosystem: MATSim- NYC [supporting datasets]. Connected Cities for Smart Mobility toward Accessible and Resilient Transportation Center (C2SMART), 2020. https://doi.org/10.5281/zenodo.4082007.
He, Yueshuai Multi-agent Simulation-based Virtual Test Bed Ecosystem: MATSim- NYC [supporting datasets]. Connected Cities for Smart Mobility toward Accessible and Resilient Transportation Center (C2SMART), 2020, ROSA P. https://doi.org/10.5281/zenodo.4082007.
In recent years, developments in vehicle-to-everything communication (V2X) have steadily increased in applications such as platooning, collision avoidance, and routing algorithm. V2X provides vehicles with long range information regarding traffic congestion and routing, but also short and mid-range information allowing cooperative adaptive cruise c
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Pisu, P., Comert, G., & Zhao, C. (2020). Detection of False Data Injection Attack in Connected Vehicles via Cloud-based Sandboxing. Center for Connected Multimodal Mobility, Clemson University. https://rosap.ntl.bts.gov/view/dot/60929
Pisu, Pierluigi, Gurcan Comert, and Chunheng Zhao. Detection of False Data Injection Attack in Connected Vehicles via Cloud-based Sandboxing. Center for Connected Multimodal Mobility, Clemson University, 2020. https://rosap.ntl.bts.gov/view/dot/60929.
Pisu, Pierluigi, et al. Detection of False Data Injection Attack in Connected Vehicles via Cloud-based Sandboxing. Center for Connected Multimodal Mobility, Clemson University, 2020, ROSA P. https://rosap.ntl.bts.gov/view/dot/60929.
Crashes involving transit vehicles, bicyclists, and pedestrians are a concern in Texas, especially in urban areas. This research explored the potential of automated and connected vehicle (AV/CV) technology to reduce or eliminate these crashes. The project objectives focused on identifying safety concerns related to the interaction of transit vehicl
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Turnbull, K. F., Balke, K., Sunkari, S., Charara, H., Bratlien, C., Tan, S., Higgins, L., Fitzpatrick, K., & Cherrington, L. (2020). Automated and Connected Vehicle (AV/CV) Test Bed to Improve Transit, Bicycle, and Pedestrian Safety: Phase II Technical Report (Report No. FHWA/TX-18/0-6875-01-R1, 0-6875-01-R1). Texas A&M Transportation Institute. https://rosap.ntl.bts.gov/view/dot/56545
Turnbull, Katherine F., Kevin Balke, Srinivasa Sunkari, Hassan Charara, Chris Bratlien, Shuman Tan, Laura Higgins, Kay Fitzpatrick, and Linda Cherrington. Automated and Connected Vehicle (AV/CV) Test Bed to Improve Transit, Bicycle, and Pedestrian Safety: Phase II Technical Report. Report no. FHWA/TX-18/0-6875-01-R1, 0-6875-01-R1. Texas A&M Transportation Institute, 2020. https://rosap.ntl.bts.gov/view/dot/56545.
Turnbull, Katherine F., et al. Automated and Connected Vehicle (AV/CV) Test Bed to Improve Transit, Bicycle, and Pedestrian Safety: Phase II Technical Report. Texas A&M Transportation Institute, 2020, Report no. FHWA/TX-18/0-6875-01-R1, 0-6875-01-R1, ROSA P. https://rosap.ntl.bts.gov/view/dot/56545.
This research develops an advanced Eco-Cooperative Adaptive Cruise Control System (Eco-CACC) for hybrid electric vehicles (HEVs) to pass signalized intersections with energy-optimized speed profiles, with the consideration of impacts by multiple signalized intersections. The research extends the Eco-CACC at signalized intersections (Eco-CACC-I) sys
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Chen, H., Rakha, H. A., Jeihani, M., & Ahangari, S. (2020). Developing and Testing an Advanced Hybrid Electric Vehicles Eco-Cooperative Adaptive Cruise Control System at Multiple Signalized Intersections (Report No. UMEC-023). Urban Mobility & Equity Center. https://rosap.ntl.bts.gov/view/dot/56821
Chen, Hao, Hesham A. Rakha, Mansoureh Jeihani, and Samira Ahangari. Developing and Testing an Advanced Hybrid Electric Vehicles Eco-Cooperative Adaptive Cruise Control System at Multiple Signalized Intersections. Report no. UMEC-023. Urban Mobility & Equity Center, 2020. https://rosap.ntl.bts.gov/view/dot/56821.
Chen, Hao, et al. Developing and Testing an Advanced Hybrid Electric Vehicles Eco-Cooperative Adaptive Cruise Control System at Multiple Signalized Intersections. Urban Mobility & Equity Center, 2020, Report no. UMEC-023, ROSA P. https://rosap.ntl.bts.gov/view/dot/56821.
Growing e-commerce volumes and consumer expectations of free and faster shipping are pushing the adoption of new delivery vehicles. New driverless air and ground vehicles are being launched and tested to deliver products or services by traditional package delivery companies or to support innovative ideas in retail, groceries, and healthcare. The nu
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Figliozzi, M. (2020). Modeling the Impacts of Regulations and Safe Constraint on UAVs Costs and Emissions (Report No. FMRI-Y2R6- 18). Freight Mobility Research Institute. Florida Atlantic University. https://rosap.ntl.bts.gov/view/dot/79808
Figliozzi, Miguel. Modeling the Impacts of Regulations and Safe Constraint on UAVs Costs and Emissions. Report no. FMRI-Y2R6- 18. Freight Mobility Research Institute. Florida Atlantic University, 2020. https://rosap.ntl.bts.gov/view/dot/79808.
Figliozzi, Miguel Modeling the Impacts of Regulations and Safe Constraint on UAVs Costs and Emissions. Freight Mobility Research Institute. Florida Atlantic University, 2020, Report no. FMRI-Y2R6- 18, ROSA P. https://rosap.ntl.bts.gov/view/dot/79808.
This report presents a study that conducted an assessment of the potential impacts, benefits, and impediments of the introduction of automated trucks and truck platooning on Texas highway infrastructure. The assessment included, but was not limited to, identification or review of the following: (a) any needed infrastructure hardening decisions and
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Birgisson, B., Morgan, C. A., Yarnold, M., Warner, J., Glover, B., Steadman, M. P., Srinivasa, S., Cai, S., & Lee, D. (2020). Evaluate Potential Impacts, Benefits, Impediments, and Solutions of Automated Trucks and Truck Platooning on Texas Highway Infrastructure: Technical Report (Report No. FHWA/TX-21/0-6984-R1, 0-6984-R1). Texas Department of Transportation. Research and Technology Implementation Office. https://rosap.ntl.bts.gov/view/dot/56551
Birgisson, Bjorn, Curtis A. Morgan, Matthew Yarnold, Jeffery Warner, Brianne Glover, Maxwell P Steadman, Sunkari Srinivasa, Shengxin Cai, and Dahye Lee. Evaluate Potential Impacts, Benefits, Impediments, and Solutions of Automated Trucks and Truck Platooning on Texas Highway Infrastructure: Technical Report. Report no. FHWA/TX-21/0-6984-R1, 0-6984-R1. Texas Department of Transportation. Research and Technology Implementation Office, 2020. https://rosap.ntl.bts.gov/view/dot/56551.
Birgisson, Bjorn, et al. Evaluate Potential Impacts, Benefits, Impediments, and Solutions of Automated Trucks and Truck Platooning on Texas Highway Infrastructure: Technical Report. Texas Department of Transportation. Research and Technology Implementation Office, 2020, Report no. FHWA/TX-21/0-6984-R1, 0-6984-R1, ROSA P. https://rosap.ntl.bts.gov/view/dot/56551.
A key challenge facing cities of today is the persistent and growing urban congestion that has significant adverse effects on economic productivity, emissions, driver frustration, and quality of life. The concept of smart cities, which can revolutionize the management of metropolitan transportation operations and infrastructure, shows great promise
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Seilabi, S. E., Tabesh, M., Davatgari, A., Miralinaghi, M., & Labi, S. (2020). Promoting Autonomous Vehicles Using Travel Demand and Lane Management Strategies. Frontiers in Built Environment. https://doi.org/10.3389/fbuil.2020.560116
Seilabi, Sania E, Mahmood Tabesh, Amir Davatgari, Mohammad Miralinaghi, and Samuel Labi. Promoting Autonomous Vehicles Using Travel Demand and Lane Management Strategies. Frontiers in Built Environment, 2020. https://doi.org/10.3389/fbuil.2020.560116.
Seilabi, Sania E, et al. Promoting Autonomous Vehicles Using Travel Demand and Lane Management Strategies. Frontiers in Built Environment, 2020, ROSA P. https://doi.org/10.3389/fbuil.2020.560116.
The Federal Railroad Administration (FRA) has engaged in several initiatives to help improve the safety of highway-rail crossings. To that end, FRA recently funded research through the Small Business Innovation Research (SBIR) program to encourage development of a drone-based inspection system for highway-rail grade crossings. Phase 1 of this SBIR
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Stuart, C., & Doran, J. (2020). AXIS: An Automated, Drone-Based, Grade Crossing Inspection System [Research Results] (Report No. RR 20-18). United States. Department of Transportation. Federal Railroad Administration. Office of Research, Development, and Technology. https://rosap.ntl.bts.gov/view/dot/53431
Stuart, Cameron and Joshua Doran. AXIS: An Automated, Drone-Based, Grade Crossing Inspection System [Research Results]. Report no. RR 20-18. United States. Department of Transportation. Federal Railroad Administration. Office of Research, Development, and Technology, 2020. https://rosap.ntl.bts.gov/view/dot/53431.
Stuart, Cameron, and Joshua Doran AXIS: An Automated, Drone-Based, Grade Crossing Inspection System [Research Results]. United States. Department of Transportation. Federal Railroad Administration. Office of Research, Development, and Technology, 2020, Report no. RR 20-18, ROSA P. https://rosap.ntl.bts.gov/view/dot/53431.
The number of vehicles with advanced driver-assist systems (ADAS) that can simultaneously perform automated steering and acceleration is increasing, with the expectation that these capabilities will be available in low-cost models as well as luxury cars. These systems require human drivers to be alert and available at all times in case they need to
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Bauchwitz, B., & Cummings, M. L. (2020). Evaluating Reliability of Tesla Model 3 Driver Assist Functions (Report No. CSCRS-R{X}). Collaborative Sciences Center for Road Safety. https://rosap.ntl.bts.gov/view/dot/73716
Bauchwitz, Benjamin and M. L Cummings. Evaluating Reliability of Tesla Model 3 Driver Assist Functions. Report no. CSCRS-R{X}. Collaborative Sciences Center for Road Safety, 2020. https://rosap.ntl.bts.gov/view/dot/73716.
Bauchwitz, Benjamin, and M. L Cummings Evaluating Reliability of Tesla Model 3 Driver Assist Functions. Collaborative Sciences Center for Road Safety, 2020, Report no. CSCRS-R{X}, ROSA P. https://rosap.ntl.bts.gov/view/dot/73716.
Connected and Autonomous Vehicles (CAVs) have gained huge expectations in improving safety, efficiency, and environmental friendliness for transportation. However, they are still at a relatively early stage of development, and little attention has been paid to the readiness of roadway infrastructure. The focus of this report will be on infrastructu
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Jafari, M. A., Jin, P. J., Di, S., Huang, Y., & Wang, Y. (2020). Infrastructure Readiness for Electric, Connected and Automated Vehicles-Policies, Planning, and Pilot Testing on Infrastructure Readiness for Electrical, Connected, Automated, and Ridesharing Vehicles (Report No. CAIT-UTC-REG10). Center for Advanced Infrastructure and Transportation (CAIT) (UTC). https://rosap.ntl.bts.gov/view/dot/82862
Jafari, Mohsen A, Peter J. Jin, Sharon Di, Yufei Huang, and Yizhou Wang. Infrastructure Readiness for Electric, Connected and Automated Vehicles-Policies, Planning, and Pilot Testing on Infrastructure Readiness for Electrical, Connected, Automated, and Ridesharing Vehicles. Report no. CAIT-UTC-REG10. Center for Advanced Infrastructure and Transportation (CAIT) (UTC), 2020. https://rosap.ntl.bts.gov/view/dot/82862.
Jafari, Mohsen A, et al. Infrastructure Readiness for Electric, Connected and Automated Vehicles-Policies, Planning, and Pilot Testing on Infrastructure Readiness for Electrical, Connected, Automated, and Ridesharing Vehicles. Center for Advanced Infrastructure and Transportation (CAIT) (UTC), 2020, Report no. CAIT-UTC-REG10, ROSA P. https://rosap.ntl.bts.gov/view/dot/82862.
Autonomous vehicles (AVs) are rapidly emerging in United States cities, leaving urban and regional planning institutions unsure how to plan and develop policies. This paper analyzes how regional transportation plans (RTPs) developed by metropolitan planning organizations (MPOs) are approaching the risks and opportunities presented by AVs. Among 52
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Miller, T., Pendyala, R. M., McAslan, D., & Gabriele, M. (2020). Emerging Approaches to Autonomous Vehicles in Transportation Policy and Planning. Center for Teaching Old Models New Tricks (TOMNET). https://rosap.ntl.bts.gov/view/dot/74102
Miller, Thaddeus, Ram M. Pendyala, Devon McAslan, and Max Gabriele. Emerging Approaches to Autonomous Vehicles in Transportation Policy and Planning. Center for Teaching Old Models New Tricks (TOMNET), 2020. https://rosap.ntl.bts.gov/view/dot/74102.
Miller, Thaddeus, et al. Emerging Approaches to Autonomous Vehicles in Transportation Policy and Planning. Center for Teaching Old Models New Tricks (TOMNET), 2020, ROSA P. https://rosap.ntl.bts.gov/view/dot/74102.
The goal of this project is to improve mobility in urban street networks by developing a methodology for dynamic speed harmonization suitable for connected urban street networks. The methodology aims at finding optimal advisory speeds on each transportation link that will be transferred to connected and autonomous vehicles, with the objective of re
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Hajbabaie, A., & Tajalli, M. (2020). Dynamic Speed Harmonization in Connected Urban Street Networks: Improving Mobility (Report No. 2019 Project 17;CAMMSE-UNCC-2019-UTC-Project-17). University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education. https://rosap.ntl.bts.gov/view/dot/57029
Hajbabaie, Ali and Mehrdad Tajalli. Dynamic Speed Harmonization in Connected Urban Street Networks: Improving Mobility. Report no. 2019 Project 17;CAMMSE-UNCC-2019-UTC-Project-17. University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education, 2020. https://rosap.ntl.bts.gov/view/dot/57029.
Hajbabaie, Ali, and Mehrdad Tajalli Dynamic Speed Harmonization in Connected Urban Street Networks: Improving Mobility. University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education, 2020, Report no. 2019 Project 17;CAMMSE-UNCC-2019-UTC-Project-17, ROSA P. https://rosap.ntl.bts.gov/view/dot/57029.
This research will develop guidelines and recommendations for estimating and predicting intersection efficiency in the presence of connected and autonomous vehicles (CAVs) and therefore will lead to a better understanding of how CAVs will improve mobility at signalized intersections. To better understand the impact of CAVs on the operation of signa
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Fan, W. (., & Liu, P. (2020). Trajectory Optimization of Connected and Autonomous Vehicles (CAVs) at Signalized Intersections. University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education. https://rosap.ntl.bts.gov/view/dot/57057
Fan, Wei (David) and Pengfei Liu. Trajectory Optimization of Connected and Autonomous Vehicles (CAVs) at Signalized Intersections. University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education, 2020. https://rosap.ntl.bts.gov/view/dot/57057.
Fan, Wei (David), and Pengfei Liu Trajectory Optimization of Connected and Autonomous Vehicles (CAVs) at Signalized Intersections. University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education, 2020, ROSA P. https://rosap.ntl.bts.gov/view/dot/57057.
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