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Journal of Intelligent Transportation Systems
Technology, Planning, and Operations
Volume 24, 2020 - Issue 1
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Original Articles

Informed decision-making by integrating historical on-road driving performance data in high-resolution maps for connected and automated vehicles

Jun LiuDepartment of Civil, Construction and Environmental Engineering, The University of Alabama, Tuscaloosa, Alabama, USA; Correspondence[email protected]
ORCID Iconhttp://orcid.org/0000-0002-6336-4931View further author information
ORCID Icon &
Asad KhattakDepartment of Civil and Environmental Engineering, University of Tennessee, Knoxville, Tennessee, USAORCID Iconhttp://orcid.org/0000-0002-0790-7794View further author information
ORCID Icon
Pages 11-23 | Received 30 Nov 2017, Accepted 01 Oct 2018, Published online: 09 Dec 2019

Citations (13)

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Read on this site (3)

Jun Liu, Xing Fu, Alexander Hainen, Chenxuan Yang, Leon Villavicencio & William J. Horrey. (2023) Evaluating the impacts of vehicle-mounted Variable Message Signs on passing vehicles: implications for protecting roadside incident and service personnel. Journal of Intelligent Transportation Systems 0:0, pages 1-21.
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Xing Fu, Qifan Nie, Jun Liu, Asad Khattak, Alexander Hainen & Shashi Nambisan. (2022) Constructing spatiotemporal driving volatility profiles for connected and automated vehicles in existing highway networks. Journal of Intelligent Transportation Systems 26:5, pages 572-585.
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Qiang Li, Ran Liu, Jianshen Zhao & Hu-Chen Liu. (2022) Passenger satisfaction evaluation of public transport using alternative queuing method under hesitant linguistic environment. Journal of Intelligent Transportation Systems 26:3, pages 330-342.
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Articles from other publishers (10)

Jun Liu, Ningzhe Xu, Yangming Shi, MD Mizanur Rahman, Timothy Barnett & Steven Jones. (2023) Do first responders trust connected and automated vehicles (CAVs)? A national survey. Transport Policy 140, pages 85-99.
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Swati Jaiswal & B. Chandra Mohan. (2023) Deep learning-based path tracking control using lane detection and traffic sign detection for autonomous driving. Web Intelligence, pages 1-23.
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Xing Fu, Jun Liu, Zhitong Huang, Alex Hainen & Asad J. Khattak. (2023) LSTM-based lane change prediction using Waymo open motion dataset: The role of vehicle operating space. Digital Transportation and Safety 2:1, pages 112-123.
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Dan-Bi Um. (2021) Legal Evaluation for Security Exception Claims About the Cross-Border Transfer of the Korean Map: A Case of Google. Social Science Computer Review 40:5, pages 1114-1132.
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Sunit Mistry, Lili Wang, Yousuf Islam & Frimpong Atta Junior Osei. (2022) A Comprehensive Study on Healthcare Datasets Using AI Techniques. Electronics 11:19, pages 3146.
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Mengyuan Huang, Shiwu Li, Mengzhu Guo & Lihong Han. (2021) A Decision-Making Model for Self-Driving Vehicles Based on Overtaking Frequency. Journal of Advanced Transportation 2021, pages 1-13.
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Abhiyan Gurung. (2021) Data security and privacy in cloud computing focused on transportation sector with the aid of block chain approach. Data security and privacy in cloud computing focused on transportation sector with the aid of block chain approach.
Jun Liu, Asad Khattak, Lee Han & Quan Yuan. (2020) How much information is lost when sampling driving behavior data? Indicators to quantify the extent of information loss. Journal of Intelligent and Connected Vehicles 3:1, pages 17-29.
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Amelec Viloria, Omar Bonerge Pineda Lezama, Noel Varela & Jorge Luis Diaz Martínez. 2020. Computing Science, Communication and Security. Computing Science, Communication and Security 82 94 .
Amelec Viloria, Omar Bonerge Pineda Lezama, Noel Varela & Jorge Luis Diaz Martínez. 2020. Computing Science, Communication and Security. Computing Science, Communication and Security 210 221 .

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