Modeling and Assessing the Influence of Connected and Automated Vehicle Penetration Rates on Urban Arterial Road Operational Performance-Reference-Cited by-同舟云学术

Modeling and Assessing the Influence of Connected and Automated Vehicle Penetration Rates on Urban Arterial Road Operational Performance

Published:2020-08-31 Issue: Volume: Page:
ISSN:
Container-title:International Conference on Transportation and Development 2020
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Author:

Mathew Sonu¹¹²,Duvvuri Sarvani¹¹²,Pulugurtha Srinivas S.¹¹²

Affiliation:

1. Ph.D. Program, Infrastructure and Environmental Systems (INES), Univ. of North Carolina at Charlotte, Charlotte, NC.

2. Civil and Environmental Engineering Dept., Infrastructure, Design, Environment, and Sustainability (IDEAS) Center, Univ. of North Carolina at Charlotte, Charlotte, NC.

Publisher

American Society of Civil Engineers

Link

http://ascelibrary.org/doi/pdf/10.1061/9780784483138.009

Reference19 articles.

1. Bierstedt J. Gooze A. Gray C. Peterman J. Raykin L. and Walters J. (2014). “Effects of next-generation vehicles on travel demand and highway capacity.” FP Think Working Group 10-11.

2. Bimbraw K. (2015). “Autonomous cars: past present and future a review of the developments in the last century the present scenario and the expected future of autonomous vehicle technology.” In 2015 12th International Conference on Informatics in Control Automation and Robotics (ICINCO) IEEE 1 191-198.

3. Bohm F. and Häger K. (2015). “Introduction of Autonomous Vehicles in the Swedish Traffic System: Effects and Changes Due to the New Self-Driving Car Technology.” (July 25 2019).

4. Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations

5. How reaction time, update time, and adaptation time influence the stability of traffic flow.;Kesting A.;Computer-Aided Civil and Infrastructure Engineering,2008

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