Date of Publication :22nd November 2021
Abstract: This explores autonomous (also called self-driving, driverless or robotic) vehicle benefits and costs, and implications for various planning issues. It investigates how quickly self-driving vehicles are likely to be developed and deployed based on experience with previous vehicle technologies, their benefits and costs, and how they are likely to affect travel demands and planning decisions such as optimal road, parking and public transit supply. This analysis indicates that some benefits, such as more independent mobility for affluent non-drivers, may begin in the 2020s or 2030s, but most impacts, including reduced traffic and parking congestion (and therefore infrastructure savings), independent mobility for low-income people (and therefore reduced need for public transit), increased safety, energy conservation and pollution reductions, will only be significant when autonomous vehicles become common and affordable, probably in the 2040s to 2050s, and some benefits may require prohibiting human-driven vehicles on certain roadways, which could take even longer.
Reference :
-
- Shusmitha BC, Pranjali Ulhe, Samta Gawande, Kajol Taksande, Ankita Bakade, Image processing on Road detection, Proceedings of 19th IRF International Conference, 1st February 2015.
- Sunil Kumar Vishwakarma, Akash, Divakar Singh Yadav, Analysis of Lane Detection Techniques using OpenCV‖, 2015 IEEE.
- Thomas Bucher, Cristobal Curio, Johann Edelbrunner, Christian Igel, Image Processing and Behavior Planning for Intelligent Vehicles, IEEE Transactions On Industrial Electronics, VOL. 50, NO. 1, February 2003.
- Farid Bounini, Denis Gingras, Vincent Lapointe, Herve Pollart, Autonomous Vehicle And Real Time Road Lanes Detection And Tracking, 2015 IEEE.
- https://en.wikipedia.org/wiki/Selfdriving_car#Autonomous_vs._automatd https://zhengludwig.wordpress.com/projects/self-drivingrc- car