@inproceedings{37ff6677db6d499aae1f38982b7b14eb,
title = "AMaze: Non-Stop Source to Destination Optimal Vehicle Scheduling",
abstract = "In the era of autonomous vehicles, optimizing and orchestrating the travel routes for all vehicles on roads is crucial to enhance traffic flow and efficiency. Travel Route Scheduling (TRS) aims to determine the shortest route (in terms of individual arrival time) to the destination while avoiding stops at intersections. Given the current global road state, TRS finds the shortest route for the next to-enter vehicle. This study assumes that vehicles are remotely controlled/instructed and are semi-autonomous or autonomous, with the control center constantly aware of their location, speed, and final destination. Under these assumptions, the algorithms presented in this work offer an optimal solution. The primary algorithm in this work is based on Dijkstra{\textquoteright}s algorithm, where the weights of the edges dynamically change.",
keywords = "Autonomous Vehicles, Intersection, Scheduling, Traffic Management",
author = "Hannah Yair and Shlomi Dolev and Ehud Gudes",
note = "Publisher Copyright: {\textcopyright} 2024 The Authors.; 8th International Conference on Intelligent Traffic and Transportation, ICITT 2024 - incorporating the 8th International Conference on Communication and Network Technology, ICCNT 2024 ; Conference date: 16-09-2024 Through 18-09-2024",
year = "2024",
month = jan,
day = "1",
doi = "10.3233/ATDE241207",
language = "English",
series = "Advances in Transdisciplinary Engineering",
publisher = "IOS Press BV",
pages = "329--338",
editor = "Mahmoud Shafik",
booktitle = "Moving Integrated Product Development to Service Clouds in the Global Economy - Proceedings of the 21st ISPE Inc. International Conference on Concurrent Engineering, CE 2014",
address = "Netherlands",
}
