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Can I read Congestion-Aware Ride-Sharing on EtoBox?

Congestion-Aware Ride-Sharing by Oscar Correa; A. K. M. Mustafizur Rahman Khan; Egemen Tanin; Lars Kulik; Kotagiri Ramamohanarao is a Computer Science article available to read on EtoBox.

What is Congestion-Aware Ride-Sharing about?

In its current form, ride-sharing is responsible for a small fraction of traffic load compared to other transportation modes, especially private vehicles. As its benefits became more evident, and obstacles, e.g., lack of liability legislation, that may hinder its larger scale adoption are being overcome, ride-sharing will be a more common mode of transportation. In particular, autonomous vehicles (AVs) are showing their proficiency on the roads, which may also catalyze ride-sharing ubiquity. For example, while an AV owner is at work, he may find it appealing to offer his AV as a service or rent it to Uber so that the vehicle serves others’ transportation requests. Furthermore, this disruptive technology is backed up by companies like Google (Waymo), Tesla, and Uber. Therefore, ride-sharing will soon become a source of traffic congestion itself. In this article, we present an efficient congestion-aware ride-sharing algorithm which, instead of finding optimal travel plans based on traffic load generated by other means of transportation, it computes optimal travel plans for thousands of ride-sharing requests within a time interval. Note that in this problem, an optimal travel plan for

Who reads Congestion-Aware Ride-Sharing?

It is typically read by researchers, students, and practitioners in Computer Science.

Author
Oscar Correa; A. K. M. Mustafizur Rahman Khan; Egemen Tanin; Lars Kulik; Kotagiri Ramamohanarao
Publisher
ACM
Published
2019
Language
EN
Field
Computer Science (Physical Sciences)

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