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Infrastructure Bandwidth Allocation for Social Welfare Maximization in Future Connected Autonomous Vehicular Networks

Published: 20 October 2017 Publication History

Abstract

Control of conventional transportation networks aims at bringing the state of the network to the system optimal (SO) state. This optimum is characterized by the minimality of the social cost function, i.e., the total cost of travel of all drivers. On the other hand, drivers are assumed to be rational and selfish, and make their travel decisions to optimize their own travel costs, bringing the state of the network to a user equilibrium (UE). In this paper, we model the behavior of users in the future connected vehicular transportation networks, where users consider both the travel cost and the utility from data communication when making their travel decisions. We divide the users into two groups based on the kind of data network they are using. We leverage the data communication aspect of the decision making to influence the user route choices, driving the UE state to the SO state. We propose a V2I bandwidth allocation scheme, which provides a guideline on how the system operator can adjust the parameters of the communication network to achieve the optimal UE.

References

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Cited By

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  • (2020)Traffic Flow Control in Vehicular Multi-Hop Networks With Data Caching and Infrastructure SupportIEEE/ACM Transactions on Networking10.1109/TNET.2020.296393028:1(376-386)Online publication date: 14-Feb-2020

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cover image ACM Conferences
CarSys '17: Proceedings of the 2nd ACM International Workshop on Smart, Autonomous, and Connected Vehicular Systems and Services
October 2017
94 pages
ISBN:9781450351461
DOI:10.1145/3131944
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 20 October 2017

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Author Tags

  1. system optimal
  2. traffic control
  3. user equilibrium
  4. vehicular communication networks

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Overall Acceptance Rate 8 of 20 submissions, 40%

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Cited By

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  • (2020)Traffic Flow Control in Vehicular Multi-Hop Networks With Data Caching and Infrastructure SupportIEEE/ACM Transactions on Networking10.1109/TNET.2020.296393028:1(376-386)Online publication date: 14-Feb-2020

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