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Collective Data Sharing to Improve on Driving Efficiency and Safety

Published: 17 September 2014 Publication History

Abstract

Traffic is a social system in which road users have their own personality and steer their cars based on learned behavior, experience, and familiarity with situations or street sections. The assumption of this work is, that traffic efficiency and safety could be enhanced when the more competent road users support the less competent ones by sharing data about specific road characteristics and providing steering recommendations. This information should help the latter to move its vehicle in a more efficient and safe way. We thus designed, prototyped, and tested a "Social driving app" that allows experienced drivers to collect and share driving data (speed, gear, brake force, etc.) and that generates, based on the aggregated driving profiles of experts, steering recommendations for the lay drivers. By introducing a ranking system to motivate the individual drivers to follow the instructions from the system, the project further examined the influence of social pressure on driving performance.

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Cited By

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  • (2024)IBTD: A novel ISAC beam tracking based on deep reinforcement learning for mmWave V2V networksIET Communications10.1049/cmu2.12835Online publication date: 20-Sep-2024
  • (2022)A review of gamified approaches to encouraging eco-drivingFrontiers in Psychology10.3389/fpsyg.2022.97085113Online publication date: 2-Sep-2022
  • (2020)Should I Stay or Should I Go? Automated Vehicles in the Age of Climate ChangeExtended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3334480.3375162(1-8)Online publication date: 25-Apr-2020
  • Show More Cited By

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cover image ACM Other conferences
AutomotiveUI '14: Adjunct Proceedings of the 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
September 2014
271 pages
ISBN:9781450307253
DOI:10.1145/2667239
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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 September 2014

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Author Tags

  1. Driver-vehicle interaction
  2. Field operational test (FOT)
  3. NASA TLX
  4. Social driving
  5. Steering recommender system

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AutomotiveUI '14

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Overall Acceptance Rate 248 of 566 submissions, 44%

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Cited By

View all
  • (2024)IBTD: A novel ISAC beam tracking based on deep reinforcement learning for mmWave V2V networksIET Communications10.1049/cmu2.12835Online publication date: 20-Sep-2024
  • (2022)A review of gamified approaches to encouraging eco-drivingFrontiers in Psychology10.3389/fpsyg.2022.97085113Online publication date: 2-Sep-2022
  • (2020)Should I Stay or Should I Go? Automated Vehicles in the Age of Climate ChangeExtended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3334480.3375162(1-8)Online publication date: 25-Apr-2020
  • (2019)A Survey on Recent Advances in Vehicular Network Security, Trust, and PrivacyIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2018.281888820:2(760-776)Online publication date: Feb-2019
  • (2019)TEAM Applications for Collaborative Road MobilityIEEE Transactions on Industrial Informatics10.1109/TII.2018.285000515:2(1105-1119)Online publication date: Feb-2019
  • (2019)Vehicular Data Space: The Data Point of ViewIEEE Communications Surveys & Tutorials10.1109/COMST.2019.291190621:3(2392-2418)Online publication date: Nov-2020
  • (2018)Amelio-rater: Detection and Classification of Driving Abnormal Behaviours for Automated Ratings and Real-Time Monitoring2018 13th International Conference on Computer Engineering and Systems (ICCES)10.1109/ICCES.2018.8639398(609-616)Online publication date: Dec-2018
  • (2017)Systematic Literature Review on Automotive Diagnostics2017 VII Brazilian Symposium on Computing Systems Engineering (SBESC)10.1109/SBESC.2017.7(1-8)Online publication date: Nov-2017
  • (2015)Fuel-Optimal Cruising Strategy for Road Vehicles With Step-Gear Mechanical TransmissionIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2015.245972216:6(3496-3507)Online publication date: Dec-2015
  • (2014)Social Driving ServicesAdjunct Proceedings of the 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/2667239.2667289(1-4)Online publication date: 17-Sep-2014

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