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Quantifying the Impact of Autonomous Vehicles using Microscopic Simulations

Published: 05 November 2019 Publication History

Abstract

We use traffic simulations to quantify the impact of autonomous vehicles in various traffic scenarios, where vehicles at higher automation levels behave more opportunistically in car-following and lane-changing and can react to road situations more quickly. Our experimental results show that an increased automation level can improve traffic efficiency but may lead to more potential conflicts between vehicles, which should not be neglected if human drivers still need to take part in the driving.

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      cover image ACM Conferences
      IWCTS'19: Proceedings of the 12th ACM SIGSPATIAL International Workshop on Computational Transportation Science
      November 2019
      89 pages
      ISBN:9781450369671
      DOI:10.1145/3357000
      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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      Published: 05 November 2019

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      Author Tags

      1. autonomous vehicle
      2. experimental study
      3. traffic simulation

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      • (2023)Traffic Safety Sensitivity Analysis of Parameters Used for Connected and Autonomous Vehicle CalibrationSustainability10.3390/su1513999015:13(9990)Online publication date: 23-Jun-2023
      • (2023)In Search of Severity Dimensions of Traffic Conflicts for Different Simulated Mixed Fleets Involving Connected and Autonomous VehiclesJournal of Advanced Transportation10.1155/2023/41161082023(1-21)Online publication date: 20-May-2023
      • (2023)Studying Traffic Safety During the Transition Period Between Manual Driving and Autonomous Driving: A Simulation-Based ApproachIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2023.324197024:6(6690-6710)Online publication date: 16-Feb-2023
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      • (2023)Application of surrogate safety measures in higher levels of automated vehicles simulation studies: A review of the state of the practiceTraffic Injury Prevention10.1080/15389588.2023.217671124:3(279-286)Online publication date: 14-Feb-2023
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      • (2021)How Will the Technological Shift in Transportation Impact Cities? A Review of Quantitative Studies on the Impacts of New Transportation TechnologiesSustainability10.3390/su1306301313:6(3013)Online publication date: 10-Mar-2021
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