Cited by 235Traffic control and managementVehicular Ad Hoc Networks (VANETs)Traffic and Road Safety

The DOI matches its Crossref record.

Highway Capacity Benefits from Using Vehicle-to-Vehicle Communication and Sensors for Collision Avoidance

Tientrakool, Patcharinee, Ho, Ya-Chi, Maxemchuk, Nicholas F.·2011·2011 IEEE Vehicular Technology Conference (VTC Fall)

Abstract

Several automobile manufacturers are offering assisted driving systems that use sensors to automatically brake automobiles to avoid collisions. Before extensively deploying these systems, we should determine how they will affect highway capacity. The goal of this paper is to compare the highway capacity when using sensors alone and when using sensors and vehicle-to-vehicle communication. To achieve this goal, the rules for using both technologies to prevent collisions are proposed, and highway capacity is estimated based on these rules. We show that both technologies can increase highway capacity. The increase in capacity is a function of the fraction of the vehicles that use a technology. If all of the vehicles use sensors alone, the increase in highway capacity is about 43%. While if all of the vehicles use both sensors and vehicle-to-vehicle communication, the increase is about 273%.

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Crossref · 10.1109/vetecf.2011.6093130

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  • An increase in road capacity can be expected due to the introduction of autonomous vehicles, mainly attributed to reduced headways.

    “An increase in road capacity can be expected due to the introduction of autonomous vehicles, mainly attributed to reduced headways”

    From Shared autonomous vehicle services: A comprehensive review (2020) · cites this paper as Tientrakool et al., 2011

Citations

Cites

No references could be resolved yet.

Research works printed but not linked: 11

  1. vanderwerf, 2001, Evaluation of the effects of adaptive cruise control systems on highway traffic flow capacity and implications for deployment of future automated systems, Pre-Print CD-ROM of 81 st TRB Annual Meeting
  2. 10.1016/S0968-090X(97)00020-X · DOI
  3. 10.1680/cpdh.34389 · DOI
  4. kanaris, 1996, Spacing and Capacity Evaluations for Different AHS Concepts, California Partners for Advanced Transit and Highways (PATH)
  5. 10.4271/951929 · DOI
  6. 10.1109/ITSC.2010.5625083 · DOI
  7. 10.1109/TVT.2007.905011 · DOI
  8. mehmood, 2009, Modeling Reaction Time in Car-Following Behaviour Based on Human Factors, International journal of applied science engineering and technology, 5, 93
  9. 10.1109/IVS.2000.898313 · DOI
  10. 2000, Transportation Research Board Highway Capacity Manual National Research Council, 2
  11. 10.1109/SURV.2009.090202 · DOI

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Metadata

Authors
Tientrakool, P., Ho, Y.-C., & Maxemchuk, N. F.
Affiliations
Columbia University (US)
Venue
2011 IEEE Vehicular Technology Conference (VTC Fall)
Publisher
IEEE
Published
2011-09
Pages
1-5
ISSN
1090-3038 (ISSN-L)
OpenAlex
W2113523706
Cited by
235
References
0
Citations by year
2026: 4 · 2025: 12 · 2024: 17 · 2023: 32 · 2022: 20 · 2021: 30 · 2020: 24 · 2019: 25 · 2018: 20 · 2017: 13 · 2016: 11 · 2015: 9 · 2014: 8 · 2013: 9 · 2012: 1
FWCI
9.63
Type
conference paper
Language
en
Open access
closed
Locations
  • IEEE Vehicular Technology Conference (publishedVersion)
  • IMDEA Networks Institute Digital Repository (submittedVersion)
Topics
  • Physical Sciences › Engineering › Control and Systems Engineering › Traffic control and management
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Vehicular Ad Hoc Networks (VANETs)
  • Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Traffic and Road Safety
Keywords
road capacity, vehicle-to-vehicle communication, collision avoidance, automated braking, automotive sensors, traffic flow, technology adoption, collision avoidance rules

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