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Impacts of Different Types of Automated Vehicles on Traffic Flow Characteristics and Emissions : A Microscopic Traffic Simulation of Different Freeway Segments

Beza, Abebe Dress (author)
Bahir Dar Univ, Fac Civil & Water Resources Engn, Bahir Dar Inst Technol, POB 26, Bahir Dar, Ethiopia.;Univ Mons, Fac Engn, B-7000 Mons, Belgium.
Zefreh, Mohammad Maghrour (author)
KTH,Transportplanering
Torok, Adam (author)
Budapest Univ Technol & Econ, Dept Transport Technol & Econ, H-1111 Budapest, Hungary.;KTI Inst Transport Sci, Dept Transport Policy & Econ, H-1111 Budapest, Hungary.
Bahir Dar Univ, Fac Civil & Water Resources Engn, Bahir Dar Inst Technol, POB 26, Bahir Dar, Ethiopia;Univ Mons, Fac Engn, B-7000 Mons, Belgium. Transportplanering (creator_code:org_t)
2022-09-13
2022
English.
In: Energies. - : MDPI AG. - 1996-1073. ; 15:18
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Different types of automated vehicles (AVs) have emerged promptly in recent years, each of which might have different potential impacts on traffic flow and emissions. In this paper, the impacts of autonomous automated vehicles (AAVs) and cooperative automated vehicles (CAVs) on capacity, average traffic speed, average travel time per vehicle, and average delay per vehicle, as well as traffic emissions such as carbon dioxide (CO2), nitrogen oxides (NOx), and particulate matter (PM10) have been investigated through a microsimulation study in VISSIM. Moreover, the moderating effects of different AV market penetration, and different freeway segments on AV's impacts have been studied. The simulation results show that CAVs have a higher impact on capacity improvement regardless of the type of freeway segment. Compared to other scenarios, CAVs at 100% market penetration in basic freeway segments have a greater capacity improvement than AAVs. Furthermore, merging, diverging, and weaving segments showed a moderating effect on capacity improvements, particularly on CAVs' impact, with merging and weaving having the highest moderating effect on CAVs' capacity improvement potential. Taking average delay per vehicle, average traffic speed, and average travel time per vehicle into account, simulation results were diverse across the investigated scenarios. The emission estimation results show that 100% AAV scenarios had the best performance in emission reductions in basic freeway and merging sections, while other scenarios increased emissions in diverging and weaving sections.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Kardiologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Cardiac and Cardiovascular Systems (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Materialteknik -- Bearbetnings-, yt- och fogningsteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Materials Engineering -- Manufacturing, Surface and Joining Technology (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Cancer and Oncology (hsv//eng)

Keyword

cooperative automated vehicles
autonomous automated vehicles
microscopic simulation
experimental analysis
traffic flow
traffic emissions
freeway segments

Publication and Content Type

ref (subject category)
art (subject category)

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Beza, Abebe Dres ...
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Torok, Adam
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MEDICAL AND HEALTH SCIENCES
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and Clinical Medicin ...
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ENGINEERING AND TECHNOLOGY
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