Quantifying the Mobility and Energy Benefits of Automated Mobility Districts Using Microscopic Traffic Simulation

Lei Zhu; Venu Garikapati; Yi Hou; Stanley Young; Yuche Chen; H.M. Abdul Aziz

doi:10.1061/9780784481530.010

Quantifying the Mobility and Energy Benefits of Automated Mobility Districts Using Microscopic Traffic Simulation

Lei Zhu, Venu Garikapati, Yi Hou, Stanley Young, Yuche Chen, H.M. Abdul Aziz

Center for Integrated Mobility Sciences

Research output: Contribution to conference › Paper › peer-review

7 Scopus Citations

Abstract

Connected and automated vehicles (CAVs) are increasingly being discussed as the basis for shared mobility and on-demand services to replace privately owned vehicles. The rapid growth of transportation networking companies (TNCs) and their increasing investment in automated vehicle (AV) technologies attests to this. Combining the concepts of TNCs, with AV and on-demand transit services, the term "automated mobility district" (AMD) describes a district-scale implementation of CAV technology to realize the full benefits of a shared, fully automated vehicle service within a confined region. This research effort provides a modeling architecture for AMDs along with a preliminary analysis to quantify the mobility and energy benefits of such districts. A customized open-source microscopic mobility simulation toolkit built on the simulation of urban mobility (SUMO) platform is implemented for AMD performance evaluation. Experimental scenarios are tested with different combinations of operational variables to provide insights on energy and mobility gains that can be realized in AMDs.

Original language	American English
Pages	98-108
Number of pages	11
DOIs	https://doi.org/10.1061/9780784481530.010 https://doi.org/10.1061/9780784481530.010
State	Published - 2018
Event	International Conference on Transportation and Development 2018: Connected and Autonomous Vehicles and Transportation Safety, ICTD 2018 - Pittsburgh, United States Duration: 15 Jul 2018 → 18 Jul 2018

Conference

Conference	International Conference on Transportation and Development 2018: Connected and Autonomous Vehicles and Transportation Safety, ICTD 2018
Country/Territory	United States
City	Pittsburgh
Period	15/07/18 → 18/07/18

Bibliographical note

Publisher Copyright:
© 2018 American Society of Civil Engineers.

NREL Publication Number

NREL/CP-5400-70935

Keywords

AMD
automated electric shuttle
automated mobility district
CAVs
connected and automated vehicles
FASTSim
shared mobility
simulation of urban mobility
transportation networking companies

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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Cite this

Zhu, L., Garikapati, V., Hou, Y., Young, S., Chen, Y., & Abdul Aziz, H. M. (2018). Quantifying the Mobility and Energy Benefits of Automated Mobility Districts Using Microscopic Traffic Simulation. 98-108. Paper presented at International Conference on Transportation and Development 2018: Connected and Autonomous Vehicles and Transportation Safety, ICTD 2018, Pittsburgh, United States. https://doi.org/10.1061/9780784481530.010, https://doi.org/10.1061/9780784481530.010

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abstract = "Connected and automated vehicles (CAVs) are increasingly being discussed as the basis for shared mobility and on-demand services to replace privately owned vehicles. The rapid growth of transportation networking companies (TNCs) and their increasing investment in automated vehicle (AV) technologies attests to this. Combining the concepts of TNCs, with AV and on-demand transit services, the term {"}automated mobility district{"} (AMD) describes a district-scale implementation of CAV technology to realize the full benefits of a shared, fully automated vehicle service within a confined region. This research effort provides a modeling architecture for AMDs along with a preliminary analysis to quantify the mobility and energy benefits of such districts. A customized open-source microscopic mobility simulation toolkit built on the simulation of urban mobility (SUMO) platform is implemented for AMD performance evaluation. Experimental scenarios are tested with different combinations of operational variables to provide insights on energy and mobility gains that can be realized in AMDs.",

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doi = "10.1061/9780784481530.010",

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Zhu, L, Garikapati, V, Hou, Y, Young, S, Chen, Y & Abdul Aziz, HM 2018, 'Quantifying the Mobility and Energy Benefits of Automated Mobility Districts Using Microscopic Traffic Simulation', Paper presented at International Conference on Transportation and Development 2018: Connected and Autonomous Vehicles and Transportation Safety, ICTD 2018, Pittsburgh, United States, 15/07/18 - 18/07/18 pp. 98-108. https://doi.org/10.1061/9780784481530.010, https://doi.org/10.1061/9780784481530.010

Quantifying the Mobility and Energy Benefits of Automated Mobility Districts Using Microscopic Traffic Simulation. / Zhu, Lei; Garikapati, Venu; Hou, Yi et al.
2018. 98-108 Paper presented at International Conference on Transportation and Development 2018: Connected and Autonomous Vehicles and Transportation Safety, ICTD 2018, Pittsburgh, United States.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - Quantifying the Mobility and Energy Benefits of Automated Mobility Districts Using Microscopic Traffic Simulation

AU - Zhu, Lei

AU - Garikapati, Venu

AU - Hou, Yi

AU - Young, Stanley

AU - Chen, Yuche

AU - Abdul Aziz, H.M.

PY - 2018

Y1 - 2018

N2 - Connected and automated vehicles (CAVs) are increasingly being discussed as the basis for shared mobility and on-demand services to replace privately owned vehicles. The rapid growth of transportation networking companies (TNCs) and their increasing investment in automated vehicle (AV) technologies attests to this. Combining the concepts of TNCs, with AV and on-demand transit services, the term "automated mobility district" (AMD) describes a district-scale implementation of CAV technology to realize the full benefits of a shared, fully automated vehicle service within a confined region. This research effort provides a modeling architecture for AMDs along with a preliminary analysis to quantify the mobility and energy benefits of such districts. A customized open-source microscopic mobility simulation toolkit built on the simulation of urban mobility (SUMO) platform is implemented for AMD performance evaluation. Experimental scenarios are tested with different combinations of operational variables to provide insights on energy and mobility gains that can be realized in AMDs.

AB - Connected and automated vehicles (CAVs) are increasingly being discussed as the basis for shared mobility and on-demand services to replace privately owned vehicles. The rapid growth of transportation networking companies (TNCs) and their increasing investment in automated vehicle (AV) technologies attests to this. Combining the concepts of TNCs, with AV and on-demand transit services, the term "automated mobility district" (AMD) describes a district-scale implementation of CAV technology to realize the full benefits of a shared, fully automated vehicle service within a confined region. This research effort provides a modeling architecture for AMDs along with a preliminary analysis to quantify the mobility and energy benefits of such districts. A customized open-source microscopic mobility simulation toolkit built on the simulation of urban mobility (SUMO) platform is implemented for AMD performance evaluation. Experimental scenarios are tested with different combinations of operational variables to provide insights on energy and mobility gains that can be realized in AMDs.

KW - AMD

KW - automated electric shuttle

KW - automated mobility district

KW - CAVs

KW - connected and automated vehicles

KW - FASTSim

KW - shared mobility

KW - simulation of urban mobility

KW - transportation networking companies

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DO - 10.1061/9780784481530.010

M3 - Paper

AN - SCOPUS:85050862579

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EP - 108

T2 - International Conference on Transportation and Development 2018: Connected and Autonomous Vehicles and Transportation Safety, ICTD 2018

Y2 - 15 July 2018 through 18 July 2018

ER -

Zhu L, Garikapati V, Hou Y, Young S, Chen Y, Abdul Aziz HM. Quantifying the Mobility and Energy Benefits of Automated Mobility Districts Using Microscopic Traffic Simulation. 2018. Paper presented at International Conference on Transportation and Development 2018: Connected and Autonomous Vehicles and Transportation Safety, ICTD 2018, Pittsburgh, United States. doi: 10.1061/9780784481530.010, 10.1061/9780784481530.010

Quantifying the Mobility and Energy Benefits of Automated Mobility Districts Using Microscopic Traffic Simulation

Abstract

Conference

Bibliographical note

NREL Publication Number

Keywords

UN SDGs

Access to Document

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