Determining an optimal fleet size for a reliable shared automated vehicle ride-sharing service

Golan Ben-Dor; Eran Ben-Elia; Itzhak Benenson

doi:10.1016/j.procs.2019.04.121

Determining an optimal fleet size for a reliable shared automated vehicle ride-sharing service

Golan Ben-Dor, Eran Ben-Elia, Itzhak Benenson

Tel Aviv University, Ben-Gurion University of the Negev

Research output: Contribution to journal › Conference article › peer-review

Abstract

Shared Automated Vehicles (SAVs) have the potential to revolutionize the urban transport landscape by reducing congestions, air pollution, and traffic accidents. However, the rejection rate for the travelers’ requests can jeopardize the potential adoption of SAVs as a new sustainable mode. We present MATSim simulations of SAVs service requests and rejections in the Tel-Aviv Metropolitan Area (TAMA) in Israel and demonstrate that fleets of 50-150K vehicles could well serve the entire intra-metropolitan travel demand, with an average occupancy of ~2 compared to 1.1 passengers per vehicle today. Minimal fleet size of 50K SAVs is sufficient for serving TAMA users’ activities but carries a high level of daily rejections 6%. An increase to 100K vehicles reduces the overall rejection rate to 1.66% with the rejection rate for trips between the TAMA core and outskirts remaining higher than 20%. A larger fleet size does not seem to improve the level of service significantly. The operational implications for optimal fleet size determination are further discussed.

Original language	English
Pages (from-to)	878-883
Number of pages	6
Journal	Procedia Computer Science
Volume	151
DOIs	https://doi.org/10.1016/j.procs.2019.04.121
State	Published - 1 Jan 2019
Event	10th International Conference on Ambient Systems, Networks and Technologies, ANT 2019 and The 2nd International Conference on Emerging Data and Industry 4.0, EDI40 2019, Affiliated Workshops - Leuven, Belgium Duration: 29 Apr 2019 → 2 May 2019

UN SDGs

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

SDG 3 Good Health and Well-being
SDG 11 Sustainable Cities and Communities

Keywords

Agent-based simulation
MATSim
Service rejections, ridesharing
Shared automated vehicles

All Science Journal Classification (ASJC) codes

General Computer Science

Access to Document

10.1016/j.procs.2019.04.121

Cite this

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title = "Determining an optimal fleet size for a reliable shared automated vehicle ride-sharing service",

abstract = "Shared Automated Vehicles (SAVs) have the potential to revolutionize the urban transport landscape by reducing congestions, air pollution, and traffic accidents. However, the rejection rate for the travelers{\textquoteright} requests can jeopardize the potential adoption of SAVs as a new sustainable mode. We present MATSim simulations of SAVs service requests and rejections in the Tel-Aviv Metropolitan Area (TAMA) in Israel and demonstrate that fleets of 50-150K vehicles could well serve the entire intra-metropolitan travel demand, with an average occupancy of \textasciitilde{}2 compared to 1.1 passengers per vehicle today. Minimal fleet size of 50K SAVs is sufficient for serving TAMA users{\textquoteright} activities but carries a high level of daily rejections 6\%. An increase to 100K vehicles reduces the overall rejection rate to 1.66\% with the rejection rate for trips between the TAMA core and outskirts remaining higher than 20\%. A larger fleet size does not seem to improve the level of service significantly. The operational implications for optimal fleet size determination are further discussed.",

keywords = "Agent-based simulation, MATSim, Service rejections, ridesharing, Shared automated vehicles",

author = "Golan Ben-Dor and Eran Ben-Elia and Itzhak Benenson",

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AU - Ben-Dor, Golan

AU - Ben-Elia, Eran

AU - Benenson, Itzhak

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Y1 - 2019/1/1

N2 - Shared Automated Vehicles (SAVs) have the potential to revolutionize the urban transport landscape by reducing congestions, air pollution, and traffic accidents. However, the rejection rate for the travelers’ requests can jeopardize the potential adoption of SAVs as a new sustainable mode. We present MATSim simulations of SAVs service requests and rejections in the Tel-Aviv Metropolitan Area (TAMA) in Israel and demonstrate that fleets of 50-150K vehicles could well serve the entire intra-metropolitan travel demand, with an average occupancy of ~2 compared to 1.1 passengers per vehicle today. Minimal fleet size of 50K SAVs is sufficient for serving TAMA users’ activities but carries a high level of daily rejections 6%. An increase to 100K vehicles reduces the overall rejection rate to 1.66% with the rejection rate for trips between the TAMA core and outskirts remaining higher than 20%. A larger fleet size does not seem to improve the level of service significantly. The operational implications for optimal fleet size determination are further discussed.

AB - Shared Automated Vehicles (SAVs) have the potential to revolutionize the urban transport landscape by reducing congestions, air pollution, and traffic accidents. However, the rejection rate for the travelers’ requests can jeopardize the potential adoption of SAVs as a new sustainable mode. We present MATSim simulations of SAVs service requests and rejections in the Tel-Aviv Metropolitan Area (TAMA) in Israel and demonstrate that fleets of 50-150K vehicles could well serve the entire intra-metropolitan travel demand, with an average occupancy of ~2 compared to 1.1 passengers per vehicle today. Minimal fleet size of 50K SAVs is sufficient for serving TAMA users’ activities but carries a high level of daily rejections 6%. An increase to 100K vehicles reduces the overall rejection rate to 1.66% with the rejection rate for trips between the TAMA core and outskirts remaining higher than 20%. A larger fleet size does not seem to improve the level of service significantly. The operational implications for optimal fleet size determination are further discussed.

KW - Agent-based simulation

KW - MATSim

KW - Service rejections, ridesharing

KW - Shared automated vehicles

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DO - 10.1016/j.procs.2019.04.121

M3 - مقالة من مؤنمر

SN - 1877-0509

VL - 151

SP - 878

EP - 883

JO - Procedia Computer Science

JF - Procedia Computer Science

T2 - 10th International Conference on Ambient Systems, Networks and Technologies, ANT 2019 and The 2nd International Conference on Emerging Data and Industry 4.0, EDI40 2019, Affiliated Workshops

Y2 - 29 April 2019 through 2 May 2019

ER -

Determining an optimal fleet size for a reliable shared automated vehicle ride-sharing service

Abstract

UN SDGs

Keywords

All Science Journal Classification (ASJC) codes

Access to Document

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