A Performance Analysis of Shared Trips, a Comparative Study of Autonomous Vehicles (AVs)

Document Type : Scientific - Research

Authors
Ali Rahmani 1
Amir Reza Mamdoohi 2
1 M.Sc., Faculty of Civil and Environmental Engineering, Tarbiat Modares University, Tehran, Iran
2 Associate Professor of Transportation Planning, Faculty of Civil and Environmental Engineering, Tarbiat Modares University, Tehran, Iran
10.22119/jte.2024.434036.2694
Abstract
Autonomous vehicles (AVs) represent a pivotal technology within the realm of smart and sustainable transportation systems. By harnessing cutting-edge technologies like artificial intelligence, sensors, and advanced navigation systems, AVs operate autonomously without the need for human intervention. This innovation opens new horizons for optimizing urban transportation networks and curtailing traffic challenges. One significant application of AVs lies in their integration into shared mobility systems, albeit accompanied by a distinct set of hurdles necessitating tailored solutions and strategic approaches.
This study employs micro-simulation models to assess the impact of Shared Autonomous Vehicles (SAVs) within a segment of the urban networks of Tehran and Shiraz. The findings juxtapose the outcomes across both cities. The presence of SAVs equipped with ride-sharing functionality demonstrates a decline in Vehicle Kilometers Traveled (VKT) or adjusts the empty VKT. Conversely, SAVs lacking ride-sharing features escalate VKT by up to 28% in Tehran and 41% in Shiraz compared to the base scenario. The mean network speed is contingent upon factors such as ride-sharing protocols, fleet size, and market penetration rate. SAVs incorporating ride-sharing schemes with minimal fleet sizes enhance average speeds by 8% in Tehran and 25% in Shiraz. Conversely, instances where fleet sizes maximize lead to diminished average network speeds.

Keywords

Subjects

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Quarterly Journal of Transportation Engineering
Volume 16, Issue 3 - Serial Number 64
Winter 2025
Pages 4627-4643

  • Receive Date 07 January 2024
  • Revise Date 08 May 2024
  • Accept Date 12 June 2024