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Abstract for presentation (Poster or Podium) with a Paper in the Conference Proceedings

Sustainable Transportation & Urban Development

I-4 Traffic Alleviation: Orange County Ride-Sharing Analysis

Sunday, June 16, 2024
3:00 PM - 4:15 PM ET
Room: Galleria

    Primary Author(s)

  • MG

    Mingwei Guo, n/a

    Graduate Research Assistant
    North Dakota State University
    fargo, North Dakota, United States

    • Presenter(s)

  • MG

    Mingwei Guo, n/a

    Graduate Research Assistant
    North Dakota State University
    fargo, North Dakota, United States

    • Co-Author(s)

  • AA

    Asad Ali (he/him/his)

    Graduate Research Assistant
    North Dakota State University
    Fargo, ND, United States

  • Talha Ahmed, n/a (he/him/his)

    Graduate Research Assistant
    North Dakota State University
    Fargo, North Dakota, United States

  • Ying Huang, PhD

    Associate Professor
    North Dakota State University
    FARGO, North Dakota, United States

  • PL

    Pan Lu, PhD

    Associate Professor
    North Dakota State University
    Fargo, ND, United States

    • Submitter(s)

  • MG

    Mingwei Guo, Ph.D. Candidate

    North Dakota State University
    Fargo, North Dakota, United States

Abstract:

Rental car agencies restrict residents from renting vehicles for local use. These restrictions lead to increased car rentals by tourists unfamiliar with local roads, further worsening the situation. Changing rental car policies could help address these issues. 

This project aims to evaluate the environmental impact of increasing ride-sharing services in Orange County. We will utilize Vissim, a traffic simulation software, to model different scenarios and assess their impact on traffic flow and vehicle emissions. Our approach involves data collection from FDOT District 5 Sunstore website, focusing on I-4 corridor intersection data, and the utilization of Vissim for creating a model that replicates a section of the I-4 corridor. Within this model, various scenarios will be simulated, including the introduction of more ride-sharing vehicles, alterations to incentives, and the potential reduction in private vehicle numbers, should rental car policies become more permissive. Using the data generated from these simulations, we will conduct a comprehensive environmental impact analysis, examining factors such as traffic flow, vehicle emissions, fuel consumption, and air quality. This combined methodology will provide a thorough understanding of the potential effects of increased ride sharing on I-4 corridor congestion and environmental conditions. 

This research project is expected to provide a comprehensive analysis of ride-sharing's environmental impact, considering potential rental car policy changes, offer insights into ride-sharing's effectiveness in mitigating I-4 congestion, accounting for policy adjustments and sustainable transportation alternatives for tourists and present recommendations for policymakers and transportation authorities, including possible rental car policy amendments and strategies for sustainable tourism transportation.

Learning Objectives:

Attendees can expect to learn the following from this session:
  • Upon completion, participant will be able to analyze the impact of utilization of ride sharing in selected I-4 corridor.
  • Upon completion, participant will be able to provide numerical congestion improvements using simulated scenarios.
  • Upon completion, participant will be able to give insight to policy makers to determine if restrictions on local rental car policy should be lifted.