ridesharing

A Before and After Evaluation of Shared Mobility Projects in the San Joaquin Valley

Research Product Type
Research Report
In rural areas, cost-effective transit service is challenging due to greater travel distances, lower population densities, and longer travel times than in cities. UC Davis partnered with the eight San Joaquin Valley Metropolitan Planning Organizations to identify and support development of three innovative mobility pilot concepts for the region.

Dataset: Dynamic Ride-Sharing with HOV Lanes and Meeting Points

Research Product Type
Data
This data is from the project, Dynamic Routing for Ridesharing. The data is randomly generated within grids where each unit of the grid represents a 1-mile by 1-mile square. It is used to generate the origins and destinations of passengers.

Dynamic Routing for Ride-Sharing

Research Product Type
Research Report
The research report explored the use of High Occupancy Vehicle (HOV) lanes and meeting points in a ride-sharing system where drivers have their own origin and destination.

Flexible Routing for Ridesharing

Research Product Type
Research Brief
Traffic congestion is a significant problem in major metropolitan areas in the United States. According to the Urban Mobility Report, in 2019 commuters on average lost about 54 hours in traffic congestion. The researchers developed three approaches to rideshare routing and evaluated their effectiveness in combating traffic congestion.

Investigating Transportation Decarbonization through Transit and Rideshare Electrification: A Scenario Analysis with Large-Scale Models

  • Principal Investigator Mehdi Azimi, Ph.D.
  • Texas Southern University
This project utilizes the Department of Energy's Systems and Modeling for Accelerated Research in Transportation (SMART) workflow to evaluate potential outcomes of electrification policies, specifically for transit and rideshare systems. This will be accomplished by harnessing a large-scale agent-based activity-based transportation modeling tool designed for the Houston Metropolitan Area.
Project Status
In Progress

Real-Time Large-Scale Ridesharing with Flexible Meeting Points

  • Principal Investigator Maged Dessouky, Ph.D.
  • University of Southern California
This project will develop a framework that will, in real-time, match drivers to passengers and route rideshare drivers that incorporates traffic data to provide improved solutions. The resulting solution framework will use commercial traffic simulation software to achieve this goal.
Project Status
In Progress

Stochastic Ride Sharing System with Flexible Pickup and Drop-off

  • Principal Investigator Maged Dessouky, Ph.D.
  • University of Southern California
The purpose of this research is to provide a ride-sharing planning scheme that will consider all three sources of uncertainties to provide a robust travel plan while at the same time reducing travel time for the commuters.
Project Status
Complete

Stochastic Ridesharing System with Flexible Pickup and Drop-off

Research Product Type
Research Report
A robust rideshare system needs to take uncertainties such as traffic congestion and passenger cancellations into account. In this report, the authors propose a data-driven stochastic rideshare system that integrates those sources of uncertainties.
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