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Title:

Agent-Based Approach to Analyzing the Effects of Dynamic Ridesharing in a Multimodal Network

Accession Number:

01660297

Record Type:

Component

Abstract:

An agent-based modeling study for dynamic ridesharing in a multimodal network is proposed in this paper. The study aims to evaluate the performance of dynamic ridesharing system within a multimodal network and explore the competing mechanism between dynamic ridesharing and public transit, with the presence of managed lane facility. The modeling process simulates the interaction between travelers and network and applies a heuristic algorithm to model travelers’ decision making process under uncertainty. The model is applicable to networks with varying demographics. Multiple scenarios based on the classic Sioux Falls network have been examined. The modeling results demonstrate that the effects of dynamic ridesharing on a network differ with traffic demand and market penetrations of various travel modes. In networks with high travel demand and low market penetration of public transit, the benefits of dynamic ridesharing system on reducing congestion and providing reliable travel time are quite limited. To enhance the effectiveness of dynamic ridesharing, traffic operators may consider project investments on managed lane facilities. In networks with high market penetration of public transit, dynamic ridesharing may attract large amounts of short distance trips and bring extra congestion to the network, especially at the initial launching phase. Policy makers would want to ensure that the existing infrastructure is sufficient to accommodate the extra traffic induced by ridesharing. Ridesharing service providers might also consider proper strategies to avoid “abuse” of the system by short trips and accelerate the market penetration.

Supplemental Notes:

This paper was sponsored by TRB committee AHB35 Standing Committee on Managed Lanes.

Report/Paper Numbers:

18-04682

Language:

English

Authors:

Chen, Zhuo
Liu, Xiaoyue Cathy

Pagination:

6p

Publication Date:

2018

Conference:

Transportation Research Board 97th Annual Meeting

Location: Washington DC, United States
Date: 2018-1-7 to 2018-1-11
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Uncontrolled Terms:

Agent based models

Subject Areas:

Highways; Operations and Traffic Management; Passenger Transportation

Source Data:

Transportation Research Board Annual Meeting 2018 Paper #18-04682

Files:

TRIS, TRB, ATRI

Created Date:

Jan 8 2018 11:09AM