Session Moderators

Moderator(s): 
Tom Shi, Assistant Professor, University of Wisconsin-Milwaukee 

Session Organizers

Organizers:
Tom Shi, Assistant Professor, University of Wisconsin-Milwaukee
Hao Liu, Assistant Research Engineer, University of California, Berkeley

TRB Sponsoring Committees and Partners

TRB Standing Committee on Vehicle-Highway Automation (ACP30) [working group #3]
IEEE Emerging Transportation Technology Testing Technical Committee
TRB Subcommittee on Emerging Technologies in Network Modeling (AEP40(4))

Session Description and Agenda

Description

Increasingly, production vehicles are equipped with advanced technologies to assist drivers. To appropriately manage the use of the technologies in the near future, it is important and necessary to understand the impacts of these technologies on traffic. In the existing literature, models without empirical evidence/validation tended to support the positive impacts of these technologies. However, recent field experiments showed the negative impacts of these technologies on traffic flow stability and capacity. This inconsistency may hinder the further development of vehicle technologies. This session aims to identify the major reason causing this discrepancy and how to close the gap with advanced large models or generative AI. Also, policy and management suggestions will be provided for the relevant stakeholders.

Agenda

Duration: 1.5 hours (90 minutes)

• 2 minutes for Opening Remarks
• About 60 minutes for Flash Talk (10 minutes for each speaker. If time is available, a Q&A session will be held).
• 30 minutes for Panel Discussion Session and Summary.

Description:
• 10 minutes presentation for each speaker.
• 5-6 speakers.
• 25 minutes panel Discussion.

Session Objectives

1. Results and insights provided by the field experiments of emerging vehicle technologies.
2. Modeling and simulation considerations for emerging vehicle technologies.
3. Policy and management suggestions for future traffic.