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Designing Questions about Speed in Several Different Ways May Help Improve the Usefulness of Automated Shuttle Survey Results, as Low Speeds Have a Complicated Relation to User Acceptance.

The following are several lessons learned from the projects for the development of future surveys about automated shuttles as they relate to survey population, survey approach, and questionnaire…
Content type
Lesson
Date Posted
08/25/2021
Taxonomy (ARC-IT) En-Route Guidance (TI03), Automated Vehicle Operations (VS16), Transit Fleet Management (PT06), Integrated Decision Support and Demand Management (TM09)
Geolocation links
Washington, District of Columbia, United States   |   Berlin, Germany   |   Tampa, Florida, United States   |   Tallinn, Estonia

Almost 90 percent of automated shuttle bus riders surveyed in a small-scale field study in Berlin indicated they were not at all worried or only slightly worried about their own sense of safety while riding in an automated shuttle.

FINDINGS Almost 90 percent of riders rated that they were "not at all worried" or only slightly worried about their own sense of safety while riding in the vehicle. However, only 54 percent gave…
Content type
Benefit
Date Posted
08/26/2019
Taxonomy (ARC-IT) Transit Vehicle at Station/Stop Warnings (PT12), Vehicle Turning Right in Front of a Transit Vehicle (PT13), En-Route Guidance (TI03), Autonomous Vehicle Safety Systems (VS01), Automated Vehicle Operations (VS16)
Geolocation links
Berlin, Germany

Survey data show that vehicle performance data displayed to passengers on board automated shuttles can ease their sense of safety.

Based on previous research, the authors noted that individuals' perceptions of the safety of AVs are increased with greater information on AV technologies and systems. Thus, they recommend measures…
Content type
Lesson
Date Posted
08/23/2019
Taxonomy (ARC-IT) En-Route Guidance (TI03), Automated Vehicle Operations (VS16), Transit Vehicle at Station/Stop Warnings (PT12), Vehicle Turning Right in Front of a Transit Vehicle (PT13), Autonomous Vehicle Safety Systems (VS01)
Geolocation links
Berlin, Germany

Connected and automated vehicles (CAVs) can decrease average trip times by up to three times under heavy traffic conditions.

A research team from Bristol, United Kingdom (UK) utilized the Simulation of Urban Mobility (SUMO) traffic generator to microscopically model and control each vehicle and traffic light. The SUMO…
Content type
Benefit
Taxonomy (ARC-IT) Autonomous Vehicle Safety Systems (VS01)
Geolocation links
Manhattan, New York, United States   |   Paris, France   |   Berlin, Germany   |   Rome, Italy   |   London, United Kingdom
ITS Deployment Evaluation

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