Arlington Rideshare, Automation, and Payment Integration Demonstration (RAPID)

Foss, Ann · 2023 · ROSA P / United States. Department of Transportation. Federal Transit Administration

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Summary

The Arlington Rideshare, Automation, and Payment Integration Demonstration (RAPID) project evaluated the integration of a shared, dynamically routed Level 4 automated vehicle (AV) fleet into an existing public microtransit system in Arlington, Texas. Motivated by the need to improve transit efficiency, safety, and accessibility in low-density areas where fixed-route transit is impractical, the project aimed to create a blueprint for combining AV and rideshare technologies. The demonstration, conducted by the City of Arlington in partnership with Via Transportation, May Mobility, and the University of Texas at Arlington (UTA), sought to enhance access for seniors, students, and individuals with disabilities while testing public acceptance of automated rides. The demonstration ran from March 23, 2021, to March 18, 2022, within a one-square-mile service area covering Arlington’s downtown and the UTA campus. The fleet consisted of four Lexus RX450 hybrid vehicles and one Polaris GEM wheelchair-accessible vehicle, later replaced by a Toyota Sienna. A trained AV operator remained in the driver’s seat throughout the demonstration. The service utilized Via’s platform for booking, payment, and dynamic routing, allowing riders to choose between standard human-driven vans and RAPID AVs. UTA students received free fares via email domain verification. Operational parameters included specific service hours, COVID-19 safety protocols such as vehicle disinfection and mask mandates, and a robust incident reporting process. The project team refined the route network through extensive mapping and testing to ensure localization accuracy and safety. Over the one-year demonstration, the service provided 28,140 rides with no safety incidents or accidents. Key performance metrics included an average estimated wait time of 10 to 15 minutes and 99 percent on-time performance. Public acceptance of the AV service increased significantly, with rider acceptance rates rising from approximately 75 percent at launch to over 90 percent by the end of the demonstration. Autonomy performance also improved, with the percentage of time spent in fully automated mode exceeding 90 percent toward the conclusion of the project. Rider surveys indicated high satisfaction, with users reporting they felt safe and enjoyed the service. The data revealed that many riders had low incomes and lacked access to personal vehicles, highlighting the service’s role in addressing equity and accessibility. The RAPID project successfully demonstrated that AV services can be seamlessly integrated into existing on-demand rideshare systems with high public acceptance and operational safety. The findings provide actionable insights for other municipalities seeking to deploy automated, shared public transit, particularly regarding service design, technology integration, and public communication. The City of Arlington and its partners plan to continue operating the RAPID service, incorporating lessons learned to further improve and expand the benefits to the community. The project underscores the viability of public-private partnerships in advancing automated mobility solutions.

Key finding

The RAPID demonstration successfully integrated automated vehicles into an existing on-demand rideshare system, delivering 28,140 rides with no safety incidents and demonstrating high public acceptance and improving autonomy performance over the one-year period.

Methodology

field_study

Provenance

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tag success vector_similarity 19 2026-06-11
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