Litcius/Paper detail

An Autonomous Modular Mobility Paradigm

Jane Lin, Yu Nie, Kazuya Kawamura

2022IEEE Intelligent Transportation Systems Magazine26 citationsDOI

Abstract

In the United States, public transit vehicles have a very low average load factor (10.1–12.4%), resulting in an excessive waste of seat capacity and poor fuel economy per passenger mile served. This problem is gravely exacerbated by the COVID-19 pandemic, which at its peak had caused more than 70% reduction in transit ridership nationwide. On the other hand, the rapid uptake of e-commerce, also accelerated by the pandemic, has put tremendous pressure on last-mile delivery. A <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">co-modality</i> system that integrates transit services with last-mile logistics offers a promising solution to better utilization/sharing of vehicle capacity and supporting infrastructure. Here we show such a system may be implemented based on Autonomous Modular Vehicle Technology (AMVT). At the core of AMVT is the ability to operate a fleet of modular autonomous vehicles or pods that can be moved, stationed, joined, and separated in real time. Coupling modularity with autonomy is poised to enable co-modality and beyond. We describe an AMVT bimodality system that provides integrated public transit and last-mile logistics services with a fleet of pods and discuss relevant research challenges and opportunities, research approaches, and real-world adoption issues.

Topics & Concepts

Modular designModularity (biology)Public transportTransit (satellite)MileTransport engineeringLast mile (transportation)Computer scienceParatransitBusinessEngineeringOperating systemGeographyGeneticsGeodesyBiologyTransportation and Mobility InnovationsUrban and Freight Transport LogisticsTransportation Planning and Optimization