Award Abstract # 2127677
EAGER/Collaborative Research: An Autonomous Modular Vehicle Technology-based Multifaceted Mobility Service Paradigm ? A Proof-of-Concept Study

NSF Org: CMMI
Division of Civil, Mechanical, and Manufacturing Innovation
Recipient: UNIVERSITY OF ILLINOIS
Initial Amendment Date: April 30, 2021
Latest Amendment Date: April 30, 2021
Award Number: 2127677
Award Instrument: Standard Grant
Program Manager: Shen
CMMI
 Division of Civil, Mechanical, and Manufacturing Innovation
ENG
 Directorate for Engineering
Start Date: August 15, 2021
End Date: May 31, 2024 (Estimated)
Total Intended Award Amount: $199,999.00
Total Awarded Amount to Date: $199,999.00
Funds Obligated to Date: FY 2021 = $199,999.00
History of Investigator:
  • Jane Lin (Principal Investigator)
    janelin@uic.edu
  • Kazuya Kawamura (Co-Principal Investigator)
Recipient Sponsored Research Office: University of Illinois at Chicago
809 S MARSHFIELD AVE M/C 551
CHICAGO
IL  US  60612-4305
(312)996-2862
Sponsor Congressional District: 07
Primary Place of Performance: University of Illinois at Chicago
1030 N. State Street, Suite 48H
Chicago
IL  US  60607-0001
Primary Place of Performance
Congressional District:
07
Unique Entity Identifier (UEI): W8XEAJDKMXH3
Parent UEI:
NSF Program(s): CIS-Civil Infrastructure Syst
Primary Program Source: 01002122DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 1057, 7916, 029E, 036E, 9102, CVIS
Program Element Code(s): 163100
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.041

ABSTRACT

This EArly-concept Grant for Exploratory Research (EAGER) project will support a proof-of-concept study to (1) understand the fundamental trade-offs in Autonomous Modular Vehicle Technology (AMVT) based bi-modality system, or AMVT-BM, that provides integrated public transit and last-mile logistics services with a fleet of modular autonomous vehicles, or pods, and (2) gauge potential stakeholders? interest and reaction to the technology. In the U.S., public transit vehicles have a very low average load factor (10.1% ~ 12.4%), resulting in 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 nearly 80% 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. Coupled with modularity, a co-modality system that integrates transit services with last mile logistics offers a promising solution to better utilization/sharing of vehicle capacity and supporting infrastructure. Yet, the implementation of this idea requires not only technological breakthrough, but also a system approach that transcends the boundaries of the two highly siloed sectors in the transportation industry.

In this study, we will focus on two most fundamental questions: (1) what are the impacts of co-modality and modularity on system performance? And (2) what are synergistic potential and adoption challenges from the perspective of stakeholders such as transit agencies, urban planners, logistics companies, transportation network companies, and auto makers? The research agenda consists of two tasks designed to seek answers to these questions. Task 1 investigates the impacts of modularity and co-modality via analysis and simulation. Task 2 recruits and surveys potential stakeholders for their views on a wide range of issues related to the adoption of AMVT-BM. The project will create a suite of optimization tools for analyzing modularized transit and last-mile delivery service systems. It will also develop the first of its kind simulation testbed to guide the design and evaluation of an AMVT-BM system that integrates transit and last-mile delivery operations. Through a three-phase stakeholder survey, the project will document and analyze technological, institutional, and financial potentials as well as barriers to the real-world implementation of AMVT-BM systems, which will shed light on the design and operation of these systems. The project findings will help identify critical future research agenda.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

Note:  When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external site maintained by the publisher. Some full text articles may not yet be available without a charge during the embargo (administrative interval).

Some links on this page may take you to non-federal websites. Their policies may differ from this site.

Cheng, Xi and Marco_Nie, Yu and Lin, Jane "An Autonomous Modular Public Transit service" Transportation Research Part C: Emerging Technologies , 2024 https://doi.org/10.1016/j.trc.2024.104746 Citation Details
Lin, Jane and Nie, Yu and Kawamura, Kazuya "An Autonomous Modular Mobility Paradigm" IEEE Intelligent Transportation Systems Magazine , 2022 https://doi.org/10.1109/MITS.2022.3159484 Citation Details
Shafiee, Amir and Moghaddam, Hanieh Rastegar and Lin, Jane "Using Autonomous Modular Vehicle Technology as an Alternative for Last-Mile Delivery" , 2024 https://doi.org/10.1109/FISTS60717.2024.10485532 Citation Details

PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

This project envisions a future co-modality mobility system that is enabled by Autonomous Modular Vehicle Technology(AMVT). The modular autonomous vehicles (AVs) are also known as pods, powered by electricity. Pods run on existing road infrastructure individually or as a connected pod train. AMVT promises exciting multifaceted mobility services that are flexible and customizable due to its two attractive features: modularity and autonomy. AVs are widely expected to be a game changer in transportation. Coupling modularity and autonomy, AMVT is poised to shape the evolution of the current transportation paradigm.

This EAGER project is the first step toward understanding the fundamental trade-offs in an AMVT-based mobility service in two primary applications – public transit and last-mile logistics, separately and integrally.

Intellectual Merits. Three research areas of focus have been carried out: (1) feasibility investigation of an AMVT-based public transit service, (2) AMVT-based last mile delivery and parcel station applications, and co-modality service design, and (3) market mechanisms for co-modality services. In (1), we find that Autonomous Modular Public Transit(AMPT), if designed properly, may save the total cost compared to traditional transit systems thanks to demand responsive pod train capacity, particularly in the small areas with low demand scenarios. The cost savings of AMPT are largely attributed to passenger time saving by en-route transfer; the agency cost of AMPT has a mixed picture. The load factor of AMPT generally improves over the traditional transit service. We also show how key parameter values may affect the AMPT costs through sensitivity analysis. In (2), results show that using AMVT for last mile delivery would decrease the overall operation cost of the system compared to classical depot-based methods where trucks deliver packages. Moreover, these cost savings are more significant in areas with higher demand variations and overall demand. Implementing this innovative approach can help delivery companies cut transportation costs while maintaining delivery times and service levels, promoting environmental sustainability to meet the demands of the growing e-commerce industry. In (3), we investigate the co-modality market that takes advantage of modularity technology using a market-driven approach. We formulate the system design problems of two market participants, i.e., the transit operator and the freight carrier under three market game structures: the non-cooperative (NC) game, the operator-led Stackelberg (OLS) game, and the carrier-led Stackelberg (CLS) game. Our numerical results confirm that, in both the OLS and CLS games without market intervention, the leader always “pushes” the follower to its break-even point, even if the follower is self-interested. Consequently, only the leader can benefit from the co-modality service. However, we also observe that a carefully designed cap on the rent price of pods in the NC or OLS game can promote mutual benefits for both participators of the co-modality service. In these two games, the social cost is minimized when the price is mandated to be zero. Most importantly, we find that the CLS game yields the most favorable output, as it not only achieves the lowest social cost but also does so without the need for any regulatory policies.

Broader Impact.  AMVT promises exciting multifaceted mobility services that are flexible and customizable due to its two attractive features: modularity and autonomy. AVs are widely expected to be a game changer in transportation. Coupling modularity and autonomy, AMVT is poised to shape the evolution of the current transportation paradigm. This EAGER project is the first step toward understanding the fundamental trade-offs in AMVT-based mobility service systems in public transit and last mile delivery and gauging potential stakeholders’ interest and reaction to the technology itself and the real-world prospect of the envisioned AMVT-MMS. The outcomes of this project may not only contribute methodologically to transportation modeling, but also provoke the outside-the-box (breaking-the-solo) thinking in transportation research and practice. AMVT could potentially change the urban mobility (goods and people) landscape and provide more demand responsiveandcost saving transit service. It may also spur value-added startup services built on AMVT.

 


Last Modified: 09/10/2024
Modified by: Jane Lin

Please report errors in award information by writing to: awardsearch@nsf.gov.

Print this page

Back to Top of page