IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i19p5237-d270310.html
   My bibliography  Save this article

Platooning of Autonomous Public Transport Vehicles: The Influence of Ride Comfort on Travel Delay

Author

Listed:
  • Teron Nguyen

    (Institute of Road, Railway and Airfield Construction, Technical University of Munich, Baumbachstr. 7, 81245 Munich, Germany
    Rapid Road Transport, TUMCREATE Ltd., 1 Create Way, #10-02 CREATE Tower, Singapore 138602, Singapore
    Centre for Infrastructure Systems, Nanyang Technological University, N1-01b-51, 50 Nanyang Avenue, Singapore 639798, Singapore)

  • Meng Xie

    (Rapid Road Transport, TUMCREATE Ltd., 1 Create Way, #10-02 CREATE Tower, Singapore 138602, Singapore)

  • Xiaodong Liu

    (Rapid Road Transport, TUMCREATE Ltd., 1 Create Way, #10-02 CREATE Tower, Singapore 138602, Singapore)

  • Nimal Arunachalam

    (Rapid Road Transport, TUMCREATE Ltd., 1 Create Way, #10-02 CREATE Tower, Singapore 138602, Singapore)

  • Andreas Rau

    (Rapid Road Transport, TUMCREATE Ltd., 1 Create Way, #10-02 CREATE Tower, Singapore 138602, Singapore)

  • Bernhard Lechner

    (Institute of Road, Railway and Airfield Construction, Technical University of Munich, Baumbachstr. 7, 81245 Munich, Germany)

  • Fritz Busch

    (Chair of Traffic Engineering and Control, Technical University of Munich, Arcisstr. 21, 80333 Munich, Germany)

  • Y. D. Wong

    (Centre for Infrastructure Systems, Nanyang Technological University, N1-01b-51, 50 Nanyang Avenue, Singapore 639798, Singapore)

Abstract

The development of advanced technologies has led to the emergence of autonomous vehicles. Herein, autonomous public transport (APT) systems equipped with prioritization measures are being designed to operate at ever faster speeds compared to conventional buses. Innovative APT systems are configured to accommodate prevailing passenger demand for peak as well as non-peak periods, by electronic coupling and decoupling of platooned units along travel corridors, such as the dynamic autonomous road transit (DART) system being researched in Singapore. However, there is always the trade-off between high vehicle speed versus passenger ride comfort, especially lateral ride comfort. This study analyses a new APT system within the urban context and evaluates its performance using microscopic traffic simulation. The platooning protocol of autonomous vehicles was first developed for simulating the coupling/decoupling process. Platooning performance was then simulated on VISSIM platform for various scenarios to compare the performance of DART platooning under several ride comfort levels: three bus comfort and two railway criteria. The study revealed that it is feasible to operate the DART system following the bus standing comfort criterion ( a y = 1.5 m/s 2 ) without any significant impact on system travel time. For the DART system operating to maintain a ride comfort of the high-speed train (HST) and light rail transit (LRT), the delay can constitute up to ≈ 10% and ≈ 5% of travel time, respectively. This investigation is crucial for the system delay management towards precisely designed service frequency and improved passenger ride comfort.

Suggested Citation

  • Teron Nguyen & Meng Xie & Xiaodong Liu & Nimal Arunachalam & Andreas Rau & Bernhard Lechner & Fritz Busch & Y. D. Wong, 2019. "Platooning of Autonomous Public Transport Vehicles: The Influence of Ride Comfort on Travel Delay," Sustainability, MDPI, vol. 11(19), pages 1-14, September.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:19:p:5237-:d:270310
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/19/5237/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/19/5237/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bhoopalam, Anirudh Kishore & Agatz, Niels & Zuidwijk, Rob, 2018. "Planning of truck platoons: A literature review and directions for future research," Transportation Research Part B: Methodological, Elsevier, vol. 107(C), pages 212-228.
    2. Jin Xu & Kui Yang & YiMing Shao & GongYuan Lu, 2015. "An Experimental Study on Lateral Acceleration of Cars in Different Environments in Sichuan, Southwest China," Discrete Dynamics in Nature and Society, Hindawi, vol. 2015, pages 1-16, March.
    3. Salonen, Arto O., 2018. "Passenger's subjective traffic safety, in-vehicle security and emergency management in the driverless shuttle bus in Finland," Transport Policy, Elsevier, vol. 61(C), pages 106-110.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Harim Jeong & Sangmin Park & Sungho Park & Hyonbae Cho & Ilsoo Yun, 2020. "Study on the Selection of Sections Applicable to Truck Platooning in the Expressway Network," Sustainability, MDPI, vol. 12(19), pages 1-13, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bridgelall, Raj & Patterson, Douglas A. & Tolliver, Denver D., 2020. "Policy implications of truck platooning and electrification," Energy Policy, Elsevier, vol. 139(C).
    2. Bouchery, Yann & Hezarkhani, Behzad & Stauffer, Gautier, 2022. "Coalition formation and cost sharing for truck platooning," Transportation Research Part B: Methodological, Elsevier, vol. 165(C), pages 15-34.
    3. Barua, Limon & Zou, Bo & Choobchian, Pooria, 2023. "Maximizing truck platooning participation with preferences," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    4. Erik Karger & Marvin Jagals & Frederik Ahlemann, 2021. "Blockchain for Smart Mobility—Literature Review and Future Research Agenda," Sustainability, MDPI, vol. 13(23), pages 1-32, November.
    5. Margarita Martínez-Díaz & Maximilià-Miquel Montes Carbó, 2024. "Assessing User Acceptance of Automated Vehicles as a Precondition for Their Contribution to a More Sustainable Mobility," Sustainability, MDPI, vol. 16(2), pages 1-22, January.
    6. Liu, Peng & Xu, Zhigang & Zhao, Xiangmo, 2019. "Road tests of self-driving vehicles: Affective and cognitive pathways in acceptance formation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 354-369.
    7. Hatzenbühler, Jonas & Jenelius, Erik & Gidófalvi, Gyözö & Cats, Oded, 2023. "Modular vehicle routing for combined passenger and freight transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    8. Noruzoliaee, Mohamadhossein & Zou, Bo & Zhou, Yan (Joann), 2021. "Truck platooning in the U.S. national road network: A system-level modeling approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).
    9. Ryosuke Abe & Yusuke Kita & Daisuke Fukuda, 2020. "An Experimental Approach to Understanding the Impacts of Monitoring Methods on Use Intentions for Autonomous Vehicle Services: Survey Evidence from Japan," Sustainability, MDPI, vol. 12(6), pages 1-16, March.
    10. Sindi, Safaa & Woodman, Roger, 2021. "Implementing commercial autonomous road haulage in freight operations: An industry perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 152(C), pages 235-253.
    11. Ziakopoulos, Apostolos & Oikonomou, Maria G. & Vlahogianni, Eleni I. & Yannis, George, 2021. "Quantifying the implementation impacts of a point to point automated urban shuttle service in a large-scale network," Transport Policy, Elsevier, vol. 114(C), pages 233-244.
    12. Arto O Salonen & Noora Haavisto, 2019. "Towards Autonomous Transportation. Passengers’ Experiences, Perceptions and Feelings in a Driverless Shuttle Bus in Finland," Sustainability, MDPI, vol. 11(3), pages 1-19, January.
    13. Huailei Cheng & Yuhong Wang & Dan Chong & Chao Xia & Lijun Sun & Jenny Liu & Kun Gao & Ruikang Yang & Tian Jin, 2023. "Truck platooning reshapes greenhouse gas emissions of the integrated vehicle-road infrastructure system," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    14. Song, Ruidian & Zhao, Lei & Van Woensel, Tom & Fransoo, Jan C., 2019. "Coordinated delivery in urban retail," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 126(C), pages 122-148.
    15. Ramirez Ibarra, Monica & Saphores, Jean-Daniel M., 2023. "1,000 HP electric drayage trucks as a substitute for new freeway lanes construction," Transportation Research Part A: Policy and Practice, Elsevier, vol. 171(C).
    16. Kassens-Noor, Eva & Kotval-Karamchandani, Zeenat & Cai, Meng, 2020. "Willingness to ride and perceptions of autonomous public transit," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 92-104.
    17. Diogo Abrantes & Marta Campos Ferreira & Paulo Dias Costa & Joana Hora & Soraia Felício & Teresa Galvão Dias & Miguel Coimbra, 2023. "A New Perspective on Supporting Vulnerable Road Users’ Safety, Security and Comfort through Personalized Route Planning," IJERPH, MDPI, vol. 20(4), pages 1-24, February.
    18. Kishore Bhoopalam, A. & van den Berg, R. & Agatz, N.A.H. & Chorus, C.G., 2021. "The long road to automated trucking: Insights from driver focus groups," ERIM Report Series Research in Management ERS-2021-003-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    19. Chen, Rui & Meng, Qiang & Jia, Peng, 2022. "Container port drayage operations and management: Past and future," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).
    20. Duret, Aurelien & Wang, Meng & Ladino, Andres, 2020. "A hierarchical approach for splitting truck platoons near network discontinuities," Transportation Research Part B: Methodological, Elsevier, vol. 132(C), pages 285-302.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:11:y:2019:i:19:p:5237-:d:270310. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.