IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/96328.html
   My bibliography  Save this paper

Departure Time Choice and Bottleneck Congestion with Automated Vehicles: Role of On-board Activities

Author

Listed:
  • Pudāne, Baiba

Abstract

The enhanced possibility to perform non-driving activities in automated vehicles (AVs) may not only decrease the disutility of travel, but also change the AV users’ departure time preferences, thereby affecting traffic congestion. Depending on the AV interior, travellers may be able to perform in the vehicle activities that they would otherwise perform at home or at work. These possibilities might make them depart at different times compared to situations, when they are not able to engage in any activities during travel or when the possible activities do not substitute any out-of-vehicle activities. This paper formalises the on-board activity and substitution effects using new scheduling preferences in the morning commute context. The new scheduling preferences are used (1) to analyse the optimal departure times when there is no congestion, and (2) to obtain the equilibrium congestion patterns in a bottleneck setting. If there is no congestion, it is predicted that AV users would choose to depart earlier (later), if the on-board environment is better suited for their home (work) activities. If there is congestion, more AV users departing earlier or later would skew the congestion in the corresponding direction. Given the minimalistic bottleneck setting, it is found that congestion with AVs is more severe than with conventional vehicles. If AVs were specialised to support only home, only work, or both home and work activities, and would do so to a similar extent, then ‘Work AVs’ would increase the congestion the least.

Suggested Citation

  • Pudāne, Baiba, 2019. "Departure Time Choice and Bottleneck Congestion with Automated Vehicles: Role of On-board Activities," MPRA Paper 96328, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:96328
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/96328/1/MPRA_paper_96328.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lamotte, Raphaël & de Palma, André & Geroliminis, Nikolas, 2017. "On the use of reservation-based autonomous vehicles for demand management," Transportation Research Part B: Methodological, Elsevier, vol. 99(C), pages 205-227.
    2. Pawlak, Jacek & Polak, John W. & Sivakumar, Aruna, 2015. "Towards a microeconomic framework for modelling the joint choice of activity–travel behaviour and ICT use," Transportation Research Part A: Policy and Practice, Elsevier, vol. 76(C), pages 92-112.
    3. Xiao, Yu & Coulombel, Nicolas & Palma, André de, 2017. "The valuation of travel time reliability: does congestion matter?," Transportation Research Part B: Methodological, Elsevier, vol. 97(C), pages 113-141.
    4. Malokin, Aliaksandr & Circella, Giovanni & Mokhtarian, Patricia L., 2019. "How do activities conducted while commuting influence mode choice? Using revealed preference models to inform public transportation advantage and autonomous vehicle scenarios," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 82-114.
    5. Zhang, Xiang & Liu, Wei & Waller, S. Travis & Yin, Yafeng, 2019. "Modelling and managing the integrated morning-evening commuting and parking patterns under the fully autonomous vehicle environment," Transportation Research Part B: Methodological, Elsevier, vol. 128(C), pages 380-407.
    6. Tseng, Yin-Yen & Verhoef, Erik T., 2008. "Value of time by time of day: A stated-preference study," Transportation Research Part B: Methodological, Elsevier, vol. 42(7-8), pages 607-618, August.
    7. André de Palma & Robin Lindsey & Emile Quinet & Robert Vickerman, 2011. "Handbook Of Transport Economics," PSE-Ecole d'économie de Paris (Postprint) halshs-00754912, HAL.
    8. Koster, Paul R. & Koster, Hans R.A., 2015. "Commuters’ preferences for fast and reliable travel: A semi-parametric estimation approach," Transportation Research Part B: Methodological, Elsevier, vol. 81(P1), pages 289-301.
    9. Pawlak, Jacek & Polak, John W. & Sivakumar, Aruna, 2017. "A framework for joint modelling of activity choice, duration, and productivity while travelling," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 153-172.
    10. Wadud, Zia & MacKenzie, Don & Leiby, Paul, 2016. "Help or hindrance? The travel, energy and carbon impacts of highly automated vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 86(C), pages 1-18.
    11. Arnott, Richard & de Palma, Andre & Lindsey, Robin, 1993. "A Structural Model of Peak-Period Congestion: A Traffic Bottleneck with Elastic Demand," American Economic Review, American Economic Association, vol. 83(1), pages 161-179, March.
    12. Thorhauge, Mikkel & Cherchi, Elisabetta & Rich, Jeppe, 2016. "How flexible is flexible? Accounting for the effect of rescheduling possibilities in choice of departure time for work trips," Transportation Research Part A: Policy and Practice, Elsevier, vol. 86(C), pages 177-193.
    13. Small, Kenneth A., 2015. "The bottleneck model: An assessment and interpretation," Economics of Transportation, Elsevier, vol. 4(1), pages 110-117.
    14. Li, Zhi-Chun & Lam, William H.K. & Wong, S.C., 2014. "Bottleneck model revisited: An activity-based perspective," Transportation Research Part B: Methodological, Elsevier, vol. 68(C), pages 262-287.
    15. Frei, Charlotte & Mahmassani, Hani S. & Frei, Andreas, 2015. "Making time count: Traveler activity engagement on urban transit," Transportation Research Part A: Policy and Practice, Elsevier, vol. 76(C), pages 58-70.
    16. Zhang, Xiaoning & Yang, Hai & Huang, Hai-Jun & Zhang, H. Michael, 2005. "Integrated scheduling of daily work activities and morning-evening commutes with bottleneck congestion," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(1), pages 41-60, January.
    17. Vickrey, William S, 1969. "Congestion Theory and Transport Investment," American Economic Review, American Economic Association, vol. 59(2), pages 251-260, May.
    18. Vincent A.C. van den Berg & Erik T. Verhoef, 2015. "Robot Cars and Dynamic Bottleneck Congestion: The Effects on Capacity, Value of Time and Preference Heterogeneity," Tinbergen Institute Discussion Papers 15-062/VIII, Tinbergen Institute, revised 11 Jul 2016.
    19. Banerjee, Ipsita & Kanafani, Adib, 2008. "The Value of Wireless Internet Connection on Trains: Implications for Mode-Choice Models," University of California Transportation Center, Working Papers qt3bv6g5pm, University of California Transportation Center.
    20. Correia, Gonçalo Homem de Almeida & Looff, Erwin & van Cranenburgh, Sander & Snelder, Maaike & van Arem, Bart, 2019. "On the impact of vehicle automation on the value of travel time while performing work and leisure activities in a car: Theoretical insights and results from a stated preference survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 359-382.
    21. Arnott, Richard & de Palma, Andre & Lindsey, Robin, 1990. "Economics of a bottleneck," Journal of Urban Economics, Elsevier, vol. 27(1), pages 111-130, January.
    22. Saptarshi Das & Ashok Sekar & Roger Chen & Hyung Chul Kim & Timothy J. Wallington & Eric Williams, 2017. "Impacts of Autonomous Vehicles on Consumers Time-Use Patterns," Challenges, MDPI, vol. 8(2), pages 1-15, December.
    23. Banerjee, Ipsita & Kanafani, Adib, 2008. "The Value of Wireless Internet Connection on Trains: Implications for Mode-Choice Models," University of California Transportation Center, Working Papers qt8kf2t753, University of California Transportation Center.
    24. Aggelos Soteropoulos & Martin Berger & Francesco Ciari, 2019. "Impacts of automated vehicles on travel behaviour and land use: an international review of modelling studies," Transport Reviews, Taylor & Francis Journals, vol. 39(1), pages 29-49, January.
    25. André de Palma & Robin Lindsey & Emile Quinet & Roger Vickerman (ed.), 2011. "A Handbook of Transport Economics," Books, Edward Elgar Publishing, number 12679.
    26. Correia, Gonçalo Homem de Almeida & van Arem, Bart, 2016. "Solving the User Optimum Privately Owned Automated Vehicles Assignment Problem (UO-POAVAP): A model to explore the impacts of self-driving vehicles on urban mobility," Transportation Research Part B: Methodological, Elsevier, vol. 87(C), pages 64-88.
    27. van den Berg, Vincent A.C. & Verhoef, Erik T., 2016. "Autonomous cars and dynamic bottleneck congestion: The effects on capacity, value of time and preference heterogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 43-60.
    28. Kenneth Small, 2015. "The Bottleneck Model: An Assessment and Interpretation," Working Papers 141506, University of California-Irvine, Department of Economics.
    29. Fosgerau, Mogens & Engelson, Leonid, 2011. "The value of travel time variance," Transportation Research Part B: Methodological, Elsevier, vol. 45(1), pages 1-8, January.
    30. Patrick A. Singleton, 2019. "Discussing the “positive utilities” of autonomous vehicles: will travellers really use their time productively?," Transport Reviews, Taylor & Francis Journals, vol. 39(1), pages 50-65, January.
    31. Mustapha Harb & Yu Xiao & Giovanni Circella & Patricia L. Mokhtarian & Joan L. Walker, 2018. "Projecting travelers into a world of self-driving vehicles: estimating travel behavior implications via a naturalistic experiment," Transportation, Springer, vol. 45(6), pages 1671-1685, November.
    32. Hjorth, Katrine & Börjesson, Maria & Engelson, Leonid & Fosgerau, Mogens, 2015. "Estimating exponential scheduling preferences," Transportation Research Part B: Methodological, Elsevier, vol. 81(P1), pages 230-251.
    33. Fosgerau, Mogens & Karlström, Anders, 2010. "The value of reliability," Transportation Research Part B: Methodological, Elsevier, vol. 44(1), pages 38-49, January.
    34. Xiaojuan Yu & Vincent van den Berg & Erik Verhoef, 2019. "Autonomous cars and dynamic bottleneck congestion revisited: how in-vehicle activities determine aggregate travel patterns," Tinbergen Institute Discussion Papers 19-067/VIII, Tinbergen Institute.
    35. Small, Kenneth A, 1982. "The Scheduling of Consumer Activities: Work Trips," American Economic Review, American Economic Association, vol. 72(3), pages 467-479, June.
    36. Sergejs Gubins & Erik T. Verhoef, 2011. "Teleworking and Congestion: A Dynamic Bottleneck Analysis," Tinbergen Institute Discussion Papers 11-096/3, Tinbergen Institute.
    Full references (including those not matched with items on IDEAS)

    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. Li, Zhi-Chun & Huang, Hai-Jun & Yang, Hai, 2020. "Fifty years of the bottleneck model: A bibliometric review and future research directions," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 311-342.
    2. Kenneth Small, 2015. "The Bottleneck Model: An Assessment and Interpretation," Working Papers 141506, University of California-Irvine, Department of Economics.
    3. Small, Kenneth A., 2015. "The bottleneck model: An assessment and interpretation," Economics of Transportation, Elsevier, vol. 4(1), pages 110-117.
    4. Li, Zhi-Chun & Lam, William H.K. & Wong, S.C., 2017. "Step tolling in an activity-based bottleneck model," Transportation Research Part B: Methodological, Elsevier, vol. 101(C), pages 306-334.
    5. Zhu, Tingting & Li, Yao & Long, Jiancheng, 2022. "Departure time choice equilibrium and tolling strategies for a bottleneck with continuous scheduling preference," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).
    6. Lamotte, Raphaël & de Palma, André & Geroliminis, Nikolas, 2017. "On the use of reservation-based autonomous vehicles for demand management," Transportation Research Part B: Methodological, Elsevier, vol. 99(C), pages 205-227.
    7. André de Palma & Mogens Fosgerau, 2011. "Dynamic Traffic Modeling," Chapters, in: André de Palma & Robin Lindsey & Emile Quinet & Roger Vickerman (ed.), A Handbook of Transport Economics, chapter 9, Edward Elgar Publishing.
    8. Zhao, Yan & Guo, Xiaolei & Liu, Henry X., 2021. "The impact of autonomous vehicles on commute ridesharing with uncertain work end time," Transportation Research Part B: Methodological, Elsevier, vol. 143(C), pages 221-248.
    9. Xiaojuan Yu & Vincent van den Berg & Erik Verhoef, 2019. "Autonomous cars and dynamic bottleneck congestion revisited: how in-vehicle activities determine aggregate travel patterns," Tinbergen Institute Discussion Papers 19-067/VIII, Tinbergen Institute.
    10. Zhang, Xiang & Liu, Wei & Waller, S. Travis & Yin, Yafeng, 2019. "Modelling and managing the integrated morning-evening commuting and parking patterns under the fully autonomous vehicle environment," Transportation Research Part B: Methodological, Elsevier, vol. 128(C), pages 380-407.
    11. Yu, Xiaojuan & van den Berg, Vincent A.C. & Verhoef, Erik T. & Li, Zhi-Chun, 2022. "Will all autonomous cars cooperate? Brands’ strategic interactions under dynamic congestion," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 166(C).
    12. Small, Kenneth A., 2012. "Valuation of travel time," Economics of Transportation, Elsevier, vol. 1(1), pages 2-14.
    13. Xiao, Yu & Coulombel, Nicolas & Palma, André de, 2017. "The valuation of travel time reliability: does congestion matter?," Transportation Research Part B: Methodological, Elsevier, vol. 97(C), pages 113-141.
    14. Lindsey, Robin & de Palma, André & Silva, Hugo E., 2019. "Equilibrium in a dynamic model of congestion with large and small users," Transportation Research Part B: Methodological, Elsevier, vol. 124(C), pages 82-107.
    15. Fosgerau, Mogens & Kim, Jinwon, 2019. "Commuting and land use in a city with bottlenecks: Theory and evidence," Regional Science and Urban Economics, Elsevier, vol. 77(C), pages 182-204.
    16. Tian, Li-Jun & Sheu, Jiuh-Biing & Huang, Hai-Jun, 2019. "The morning commute problem with endogenous shared autonomous vehicle penetration and parking space constraint," Transportation Research Part B: Methodological, Elsevier, vol. 123(C), pages 258-278.
    17. Pudāne, Baiba & van Cranenburgh, Sander & Chorus, Caspar G., 2021. "A day in the life with an automated vehicle: Empirical analysis of data from an interactive stated activity-travel survey," Journal of choice modelling, Elsevier, vol. 39(C).
    18. Li, Zhi-Chun & Zhang, Liping, 2020. "The two-mode problem with bottleneck queuing and transit crowding: How should congestion be priced using tolls and fares?," Transportation Research Part B: Methodological, Elsevier, vol. 138(C), pages 46-76.
    19. Carrion, Carlos & Levinson, David, 2012. "Value of travel time reliability: A review of current evidence," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(4), pages 720-741.
    20. Bounie, Nathan & Adoue, François & Koning, Martin & L'Hostis, Alain, 2019. "What value do travelers put on connectivity to mobile phone and Internet networks in public transport? Empirical evidence from the Paris region," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 158-177.

    More about this item

    Keywords

    Automated vehicles; On-board activities; Scheduling preferences; Departure time choice; Bottleneck model; Traffic congestion;
    All these keywords.

    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

    Statistics

    Access and download statistics

    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:pra:mprapa:96328. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.