Truck platooning technology diffusion: System dynamics with matching platform consideration

Truck platooning pertains to virtually coupling trucks to cut aerodynamic drag. Despite its many benefits, the dynamics of the trucking industry in adopting this technology is not well understood. In this paper, we investigate the dynamics and particularly the impact of the presence of a matching pl...

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Vydáno v:Transportation research interdisciplinary perspectives Ročník 28; s. 101277
Hlavní autoři: Choobchian, Pooria, Zou, Bo, Spearing, Lauryn
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier Ltd 01.11.2024
Elsevier
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ISSN:2590-1982, 2590-1982
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Abstract Truck platooning pertains to virtually coupling trucks to cut aerodynamic drag. Despite its many benefits, the dynamics of the trucking industry in adopting this technology is not well understood. In this paper, we investigate the dynamics and particularly the impact of the presence of a matching platform on platooning technology diffusion. On the qualitative side, two positive feedback loops and a larger encompassing feedback loop are unveiled. On the quantitative side, tailored system dynamics models (SDMs) are developed to quantify the feedback loops and technology diffusion evolution. We demonstrate use of the SDMs by applying them to the US trucking industry. We find that having a matching platform can significantly accelerate the platooning technology adoption. The fuel and labor savings also substantially differ with a platform. The findings help inform decision- and policy-making towards more coordinated and beneficial truck platooning technology adoption and operations, thereby improving sustainability of freight transportation. •Investigate dynamics of the trucking industry in adopting platooning technology.•Two positive feedback loops and a larger encompassing feedback loop unveiled.•Tailored system dynamics models (SDMs) developed to quantify technology diffusion.•Demonstrate use of the SDMs by applying them to the US trucking industry.•Having a platform significantly accelerates platooning technology adoption.
AbstractList Truck platooning pertains to virtually coupling trucks to cut aerodynamic drag. Despite its many benefits, the dynamics of the trucking industry in adopting this technology is not well understood. In this paper, we investigate the dynamics and particularly the impact of the presence of a matching platform on platooning technology diffusion. On the qualitative side, two positive feedback loops and a larger encompassing feedback loop are unveiled. On the quantitative side, tailored system dynamics models (SDMs) are developed to quantify the feedback loops and technology diffusion evolution. We demonstrate use of the SDMs by applying them to the US trucking industry. We find that having a matching platform can significantly accelerate the platooning technology adoption. The fuel and labor savings also substantially differ with a platform. The findings help inform decision- and policy-making towards more coordinated and beneficial truck platooning technology adoption and operations, thereby improving sustainability of freight transportation. •Investigate dynamics of the trucking industry in adopting platooning technology.•Two positive feedback loops and a larger encompassing feedback loop unveiled.•Tailored system dynamics models (SDMs) developed to quantify technology diffusion.•Demonstrate use of the SDMs by applying them to the US trucking industry.•Having a platform significantly accelerates platooning technology adoption.
Truck platooning pertains to virtually coupling trucks to cut aerodynamic drag. Despite its many benefits, the dynamics of the trucking industry in adopting this technology is not well understood. In this paper, we investigate the dynamics and particularly the impact of the presence of a matching platform on platooning technology diffusion. On the qualitative side, two positive feedback loops and a larger encompassing feedback loop are unveiled. On the quantitative side, tailored system dynamics models (SDMs) are developed to quantify the feedback loops and technology diffusion evolution. We demonstrate use of the SDMs by applying them to the US trucking industry. We find that having a matching platform can significantly accelerate the platooning technology adoption. The fuel and labor savings also substantially differ with a platform. The findings help inform decision- and policy-making towards more coordinated and beneficial truck platooning technology adoption and operations, thereby improving sustainability of freight transportation.
ArticleNumber 101277
Author Spearing, Lauryn
Zou, Bo
Choobchian, Pooria
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Cites_doi 10.1016/j.ifacol.2020.12.2338
10.1016/j.tre.2020.102200
10.1109/TITS.2023.3298564
10.1109/TIV.2016.2577499
10.1109/TITS.2023.3262397
10.1016/j.trd.2020.102667
10.1016/j.tre.2023.103297
10.1145/167293.167311
10.1109/TITS.2023.3276482
10.1002/sdr.4260100211
10.1016/j.tre.2023.103269
10.1109/MITS.2022.3219997
10.1016/j.trb.2017.10.016
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Keywords Fuel and labor savings
Technology diffusion
Truck platooning
Matching platform
Positive feedback loop
System Dynamics Models
Language English
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References Bhoopalam, Agatz, Zuidwijk (b8) 2018; 107
Noruzoliaee, Zou, Zhou (b28) 2021; 145
Balador, Bazzi, Hernandez-Jayo, de la Iglesia, Ahmadvand (b6) 2022
Classadrivers (b11) 2008
IDOT (b20) 2023
Willemsen, Schmeitz, Mascalchi (b37) 2023; 24
Al-Qadi, Okte, Ramakrishnan, Zhou, Sayeh (b3) 2021
Chang (b9) 2023
Jeffs (b21) 2022
Johansson, Bai, Johansson, Mårtensson (b22) 2022; 15
Free Freight Search (b17) 2019
Sargent, R.G., 1992. Validation and verification of simulation models. In: Proceedings of the 24th Conference on Winter Simulation. pp. 104–114.
Rydell (b32) 2021
McAuliffe, Lammert, Lu, Shladover, Surcel, Kailas (b26) 2018
Bai, Johansson, Johansson, Mårtensson (b5) 2023
Schmeitz, Willemsen, Ellwanger (b34) 2023; 24
Peloton (b29) 2020
Forrester (b16) 1994; 10
Bai, Johansson, Johansson, Mårtensson (b4) 2021
Johansson, Turri, Nekouei, Johansson, Mårtensson (b24) 2020; 53
FMCSA Federal Motor Carrier Safety Administration (b15) 2022
Elgin (b14) 2023
Tsugawa, Jeschke, Shladover (b36) 2016; 1
Johansson, Nekouei, Sun, Johansson, Mårtensson (b23) 2023
Lammert, Duran, Diez, Burton, Nicholson (b25) 2014
Council (b12) 2018
Durabak (b13) 2021
ACEA (b2) 2017
Precedence Research (b30) 2022
Aboulkacem, Combes (b1) 2023; 178
Choobchian (b10) 2024
Gas Price (b19) 2023
Ganassin (b18) 2022
Barua, Zou, Choobchian (b7) 2023; 179
Song, Chen, Ma (b35) 2021; 90
Melton Truck Lines (b27) 2023
Quan (b31) 2020
Quan (10.1016/j.trip.2024.101277_b31) 2020
Choobchian (10.1016/j.trip.2024.101277_b10) 2024
Jeffs (10.1016/j.trip.2024.101277_b21) 2022
Johansson (10.1016/j.trip.2024.101277_b22) 2022; 15
IDOT (10.1016/j.trip.2024.101277_b20) 2023
10.1016/j.trip.2024.101277_b33
Bai (10.1016/j.trip.2024.101277_b5) 2023
Gas Price (10.1016/j.trip.2024.101277_b19) 2023
Johansson (10.1016/j.trip.2024.101277_b24) 2020; 53
Peloton (10.1016/j.trip.2024.101277_b29) 2020
Song (10.1016/j.trip.2024.101277_b35) 2021; 90
Forrester (10.1016/j.trip.2024.101277_b16) 1994; 10
Noruzoliaee (10.1016/j.trip.2024.101277_b28) 2021; 145
Council (10.1016/j.trip.2024.101277_b12) 2018
Barua (10.1016/j.trip.2024.101277_b7) 2023; 179
Bai (10.1016/j.trip.2024.101277_b4) 2021
Aboulkacem (10.1016/j.trip.2024.101277_b1) 2023; 178
Johansson (10.1016/j.trip.2024.101277_b23) 2023
Balador (10.1016/j.trip.2024.101277_b6) 2022
Al-Qadi (10.1016/j.trip.2024.101277_b3) 2021
Free Freight Search (10.1016/j.trip.2024.101277_b17) 2019
Classadrivers (10.1016/j.trip.2024.101277_b11) 2008
McAuliffe (10.1016/j.trip.2024.101277_b26) 2018
Bhoopalam (10.1016/j.trip.2024.101277_b8) 2018; 107
Tsugawa (10.1016/j.trip.2024.101277_b36) 2016; 1
FMCSA Federal Motor Carrier Safety Administration (10.1016/j.trip.2024.101277_b15) 2022
Chang (10.1016/j.trip.2024.101277_b9) 2023
Rydell (10.1016/j.trip.2024.101277_b32) 2021
Ganassin (10.1016/j.trip.2024.101277_b18) 2022
Elgin (10.1016/j.trip.2024.101277_b14) 2023
Schmeitz (10.1016/j.trip.2024.101277_b34) 2023; 24
ACEA (10.1016/j.trip.2024.101277_b2) 2017
Melton Truck Lines (10.1016/j.trip.2024.101277_b27) 2023
Precedence Research (10.1016/j.trip.2024.101277_b30) 2022
Durabak (10.1016/j.trip.2024.101277_b13) 2021
Lammert (10.1016/j.trip.2024.101277_b25) 2014
Willemsen (10.1016/j.trip.2024.101277_b37) 2023; 24
References_xml – volume: 178
  year: 2023
  ident: b1
  article-title: A micro-economic model of the market uptake of truck platooning
  publication-title: Transp. Res. Part E: Logist. Transp. Rev.
– year: 2022
  ident: b15
  article-title: A&i analysis & information online: custom report - registration data
– year: 2024
  ident: b10
  article-title: Matching Plans for Truck Platoon Groups
– year: 2022
  ident: b18
  article-title: How many truck drivers are in illinois?
– year: 2020
  ident: b29
  article-title: 2020 Peloton technology
– start-page: 1198
  year: 2021
  end-page: 1204
  ident: b4
  article-title: Event-triggered distributed model predictive control for platoon coordination at hubs in a transport system
  publication-title: 2021 60th IEEE Conference on Decision and Control
– year: 2023
  ident: b19
  article-title: State gas price averages
– volume: 24
  start-page: 8988
  year: 2023
  end-page: 9003
  ident: b34
  article-title: EU ENSEMBLE project: Reference design and implementation of the platooning support function
  publication-title: IEEE Trans. Intell. Transp. Syst.
– year: 2021
  ident: b3
  article-title: Truck Platooning on Flexible Pavements in Illinois
– year: 2018
  ident: b12
  article-title: Vehicle platooning for safety and efficiency act
– year: 2022
  ident: b21
  article-title: A history of ADAS: Emergence to essential
– year: 2022
  ident: b6
  article-title: A survey on vehicular communication for cooperative truck platooning application
  publication-title: Veh. Commun.
– year: 2014
  ident: b25
  article-title: Effect of Platooning on Fuel Consumption of Class 8 Vehicles Over a Range of Speeds, Following Distances, and Mass
– volume: 24
  start-page: 5705
  year: 2023
  end-page: 5718
  ident: b37
  article-title: EU ENSEMBLE project: Specification of an interoperable solution for a support function for platooning
  publication-title: IEEE Trans. Intell. Transp. Syst.
– volume: 107
  start-page: 212
  year: 2018
  end-page: 228
  ident: b8
  article-title: Planning of truck platoons: A literature review and directions for future research
  publication-title: Transp. Res. part B: Methodological
– year: 2021
  ident: b13
  article-title: How much does a semi-truck cost?
– volume: 10
  start-page: 245
  year: 1994
  end-page: 256
  ident: b16
  article-title: System dynamics, systems thinking, and soft OR
  publication-title: Syst. Dyn. Rev.
– volume: 90
  year: 2021
  ident: b35
  article-title: Organization of autonomous truck platoon considering energy saving and pavement fatigue
  publication-title: Transp. Res. Part D: Transp. Environ.
– year: 2023
  ident: b14
  article-title: Trucking statistics
– volume: 15
  start-page: 132
  year: 2022
  end-page: 144
  ident: b22
  article-title: Platoon cooperation across carriers: From system architecture to coordination
  publication-title: IEEE Intell. Transp. Syst. Mag.
– volume: 145
  year: 2021
  ident: b28
  article-title: Truck platooning in the US national road network: A system-level modeling approach
  publication-title: Transp. Res. Part E: Logist. Transp. Rev.
– volume: 53
  start-page: 15312
  year: 2020
  end-page: 15318
  ident: b24
  article-title: Truck platoon formation at hubs: An optimal release time rule
  publication-title: IFAC-PapersOnLine
– year: 2018
  ident: b26
  article-title: Influences on Energy Savings of Heavy Trucks Using Cooperative Adaptive Cruise Control
– year: 2020
  ident: b31
  article-title: The logit function: A tool for new things
– year: 2022
  ident: b30
  article-title: Truck platooning market size to worth around USD 3549.38 Bn by 2030
– year: 2021
  ident: b32
  article-title: How long do trucks last?
– year: 2023
  ident: b9
  article-title: Current federal reserve interest rate hikes as of september 13, 2023 and fed interest rate impacts
– year: 2023
  ident: b23
  article-title: Hub-based platoon formation: Optimal release policies and approximate solutions
  publication-title: IEEE Trans. Intell. Transp. Syst.
– reference: Sargent, R.G., 1992. Validation and verification of simulation models. In: Proceedings of the 24th Conference on Winter Simulation. pp. 104–114.
– year: 2023
  ident: b5
  article-title: Large-scale multi-fleet platoon coordination: A dynamic programming approach
  publication-title: IEEE Trans. Intell. Transp. Syst.
– year: 2017
  ident: b2
  publication-title: What is truck platooning?
– year: 2008
  ident: b11
  article-title: Average trip length of truck drivers. Forum discussion
– volume: 179
  year: 2023
  ident: b7
  article-title: Maximizing truck platooning participation with preferences
  publication-title: Transp. Res. Part E: Logist. Transp. Rev.
– year: 2023
  ident: b27
  article-title: Driver pay
– volume: 1
  start-page: 68
  year: 2016
  end-page: 77
  ident: b36
  article-title: A review of truck platooning projects for energy savings
  publication-title: IEEE Trans. Intell. Veh.
– year: 2023
  ident: b20
  article-title: Illinois department of transportation highway system
– year: 2019
  ident: b17
  article-title: How many miles do truckers drive a year?
– year: 2021
  ident: 10.1016/j.trip.2024.101277_b3
– year: 2023
  ident: 10.1016/j.trip.2024.101277_b14
– volume: 53
  start-page: 15312
  issue: 2
  year: 2020
  ident: 10.1016/j.trip.2024.101277_b24
  article-title: Truck platoon formation at hubs: An optimal release time rule
  publication-title: IFAC-PapersOnLine
  doi: 10.1016/j.ifacol.2020.12.2338
– year: 2020
  ident: 10.1016/j.trip.2024.101277_b31
– volume: 145
  year: 2021
  ident: 10.1016/j.trip.2024.101277_b28
  article-title: Truck platooning in the US national road network: A system-level modeling approach
  publication-title: Transp. Res. Part E: Logist. Transp. Rev.
  doi: 10.1016/j.tre.2020.102200
– year: 2023
  ident: 10.1016/j.trip.2024.101277_b5
  article-title: Large-scale multi-fleet platoon coordination: A dynamic programming approach
  publication-title: IEEE Trans. Intell. Transp. Syst.
  doi: 10.1109/TITS.2023.3298564
– volume: 1
  start-page: 68
  issue: 1
  year: 2016
  ident: 10.1016/j.trip.2024.101277_b36
  article-title: A review of truck platooning projects for energy savings
  publication-title: IEEE Trans. Intell. Veh.
  doi: 10.1109/TIV.2016.2577499
– year: 2022
  ident: 10.1016/j.trip.2024.101277_b15
– year: 2021
  ident: 10.1016/j.trip.2024.101277_b13
– year: 2023
  ident: 10.1016/j.trip.2024.101277_b27
– volume: 24
  start-page: 5705
  issue: 6
  year: 2023
  ident: 10.1016/j.trip.2024.101277_b37
  article-title: EU ENSEMBLE project: Specification of an interoperable solution for a support function for platooning
  publication-title: IEEE Trans. Intell. Transp. Syst.
  doi: 10.1109/TITS.2023.3262397
– year: 2018
  ident: 10.1016/j.trip.2024.101277_b12
– year: 2014
  ident: 10.1016/j.trip.2024.101277_b25
– year: 2019
  ident: 10.1016/j.trip.2024.101277_b17
– year: 2021
  ident: 10.1016/j.trip.2024.101277_b32
– year: 2020
  ident: 10.1016/j.trip.2024.101277_b29
– year: 2017
  ident: 10.1016/j.trip.2024.101277_b2
– volume: 90
  year: 2021
  ident: 10.1016/j.trip.2024.101277_b35
  article-title: Organization of autonomous truck platoon considering energy saving and pavement fatigue
  publication-title: Transp. Res. Part D: Transp. Environ.
  doi: 10.1016/j.trd.2020.102667
– year: 2022
  ident: 10.1016/j.trip.2024.101277_b21
– year: 2008
  ident: 10.1016/j.trip.2024.101277_b11
– volume: 179
  year: 2023
  ident: 10.1016/j.trip.2024.101277_b7
  article-title: Maximizing truck platooning participation with preferences
  publication-title: Transp. Res. Part E: Logist. Transp. Rev.
  doi: 10.1016/j.tre.2023.103297
– ident: 10.1016/j.trip.2024.101277_b33
  doi: 10.1145/167293.167311
– year: 2018
  ident: 10.1016/j.trip.2024.101277_b26
– year: 2022
  ident: 10.1016/j.trip.2024.101277_b30
– year: 2022
  ident: 10.1016/j.trip.2024.101277_b18
– volume: 24
  start-page: 8988
  issue: 9
  year: 2023
  ident: 10.1016/j.trip.2024.101277_b34
  article-title: EU ENSEMBLE project: Reference design and implementation of the platooning support function
  publication-title: IEEE Trans. Intell. Transp. Syst.
  doi: 10.1109/TITS.2023.3276482
– year: 2023
  ident: 10.1016/j.trip.2024.101277_b19
– year: 2024
  ident: 10.1016/j.trip.2024.101277_b10
– start-page: 1198
  year: 2021
  ident: 10.1016/j.trip.2024.101277_b4
  article-title: Event-triggered distributed model predictive control for platoon coordination at hubs in a transport system
– volume: 10
  start-page: 245
  issue: 2–3
  year: 1994
  ident: 10.1016/j.trip.2024.101277_b16
  article-title: System dynamics, systems thinking, and soft OR
  publication-title: Syst. Dyn. Rev.
  doi: 10.1002/sdr.4260100211
– volume: 178
  year: 2023
  ident: 10.1016/j.trip.2024.101277_b1
  article-title: A micro-economic model of the market uptake of truck platooning
  publication-title: Transp. Res. Part E: Logist. Transp. Rev.
  doi: 10.1016/j.tre.2023.103269
– volume: 15
  start-page: 132
  issue: 3
  year: 2022
  ident: 10.1016/j.trip.2024.101277_b22
  article-title: Platoon cooperation across carriers: From system architecture to coordination
  publication-title: IEEE Intell. Transp. Syst. Mag.
  doi: 10.1109/MITS.2022.3219997
– year: 2023
  ident: 10.1016/j.trip.2024.101277_b20
– year: 2022
  ident: 10.1016/j.trip.2024.101277_b6
  article-title: A survey on vehicular communication for cooperative truck platooning application
  publication-title: Veh. Commun.
– year: 2023
  ident: 10.1016/j.trip.2024.101277_b23
  article-title: Hub-based platoon formation: Optimal release policies and approximate solutions
  publication-title: IEEE Trans. Intell. Transp. Syst.
– volume: 107
  start-page: 212
  year: 2018
  ident: 10.1016/j.trip.2024.101277_b8
  article-title: Planning of truck platoons: A literature review and directions for future research
  publication-title: Transp. Res. part B: Methodological
  doi: 10.1016/j.trb.2017.10.016
– year: 2023
  ident: 10.1016/j.trip.2024.101277_b9
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Snippet Truck platooning pertains to virtually coupling trucks to cut aerodynamic drag. Despite its many benefits, the dynamics of the trucking industry in adopting...
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elsevier
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Publisher
StartPage 101277
SubjectTerms Fuel and labor savings
Matching platform
Positive feedback loop
System Dynamics Models
Technology diffusion
Truck platooning
Title Truck platooning technology diffusion: System dynamics with matching platform consideration
URI https://dx.doi.org/10.1016/j.trip.2024.101277
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