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【背景】随着智能网联汽车技术的持续发展,基于协同自适应巡航控制系统和V2V通信的货车组队技术使得车辆能够虚拟连接为队列行驶,显著减少队列中车辆的燃料消耗和二氧化碳排放,从而为公路货运节能减排目标的实现提供了新的思路。【目标】为深刻理解货车组队技术对道路货运系统的重要意义,总结货车组队效益评估与规划相关前沿研究成果,明确领域未来重点研究方向。【方法】首先,从燃料与排放、劳动力成本、交通效率与安全、道路基础设施四个方面系统性回顾了货车组队技术的潜在效益和影响因素。其次,从计划组队、实时组队、机会组队、利益分配四个方面,对促进货车组队技术、实现其潜在效益的相关研究进行综述,重点讨论各类模型的建模思想、求解算法及应用场景,并结合现有研究基础和未来可扩展的领域,提出了货车组队协调与规划的综合框架。最后,瞄准货车组队在我国公路货运市场的应用研究,预测了未来发展趋势和重点研究方向。【结论】现有研究通过真实车辆测试实验、仿真模拟实验以及规划数值实验等方法,证明了货车组队在燃料与排放、劳动力成本方面存在较为显著的潜在效益,但大规模潜在效益的实现依赖于有效的组队协调与规划方法,需要针对应用场景持续开发更加符合现实大规模路网应用的模型与算法;而货车组队对于交通效率与安全、道路基础设施的影响仍存在较大争议,需进一步探索,未来可基于数字孪生技术和实测数据更为真实地揭示其交互影响。【应用】研究成果对当前和未来驾驶场景下开发适用的货车组队规划和优化方法,有效挖掘货车组队技术潜在效益具有一定的指导意义。
Abstract:[Background] Owing to the ongoing advancement of intelligent connected vehicle technology, truck platooning technology based on cooperative adaptive cruise control and V2V communication has enabled vehicles to connect virtually and traverse in a convoy, thereby significantly reducing fuel consumption and carbon-dioxide emissions by vehicles within the platoon. This offers a novel approach for achieving energy-saving and emission-reduction goals for road freight transportation.[Objective] To obtain a profound understanding of the significance of truck-platooning technology in road freight transportation systems, summarize the cutting-edge research achievements based on the benefit evaluation and planning of truck platooning as well as identify key future research directions in this field. [Methods] First, the potential benefits and influencing factors of truck-platooning technology are reviewed systematically from four perspectives: fuel and emissions, labor costs, traffic efficiency and safety, and road infrastructure. Second, the planning study that facilitates the realization of the potential benefits of truck-platooning technology can be categorized into four aspects:planned platooning, real-time platooning, opportunistic platooning, and benefit distribution. Emphasis is placed on discussing the modeling concepts, solution algorithms, and their corresponding application scenarios. Moreover, a comprehensive framework for the coordination and planning of truck platooning is proposed based on the existing research foundation and prospective expandable fields.Finally, by targeting applied research on truck platooning in China's highway freight market, the future development trends and key research directions are forecasted. [Conclusions] Based on methods such as actual-vehicle testing, simulations, and numerical experiments on planning, studies show the relatively significant potential benefits of truck platooning in terms of fuel, emissions, and labor costs. However, the realization of potential large-scale benefits depends on effective platoon coordination and planning methods. Models and algorithms that are more suitable for real-world, largescale road network applications must be continuously developed based on the application scenarios.Moreover, significant controversies remain regarding the effect of truck platooning on traffic efficiency, safety, and road infrastructure. In the future, digital-twin technology and measured data can be used to reveal their interactive effects more realistically. [Application] The research findings serve as a reference for developing applicable truck platooning planning and optimization methods in current and future driving scenarios as well as for effectively leveraging the potential benefits of truck platooning technology.
[1]ZHAO Q, GUO Y, YE T, et al. Global, regional, and national burden of mortality associated with non-optimal ambient temperatures from 2000 to 2019:a three-stage modelling study[J]. The Lancet Planetary Health, 2021, 5(7):e415-e425.
[2]SCHROTEN A, WARRINGA G, BLES M. Marginal abatement cost curves for Heavy Duty Vehicles Background report[R]. Delft:CE Delft, 2012.
[3]沙爱民.高速公路客货系统分置建设对策建议与智慧运行模式探讨[J].中国公路学报, 2020, 33(5):1-7.SHA Aimin. Discussion on countermeasures and intelligent operation mode of division construction for the expressway passenger and freight transport system[J]. China Journal of Highway and Transport, 2020, 33(5):1-7.
[4]徐志刚,李金龙,赵祥模,等.智能公路发展现状与关键技术[J].中国公路学报, 2019, 32(8):1-24.XU Zhigang, LI Jinlong, ZHAO Xiangmo, et al. A review on intelligent road and its related key technologies[J].China Journal of Highway and Transport, 2019, 32(8):1-24.
[5]LAMMERT M P, DURAN A, DIEZ J, et al. Effect of platooning on fuel consumption of class 8 vehicles over a range of speeds, following distances, and mass[J]. SAE International Journal of Commercial Vehicles, 2014, 7(2):626-639.
[6]TAYLOR A H, DROEGE M J, SHAVER G M, et al. Capturing the impact of speed, grade, and traffic on class 8truck platooning[J]. IEEE Transactions on Vehicular Technology, 2020, 69(10):10506-10518.
[7]TSUGAWA S, JESCHKE S, SHLADOVER S E. A review of truck platooning projects for energy savings[J].IEEE Transactions on Intelligent Vehicles, 2016, 1(1):68-77.
[8]BHOOPALAM A K, AGATZ N, ZUIDWIJK R. Planning of truck platoons:a literature review and directions for future research[J]. Transportation Research Part B:Methodological, 2018, 107:212-228.
[9]CALVERT S C, SCHAKEL W J, VAN AREM B. Evaluation and modelling of the traffic flow effects of truck platooning[J]. Transportation Research Part C:Emerging Technologies, 2019, 105:1-22.
[10]JO Y, KIM J, OH C, et al. Benefits of travel time savings by truck platooning in Korean freeway networks[J].Transport Policy, 2019, 83:37-45.
[11]LIORIS J, PEDARSANI R, TASCIKARAOGLU F Y,et al. Platoons of connected vehicles can double throughput in urban roads[J]. Transportation Research Part C:Emerging Technologies, 2017, 77:292-305.
[12]MA K, WANG H, RUAN T. Analysis of road capacity and pollutant emissions:Impacts of Connected and automated vehicle platoons on traffic flow[J]. Physica A:Statistical Mechanics and Its Applications, 2021, 583:126301.
[13]唐立,卿三东,徐志刚,等.自动驾驶公众接受度研究综述[J].交通运输工程学报, 2020, 20(2):131-146.TANG Li, QING Sandong, XU Zhigang, et al. Research review on public acceptance of autonomous driving[J].Journal of Traffic and Transportation Engineering, 2020,20(2):131-146.
[14]BHOOPALAM A K, VAN DEN BERG R, AGATZ N, et al. The long road to automated trucking:insights from driver focus groups[J]. Transportation Research Part C:Emerging Technologies, 2023, 156:104351.
[15]ZHANG L, CHEN F, MA X, et al. Fuel economy in truck platooning:a literature overview and directions for future research[J]. Journal of Advanced Transportation,2020, 2020(1):2604012.
[16]LESCH V, BREITBACH M, SEGATA M, et al. An overview on approaches for coordination of platoons[J].IEEE Transactions on Intelligent Transportation Systems, 2022, 23(8):10049-10065.
[17]CHAN E. Overview of the SARTRE platooning project:technology leadership brief[DB/OL].(2012-10-08)[2025-02-01]. https://doi.org/10.4271/2012-01-9019.
[18]LARSON J, LIANG K Y, JOHANSSON K H. A distributed framework for coordinated heavy-duty vehicle platooning[J]. IEEE Transactions on Intelligent Transportation Systems, 2015, 16(1):419-429.
[19]BROWAND F, HAMMACHE M. The limits of drag behavior for two bluff bodies in tandem[DB/OL].(2004-03-08)[2025-02-01]. https://doi. org/10.4271/2004-01-1145.
[20]HAMMACHE M, MICHAELIAN M, BROWAND F.Aerodynamic forces on truck models, including two trucks in tandem[DB/OL].(2002-03-04)[2025-02-01].https://doi.org/10.4271/2002-01-0530.
[21]SCHITO P, BRAGHIN F. Numerical and experimental investigation on vehicles in platoon[J]. SAE International Journal of Commercial Vehicles, 2012, 5(1):63-71.
[22]MCAULIFFE B, LAMMERT M, LU X Y, et al. Influences on energy savings of heavy trucks using cooperative adaptive cruise control[DB/OL].(2018-04-03)[2025-02-01]. https://doi.org/10.4271/2018-01-1181.
[23]STEGNER E, WARD J, SIEFERT J, et al. Experimental fuel consumption results from a heterogeneous fourtruck platoon[DB/OL].(2021-004-06)[2025-02-01].https://doi.org/10.4271/2021-01-0071.
[24]TSUGAWA S, KATO S, AOKI K. An automated truck platoon for energy saving[C]//2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.San Francisco:IEEE, 2011:4109-4114.
[25]ZHANG Z. The truck platooning routing optimization model based on multicommodity network flow theory[J]. Journal of Advanced Transportation, 2023, 2023(1):6906655.
[26]DEVIKA K B, SUBRAMANIAN S C. Fuel economy and string stability:a dynamics based study on heavy road vehicle platoons[C]//2021 International Conference on COMmunication Systems&NETworkS(COMSNETS). Bangalore:IEEE, 2021:747-752.
[27]LIU D. Optimizing energy savings for a fleet of commercial autonomous vehicles via centralized and decentralized platooning decisions[D]. Clemson:Clemson University, 2020.
[28]BIBEKA A, SONGCHITRUKSA P, ZHANG Y. Assessing environmental impacts of ad-hoc truck platooning on multilane freeways[J]. Journal of Intelligent Transportation Systems, 2021, 25(3):281-292.
[29]REIS V, PEREIRA R, KANWAT P. Assessing the potential of truck platooning in short distances:the case study of Portugal[M]//Urban Freight Transportation Systems.Amsterdam:Elsevier, 2020:203-222.
[30]FRANZESE O, LASCURAIN M B, LOY L W. Effect of heavy-truck platooning fuel-efficiency gains on overall fuel efficiency[J]. Transportation Research Record:Journal of the Transportation Research Board, 2019, 2673(5):188-196.
[31]LAMMERT M P, BUGBEE B, HOU Y, et al. Exploring telematics big data for truck platooning opportunities[DB/OL].(2018-04-03)[2025-02-01]. https://doi. org/10.4271/2018-01-1083.
[32]MURATORI M, HOLDEN J, LAMMERT M, et al. Potentials for platooning in U.S. highway freight transport[J]. SAE International Journal of Commercial Vehicles,2017, 10(1):45-49.
[33]MA X, HUO E, YU H, et al. Mining truck platooning patterns through massive trajectory data[J]. KnowledgeBased Systems, 2021, 221:106972.
[34]谭二龙,李宏海,钟厚岳,等.基于轨迹数据的货车自发编队节油潜力估计[J].交通运输系统工程与信息,2022, 22(1):74-84.TAN Erlong, LI Honghai, ZHONG Houyue, et al. Estimating truck spontaneous platoon fuel-saving potential based on trajectory data[J]. Journal of Transportation Systems Engineering and Information Technology,2022, 22(1):74-84.
[35]CHEN J, CHEN H, GAO J, et al. A business model and cost analysis of automated platoon vehicles assisted by the Internet of things[J]. Proceedings of the Institution of Mechanical Engineers, Part D:Journal of Automobile Engineering, 2021, 235(2-3):721-731.
[36]PADDEU D, DENBY J. Decarbonising road freight:Is truck automation and platooning an opportunity?[J].Clean Technologies and Environmental Policy, 2022,24:1021-1035.
[37]SUN X. Facilitating cooperative truck platooning for energy savings:path planning, platoon formation and benefit redistribution[D]. Ann Arbor:University of Michigan, 2020.
[38]NORUZOLIAEE M, ZOU B, ZHOU Y. Truck platooning in the U. S. national road network:a system-level modeling approach[J]. Transportation Research Part E:Logistics and Transportation Review, 2021, 145:102200.
[39]VORONOV A, ANDERSSON J, ENGLUND C. Cut-ins in truck platoons:modeling loss of fuel savings[M]//Towards Connected and Autonomous Vehicle Highways.Cham:Springer International Publishing, 2020:11-26.
[40]LEE W J, KWAG S I, KO Y D. The optimal eco-friendly platoon formation strategy for a heterogeneous fleet of vehicles[J]. Transportation Research Part D:Transport and Environment, 2021, 90:102664.
[41]BOYSEN N, BRISKORN D, SCHWERDFEGER S.The identical-path truck platooning problem[J]. Transportation Research Part B:Methodological, 2018, 109:26-39.
[42]JANSSEN G R, ZWIJNENBERG J, BLANKERS I, et al.Truck platooning:driving the future of transportation[R]. Delft:TNO, 2015.
[43]ALBIŃSKI S, CRAINIC T G, MINNER S. The day-before truck platooning planning problem and the value of autonomous driving[M]. Montreal:University of Montreal, 2020.
[44]GERRITS B. An agent-based simulation model for truck platoon matching[J]. Procedia Computer Science, 2019,151:751-756.
[45]LARSEN R, RICH J, RASMUSSEN T K. Hub-based truck platooning:potentials and profitability[J]. Transportation Research Part E:Logistics and Transportation Review, 2019, 127:249-264.
[46]STEHBECK F. Designing and Scheduling Cost-Efficient Tours by Using the Concept of Truck Platooning[J]. Junior Management Science, 2019, 4(4):566-634.
[47]MENA-OREJA J, GOZALVEZ J. On the impact of platooning maneuvers on traffic[C]//2018 IEEE International Conference on Vehicular Electronics and Safety(ICVES). Madrid:IEEE, 2018:1-6.
[48]WANG M, VAN MAARSEVEEN S, HAPPEE R, et al.Benefits and risks of truck platooning on freeway operations near entrance ramp[J]. Transportation Research Record:Journal of the Transportation Research Board,2019, 2673(8):588-602.
[49]YANG D, KUIJPERS A, DANE G, et al. Impacts of large-scale truck platooning on Dutch highways[J].Transportation Research Procedia, 2019, 37:425-432.
[50]SALA M, SORIGUERA F. Capacity of a freeway lane with platoons of autonomous vehicles mixed with regular traffic[J]. Transportation Research Part B:Methodological, 2021, 147:116-131.
[51]JIN L,ČIČIĆM, AMIN S, et al. Modeling the impact of vehicle platooning on highway congestion:a fluid queuing approach[C]//Proceedings of the 21st International Conference on Hybrid Systems:Computation and Control(part of CPS Week). Porto:ACM, 2018:237-246.
[52]AXELSSON J, BERGH T, JOHANSSON A, et al.Truck platooning business case analysis[R]. Stockholm:RISE, 2020.
[53]AXELSSON J. Safety in vehicle platooning:a systematic literature review[J]. IEEE Transactions on Intelligent Transportation Systems, 2017, 18(5):1033-1045.
[54]BAKERMANS B A. Truck Platooning:Enablers, Barriers, Potential and Impacts[D]. Delft:Delft University of Technology, 2016.
[55]GARCIA A, PASTOR-SERRANO D. Determination of minimum horizontal curve radius for safe stopping sight distance of vehicles overpassing truck platoons[J]. Computer-Aided Civil and Infrastructure Engineering, 2022,37(5):539-557.
[56]FABER T, SHARMA S, SNELDER M, et al. Evaluating traffic efficiency and safety by varying truck platoon characteristics in a critical traffic situation[J]. Transportation Research Record:Journal of the Transportation Research Board, 2020, 2674(10):525-547.
[57]ELWARDANY M D, HANNA B N, SOULIMAN M. Estimating the impact of automated truck platoons on asphalt pavement’s fatigue life using artificial neural networks[J]. International Journal of Pavement Engineering, 2022, 23(12):4223-4235.
[58]HASSAN H M, DESSOUKY S, TALEBPOUR A, et al.Investigating the impacts of truck platooning on transportation infrastructure in the south-central region[DB/OL].(2020-11-01)[2025-02-10]. https://doi.org/10.5281/zenodo.4885110.
[59]HOQUE M M, LU Q, GHIASI A, et al. Highway cost analysis for platooning of connected and autonomous trucks[J]. Journal of Transportation Engineering, Part A:Systems, 2021, 147(1):04020148.
[60]SHE R F, OUYANG Y F. Generalized link cost function and network design for dedicated truck platoon lanes to improve energy, pavement sustainability and traffic efficiency[J]. Transportation Research Part C:Emerging Technologies, 2022, 140:103667.
[61]CHENG H, WANG Y, CHONG D, et al. Truck platooning reshapes greenhouse gas emissions of the integrated vehicle-road infrastructure system[J]. Nature Communications, 2023, 14:4495.
[62]GUNGOR O E, AL-QADI I L. All for one:centralized optimization of truck platoons to improve roadway infrastructure sustainability[J]. Transportation Research Part C:Emerging Technologies, 2020, 114:84-98.
[63]GUNGOR O E, SHE R, AL-QADI I L, et al. One for all:decentralized optimization of lateral position of autonomous trucks in a platoon to improve roadway infrastructure sustainability[J]. Transportation Research Part C:Emerging Technologies, 2020, 120:102783.
[64]SONG M, CHEN F, MA X. Organization of autonomous truck platoon considering energy saving and pavement fatigue[J]. Transportation Research Part D:Transport and Environment, 2021, 90:102667.
[65]YARNOLD M T, WEIDNER J S. Truck platoon impacts on steel girder bridges[J]. Journal of Bridge Engineering, 2019, 24(7):06019003.
[66]SAYED S M, SUNNA H N, MOORE P R. Truck platooning impact on bridge preservation[J]. Journal of Performance of Constructed Facilities, 2020, 34(3):04020029.
[67]TOHME R, YARNOLD M. Steel bridge load rating impacts owing to autonomous truck platoons[J]. Transportation Research Record:Journal of the Transportation Research Board, 2020, 2674(2):57-67.
[68]COUTO BRAGUIM T, LOU P, NASSIF H. Truck platooning to minimize load-induced fatigue in steel girder bridges[J]. Transportation Research Record:Journal of the Transportation Research Board, 2021, 2675(4):146-154.
[69]RANA M M, HOSSAIN K. Connected and autonomous vehicles and infrastructures:a literature review[J]. International Journal of Pavement Research and Technology,2023, 16:264-284.
[70]JOHANSSON A, NEKOUEI E, JOHANSSON K H, et al.Multi-fleet platoon matching:a game-theoretic approach[C]//2018 21st International Conference on Intelligent Transportation Systems(ITSC). Maui:IEEE, 2018:2980-2985.
[71]MEISEN P, SEIDL T, HENNING K. A data-mining technique for the planning and organization of truck platoons[C]//International Conference on Heavy Vehicles HVParis 2008:Heavy Vehicle Transport Technology(HVTT10). Paris:Wiley, 2009:389-402.
[72]柏喜红,陈旭梅,王莹,等.高速公路行程时间可靠性研究综述[J].交通运输工程与信息学报, 2014, 12(2):70-76.BAI Xihong, CHEN Xumei, WANG Ying, et al. Review on travel time reliability research of freeways[J]. Journal of Transportation Engineering and Information, 2014, 12(2):70-76.
[73]ZHANG W, JENELIUS E, MA X. Freight transport platoon coordination and departure time scheduling under travel time uncertainty[J]. Transportation Research Part E:Logistics and Transportation Review, 2017, 98:1-23.
[74]SUN X, YIN Y. Behaviorally stable vehicle platooning for energy savings[J]. Transportation Research Part C:Emerging Technologies, 2019, 99:37-52.
[75]LIANG K Y, MÅRTENSSON J, JOHANSSON K H.Heavy-duty vehicle platoon formation for fuel efficiency[J]. IEEE Transactions on Intelligent Transportation Systems, 2016, 17(4):1051-1061.
[76]HU Q, GU W, WU L, et al. Optimal autonomous truck platooning with detours, nonlinear costs, and a platoon size constraint[J]. Transportation Research Part E:Logistics and Transportation Review, 2024, 186:103545.
[77]CHEN S, WANG H, MENG Q. Autonomous truck scheduling for container transshipment between two seaport terminals considering platooning and speed optimization[J]. Transportation Research Part B:Methodological, 2021, 154:289-315.
[78]ABDOLMALEKI M, SHAHABI M, YIN Y, et al. Itinerary planning for cooperative truck platooning[J]. Transportation Research Part B:Methodological, 2021, 153:91-110.
[79]LUO F Q, LARSON J. A repeated route-then-schedule approach to coordinated vehicle platooning:algorithms,valid inequalities and computation[J]. Operations Research, 2022, 70(4):2477-2495.
[80]SEBE S M, MÜLLER J P. PFaRA:a platoon forming and routing algorithm for same-day deliveries[C]//Smart Cities, Green Technologies and Intelligent Transport Systems. Heraklion:Springer, 2021:297-320.
[81]NOURMOHAMMADZADEH A, HARTMANN S. Fuelefficient truck platooning by a novel meta-heuristic inspired from ant colony optimisation[J]. Soft Computing,2019, 23(5):1439-1452.
[82]VAN DE HOEF S, JOHANSSON K H, DIMAROGONAS D V. Fuel-efficient en route formation of truck platoons[J]. IEEE Transactions on Intelligent Transportation Systems, 2018, 19(1):102-112.
[83]NOURMOHAMMADZADEH A, HARTMANN S. Fuel efficient truck platooning with time restrictions and multiple speeds solved by a particle swarm optimisation[C]//Theory and Practice of Natural Computing. Dublin:Springer, 2018:188-200.
[84]LUO F, LARSON J, MUNSON T. Coordinated platooning with multiple speeds[J]. Transportation Research Part C:Emerging Technologies, 2018, 90:213-225.
[85]SOKOLOV V, LARSON J, MUNSON T, et al. Maximization of platoon formation through centralized routing and departure time coordination[J]. Transportation Research Record:Journal of the Transportation Research Board, 2017, 2667(1):10-16.
[86]NOURMOHAMMADZADEH A, HARTMANN S. The fuel-efficient platooning of heavy duty vehicles by mathematical programming and genetic algorithm[C]//Theory and Practice of Natural Computing. Cham:Springer,2016:46-57.
[87]LARSON J, MUNSON T, SOKOLOV V. Coordinated platoon routing in a metropolitan network[M]//2016 Proceedings of the Seventh SIAM Workshop on Combinatorial Scientific Computing. Philadelphia:Society for Industrial and Applied Mathematics, 2016:73-82.
[88]LARSSON E, SENNTON G, LARSON J. The vehicle platooning problem:computational complexity and heuristics[J]. Transportation Research Part C:Emerging Technologies, 2015, 60:258-277.
[89]KUNZE R, RAMAKERS R, HENNING K, et al. Efficient organization of truck platoons by means of data mining[C]//Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics. Funchal:SciTePress-Science and and Technology Publications, 2010:104-113.
[90]WANG Y, ZHANG J. The full truckload pickup and delivery problem with truck platooning[J]. Transportation Research Part E:Logistics and Transportation Review,2025, 193:103846.
[91]XIONG X, XIAO E, JIN L. Analysis of a stochastic model for coordinated platooning of heavy-duty vehicles[C]//2019 IEEE 58th Conference on Decision and Control(CDC). Nice:IEEE, 2019:3170-3175.
[92]XIONG X, SHA J, JIN L. Optimizing coordinated vehicle platooning:an analytical approach based on stochastic dynamic programming[J]. Transportation Research Part B:Methodological, 2021, 150:482-502.
[93]MAITI S, WINTER S, KULIK L, et al. The impact of flexible platoon formation operations[J]. IEEE Transactions on Intelligent Vehicles, 2020, 5(2):229-239.
[94]MAITI S, WINTER S, KULIK L, et al. Ad-hoc platoon formation and dissolution strategies for multi-lane highways[J]. Journal of Intelligent Transportation Systems,2023, 27(2):161-173.
[95]LARSON J, KAMMER C, LIANG K Y, et al. Coordinated route optimization for heavy-duty vehicle platoons[C]//16th International IEEE Conference on Intelligent Transportation Systems(ITSC 2013). The Hague:IEEE,2013:1196-1202.
[96]ADLER A, MICULESCU D, KARAMAN S. Optimal policies for platooning and ride sharing in autonomy-enabled transportation[M]//Algorithmic Foundations of Robotics XII. Cham:Springer International Publishing,2020:848-863.
[97]JOHANSSON A, TURRI V, NEKOUEI E, et al. Truck platoon formation at hubs:an optimal release time rule[J]. IFAC-PapersOnLine, 2020, 53(2):15312-15318.
[98]JOHANSSON A, MÅRTENSSON J, SUN X, et al. Realtime cross-fleet Pareto-improving truck platoon coordination[C]//2021 IEEE International Intelligent Transportation Systems Conference(ITSC). Indianapolis:IEEE,2021:996-1003.
[99]SUN X, YIN Y. Decentralized game-theoretical approaches for behaviorally-stable and efficient vehicle platooning[J]. Transportation Research Part B:Methodological, 2021, 153:45-69.
[100]GAN M, NIE Y, LIU X, et al. Where abouts of truckers:an empirical study of predictability[J]. Transportation Research Part C:Emerging Technologies, 2019,104:184-195.
[101]GAN M, QIAN Q, LI D, et al. Capturing the swarm intelligence in truckers:the foundation analysis for future swarm robotics in road freight[J]. Swarm and Evolutionary Computation, 2021, 62:100845.
[102]甘蜜,卿三东,刘晓波,等.货车轨迹数据在公路货运系统中应用研究综述[J].交通运输系统工程与信息,2021, 21(5):91-101, 113.GAN Mi, QING Sandong, LIU Xiaobo, et al. Review on application of truck trajectory data in highway freight system[J]. Journal of Transportation Systems Engineering and Information Technology, 2021,21(5):91-101,113.
[103]HAO Y, CHEN Z, SUN X, et al. Planning of truck platooning for road-network capacitated vehicle routing problem[J]. Transportation Research Part E:Logistics and Transportation Review, 2025, 194:103898.
[104]LIANG K Y, MÅRTENSSON J, JOHANSSON K H.Fuel-saving potentials of platooning evaluated through sparse heavy-duty vehicle position data[C]//2014 IEEE Intelligent Vehicles Symposium Proceedings. Dearborn:IEEE, 2014:1061-1068.
[105]LESCH V, KRUPITZER C, STUBENRAUCH K, et al.A comparison of mechanisms for compensating negative impacts of system integration[J]. Future Generation Computer Systems, 2021, 116:117-131.
[106]JOHANSSON A, MÅRTENSSON J. Game theoretic models for profit-sharing in multi-fleet platoons[C]//2019 IEEE Intelligent Transportation Systems Conference(ITSC). Auckland:IEEE, 2019:3019-3024.
[107]SUN X, YIN Y. An auction mechanism for platoon leader determination in single-brand cooperative vehicle platooning[J]. Economics of Transportation, 2021, 28:100233.
[108]SRISOMBOON I, LEE S. A sequence change algorithm in vehicle platooning for longer driving range[C]//2021 International Conference on Information Networking(ICOIN). Jeju Island:IEEE, 2021:24-27.
[109]CHEN S, WANG H, MENG Q. Cost allocation of cooperative autonomous truck platooning:Efficiency and stability analysis[J]. Transportation Research Part B:Methodological, 2023, 173:119-141.
[110]BOUCHERY Y, HEZARKHANI B, STAUFFER G. Coalition formation and cost sharing for truck platooning[J]. Transportation Research Part B:Methodological,2022, 165:15-34.
[111]CRAINIC T G, LAPORTE G. Planning models for freight transportation[J]. European Journal of Operational Research, 1997, 97(3):409-438.
[112]BESSELINK B, TURRI V, VAN DE HOEF S H, et al.Cyber-physical control of road freight transport[J]. Proceedings of the IEEE, 2016, 104(5):1128-1141.
[113]LIANG K Y, VAN DE HOEF S, TERELIUS H, et al.Networked control challenges in collaborative road freight transport[J]. European Journal of Control, 2016,30:2-14.
[114]VAN DE HOEF S, MÅRTENSSON J, DIMAROGONAS D V, et al. A predictive framework for dynamic heavy-duty vehicle platoon coordination[J]. ACM Transactions on Cyber-Physical Systems, 2019, 4(1):1-25.
基本信息:
DOI:10.19961/j.cnki.1672-4747.2025.02.011
中图分类号:U492.32
引用信息:
[1]卿三东,戴宇航,甘蜜.货车组队效益评估与规划研究综述[J].交通运输工程与信息学报,2025,23(04):89-109.DOI:10.19961/j.cnki.1672-4747.2025.02.011.
基金信息:
国家重点研发计划项目(2018YFB1601402)