[ 1 ] Qiu X, Luo H, Xu G, Zhong R, Huang GQ. Physical assets and service sharing for IoT-enabled Supply Hub in Industrial Park (SHIP). Int J Prod Econ 2015;159:4–15. 链接1

[ 2 ] Qiu X, Huang GQ, Lam JSL. A bilevel analytical model for dynamic storage pricing in a Supply Hub in Industrial Park (SHIP). IEEE Trans Autom Sci Eng 2015;12(3):1017–32. 链接1

[ 3 ] Feng J, Li F, Xu C, Zhong RY. Data-driven analysis for RFID-enabled smart factory: a case study. IEEE Trans Syst Man Cybern Syst 2020;50(1):81–8. 链接1

[ 4 ] Yu W, Liang F, He X, Hatcher WG, Lu C, Lin J, et al. A survey on the edge computing for the Internet of Things. IEEE Access 2018;6:6900–19. 链接1

[ 5 ] Satyanarayanan M. The emergence of edge computing. Computer 2017;50 (1):30–9. 链接1

[ 6 ] Mao Y, You C, Zhang J, Huang K, Letaief KB. A survey on mobile edge computing: the communication perspective. IEEE Commun Surv Tut 2017;19 (4):2322–58. 链接1

[ 7 ] Ha K, Chen Z, Hu W, Richter W, Pillai P, Satyanarayanan M. Towards wearable cognitive assistance. In: Proceedings of the 12th Annual International Conference on Mobile Systems, Applications, and Services; 2014 Jun 16–19; Bretton Woods, NH, USA; 2014. p. 68–81.

[ 8 ] Zhao Z, Lin P, Shen L, Zhang M, Huang GQ. IoT edge computing-enabled collaborative tracking system for manufacturing resources in industrial park. Adv Eng Inform 2020;43:101044. 链接1

[ 9 ] Qi B, Xia Y, Li B, Shi K, Xue M. Family energy management system based on edge computing: architecture, key technology and implementation. Electr Power Constr 2018;39(3):33–41. 链接1

[10] Lin W, Sharma P, Chatterjee S, Sharma D, Lee D, Iyer S, et al. Scaling persistent connections for cloud services. Comput Netw 2015;93:518–30. 链接1

[11] Chen Y. Integrated and intelligent manufacturing: perspectives and enablers. Engineering 2017;3(5):588–95. 链接1

[12] Lv L, Shi Y, Shen W. Mobility-as-a-service research trends of 5G-based vehicle platooning. Serv Oriented Comput Appl 2021;15(1):1–3.

[13] Shi Y, Lin N, Han Q, Zhang T, Shen W. A method for transportation planning and profit sharing in collaborative multi-carrier vehicle routing. Mathematics 2020;8(10):1788. 链接1

[14] Pocovi G, Shariatmadari H, Berardinelli G, Pedersen K, Steiner J, Li Z. Achieving ultra-reliable low-latency communications: challenges and envisioned system enhancements. IEEE Network 2018;32(2):8–15. 链接1

[15] Guevara L, Cheein FA. The role of 5G technologies: challenges in smart cities and intelligent transportation systems. Sustainability 2020;12(16):6469. 链接1

[16] Sawanobori TK. The next generation of wireless: 5G leadership in the US Washington [presentation]. In: CTIA EverythingWireless; 2016 Feb 9; Washington, DC, USA; 2016.

[17] Campolo C, Molinaro A, Iera A, Menichella F. 5G network slicing for vehicle-toeverything services. IEEE Wirel Commun 2017;24(6):38–45. 链接1

[18] Shi Y, Han Q, Shen W, Zhang H. Potential applications of 5G communication technologies in collaborative intelligent manufacturing. IET Collab Intell Manuf 2019;1(4):109–16. 链接1

[19] Zhong RY, Xu X, Klotz E, Newman ST. Intelligent manufacturing in the context of Industry 4.0: a review. Engineering 2017;3(5):616–30. 链接1

[20] Kumar PM, Gandhi UD, Manogaran G, Sundarasekar R, Chilamkurti N, Varatharajan R. Ant colony optimization algorithm with Internet of Vehicles for intelligent traffic control system. Comput Netw 2018;144:154–62. 链接1

[21] Tolba A. Content accessibility preference approach for improving service optimality in internet of vehicles. Comput Netw 2019;152:78–86. 链接1

[22] Akpakwu GA, Silva BJ, Hancke GP, Abu-Mahfouz AM. A survey on 5G networks for the Internet of Things: communication technologies and challenges. IEEE Access 2018;6:3619–47. 链接1

[23] Butt TA, Iqbal R, Shah SC, Umar T. Social Internet of Vehicles: architecture and enabling technologies. Comput Electr Eng 2018;69:68–84. 链接1

[24] Li W, Xiao M, Yi Y, Gao L. Maximum variation analysis based analytical target cascading for multidisciplinary robust design optimization under interval uncertainty. Adv Eng Inform 2019;40:81–92. 链接1

[25] Rawat DB, Alsabet R, Bajracharya C, Song M. On the performance of cognitive Internet-of-Vehicles with unlicensed user-mobility and licensed user-activity. Comput Netw 2018;137:98–106. 链接1

[26] 3rd Generation Partnership Project; technical specification group services and system aspects; release 16 description. Report. Valbonne: 3GPP Support Office; 2020.

[27] Abdel Hakeem SA, Hady AA, Kim HW. 5G–V2X: standardization, architecture, use cases, network-slicing, and edge-computing. Wirel Netw 2020;26 (8):6015–41. 链接1

[28] Casas P, Schatz R. Quality of experience in cloud services: survey and measurements. Comput Netw 2014;68:149–65. 链接1

[29] Selimi M, Khan AM, Dimogerontakis E, Freitag F, Centelles RP. Cloud services in the Guifi.net community network. Comput Netw 2015;93:373–88. 链接1

[30] Schreiber M, Knöppel C, Franke U. LaneLoc: lane marking based localization using highly accurate maps. In: Proceedings of 2013 IEEE Intelligent Vehicles Symposium (IV); 2013 Jun 23–26; Gold Coast, QLD, Australia; 2013. p. 449–54.

[31] Liu Z, Yu S, Zheng N. A co-point mapping-based approach to drivable area detection for self-driving cars. Engineering 2018;4(4):479–90. 链接1

[32] Xu X, Hao J, Yu L, Deng Y. Fuzzy optimal allocation model for task–resource assignment problem in a collaborative logistics network. IEEE Trans Fuzzy Syst 2019;27(5):1112–25. 链接1

[33] Shriyam S, Gupta SK. Incorporation of contingency tasks in task allocation for multirobot teams. IEEE Trans Autom Sci Eng 2020;17(2):809–22. 链接1

[34] Ma H, Koenig S. AI Buzzwords explained: multi-agent path finding (MAPF). AI Matters 2017;3(3):15–9. 链接1

[35] Hönig W, Kumar TKS, Cohen L, Ma H, Xu H, Ayanian N, et al. Multi-agent path finding with kinematic constraints. In: Proceedings of the 26th International Joint Conference on Artificial Intelligence; 2017 Aug 19–25; Melbourne, VIC, Australia; 2017. p. 4869–73.

[36] Shen W, Wang L, Hao Q. Agent-based distributed manufacturing process planning and scheduling: a state-of-the-art survey. IEEE Trans Syst Man Cybern C 2006;36(4):563–77. 链接1

[37] Goldenberg M, Felner A, Stern R, Sharon G, Sturtevant N, Holte RC, et al. Enhanced partial expansion A*. J Artif Intell Res 2014;50:141–87. 链接1

[38] Wagner G, Choset H. Subdimensional expansion for multirobot path planning. Artif Intell 2015;219:1–24. 链接1

[39] Sharon G, Stern R, Goldenberg M, Felner A. The increasing cost tree search for optimal multi-agent pathfinding. Artif Intell 2013;195:470–95. 链接1

[40] Sharon G, Stern R, Felner A, Sturtevant NR. Conflict-based search for optimal multi-agent pathfinding. Artif Intell 2015;219:40–66. 链接1

[41] Jiang K, Yang D, Liu C, Zhang T, Xiao Z. A flexible multi-layer map model designed for lane-level route planning in autonomous vehicles. Engineering 2019;5(2):305–18. 链接1

[42] Talgorn B, Kokkolaras M. Compact implementation of non-hierarchical analytical target cascading for coordinating distributed multidisciplinary design optimization problems. Struct Multidiscipl Optim 2017;56 (6):1597–602. 链接1

[43] Guarneri P, Leverenz JT, Wiecek MM, Fadel G. Optimization of nonhierarchically decomposed problems. J Comput Appl Math 2013;246:312–9. 链接1

[44] Ghosh S, Mavris DN. A methodology for probabilistic analysis of distributed multidisciplinary architecture (PADMA). In: Proceeding of 17th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference; 2016 Jun 13–17; Wahington, DC, USA; 2016. p. 3210.