[10]
Kodali, R. K., Jain, V., Bose, S., Boppana, L. (2016). IoT based smart security and home automation system. In: Proceedings of the 2016 International Conference on Computing, Communication and Automation (ICCCA), Greater Noida, India.
[14]
Paulet, M. V., Salceanu, A., Neacsu, O. M. (2016). Ultrasonic radar. In: Proceedings of the 2016 International Conference and Exposition on Electrical and Power Engineering (EPE), Iasi, Romania.
[15]
Barbagli, B., Manes, G., Facchini, R., Manes, A. (2012). Acoustic sensor network for vehicle traffic monitoring. In: Proceedings of the 1st International Conference on Advances in Vehicular Systems, Technologies and Applications, Venice, Italy.
[16]
US NHTSA (2016). Department of transportation, national highway traffic safety administration.
[17]
Rajab, S. A., Mayeli, A., Refai, H. H. (2014). Vehicle classification and accurate speed calculation using multi-element piezoelectric sensor. In: Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, Dearborn, MI, USA.
[24]
Liu, J. H., Wang, S. Q., Yang, Q. C., Li, H. J., Deng, F. Z., Zhao, W. J. (2021). Feasibility study of power demand response for 5G base station. In: Proceedings of the 2021 IEEE International Conference on Power Electronics, Computer Applications, Shenyang, China.
[38]
Germanà, R., de Santis, E., Liberati, F., di Giorgio, A. (2021). On the participation of charging point operators to the frequency regulation service using plug-in electric vehicles and 5G communications. In: Proceedings of the 2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe, Bari, Italy.
[41]
Steinhorst, S., Lukasiewycz, M., Narayanaswamy, S., Kauer, M., Chakraborty, S. (2014). Smart cells for embedded battery management. In: Proceedings of the 2014 IEEE International Conference on Cyber-Physical Systems, Networks, and Applications, Hong Kong, China.
[45]
Hou, J. M., Gao, Y. (2010). Greenhouse wireless sensor network monitoring system design based on solar energy. In: Proceedings of the 2010 International Conference on Challenges in Environmental Science and Computer Engineering, Wuhan, China.
[49]
Gerla, M., Lee, E. K., Pau, G., Lee, U. (2014). Internet of vehicles: From intelligent grid to autonomous cars and vehicular clouds. In: Proceedings of the 2014 IEEE World Forum on Internet of Things (WF-IoT), Seoul, Korea.
[50]
Bhatt, G., Manoharan, K., Chauhan, P. S., Bhattacharya, S. (2019). MEMS sensors for automotive applications: A review. In: Bhattacharya, S., Agarwal, A., Prakash, O., et al. Eds. Sensors for Automotive and Aerospace Applications. Springer: Singapore.
[53]
Nitti, M., Girau, R., Floris, A., Atzori, L. (2014). On adding the social dimension to the Internet of Vehicles: Friendship and middleware. In: Proceedings of the 2014 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom), Odessa, Ukraine.
[56]
Magaki, I., Khazraee, M., Gutierrez, L. V., Taylor, M. B. (2016). ASIC clouds: specializing the datacenter. In: Proceedings of the 2016 ACM/IEEE 43rd Annual International Symposium on Computer Architecture, Seoul, Korea (South).
[66]
NREL (2010). Best practices guide for energy-efficient data center design. Technical report, National Renewable Laboratory, USA.
[73]
Wan, L. J., Sun, D. W., Deng, J. H. (2010). Application of IOT in building energy consumption supervision. In: Proceedings of the 2010 International Conference on Anti-Counterfeiting, Security and Identification, Chengdu, China.
[76]
Al-Dweik, A., Muresan, R., Mayhew, M., Lieberman, M. (2017). IoT-based multifunctional scalable real-time enhanced road side unit for intelligent transportation systems. In: Proceedings of the 2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE), Windsor, ON, Canada.
[77]
Saarika, P. S., Sandhya, K., Sudha, T. (2017). Smart transportation system using IoT. In: Proceedings of the 2017 International Conference on Smart Technologies for Smart Nation (SmartTechCon), Bengaluru, India.
[78]
Aydin, I., Karakose, M., Karakose, E. (2017). A navigation and reservation based smart parking platform using genetic optimization for smart cities. In: Proceedings of the 2017 5th International Istanbul Smart Grid and Cities Congress and Fair (ICSG), Stanbul, Turkey.
[83]
Soliman, I. A., Numair, M., Akl, M. M., Mansour, D. E. A., Elkholy, A. M., Hussien, M. G. (2021). Hosting capacity enhancement through IoT-based active power curtailment of PV generation. In: Proceedings of the 2021 22nd International Middle East Power Systems Conference (MEPCON), Assiut, Egypt.
[84]
Jiang, X. M., Li, Z. L., Zhang, Y., Zhou, Z. G., Tang, X., Zan, R. S. (2019). Research on leakage current filtering method of low voltage distribution network based on IoT. In: Proceedings of the 2019 IEEE 3rd Conference on Energy Internet and Energy System Integration, Changsha, China.
[89]
Fusco, G., Colombaroni, C., Comelli, L., Isaenko, N. (2015). Short-term traffic predictions on large urban traffic networks: Applications of network-based machine learning models and dynamic traffic assignment models. In: Proceedings of the 2015 International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), Budapest, Hungary.
[90]
Liu, W., Kim, S. W., Marczuk, K., Ang, M. H. (2014). Vehicle motion intention reasoning using cooperative perception on urban road. In: Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, Qingdao, China.
[91]
Wu, Q., Huang, C., Wang, S. Y., Chiu, W. C., Chen, T. (2007). Robust parking space detection considering inter-space correlation. In: Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, Beijing, China.
[93]
Kanoh, H., Furukawa, T., Tsukahara, S., Hara, K., Nishi, H., Kurokawa, H. (2005). Short-term traffic prediction using fuzzy c-means and cellular automata in a wide-area road network. In: Proceedings of the 2005 IEEE Intelligent Transportation Systems, 2005, Vienna, Austria.
[94]
Mamun, M. A. A., Puspo, J. A., Das, A. K. (2017). An intelligent smartphone based approach using IoT for ensuring safe driving. In: Proceedings of the 2017 International Conference on Electrical Engineering and Computer Science (ICECOS), Palembang, Indonesia.
[99]
Muhammad KaleemUllah Khan, Nadeem Javaid, Shakeeb Murtaza, Maheen Zahid, Wajahat Ali Gilani, and Muhammad Junaid Ali. Efficient energy management using fog computing. In: Barolli, L., Kryvinska, N., Enokido, T., et al. Eds. Advances in Network-Based Information Systems. Springer, Cham.
[104]
Pop, M., Avram, C., Domuţa, C., Radu, D., Aştilean, A. (2019). Route planning strategy for smart tourism services development. In: Proceedings of the 2019 6th International Symposium on Electrical and Electronics Engineering (ISEEE), Galati, Romania.
[117]
Chitchyan, R., Murkin, J. (2018). Review of blockchain technology and its expectations: Case of the energy sector. arXiv preprint: 1803.03567.
[119]
Swan, M. (2015). Blockchain: Blueprint for a new economy. Sebastopol, CA, USA: O’Reilly Media, Inc.
[124]
Mannaro, K., Pinna, A., Marchesi, M. (2017). Crypto-trading: Blockchain-oriented energy market. In: Proceedings of the 2017 AEIT International Annual Conference, Cagliari, Italy.
[125]
Sharma, P. K., Park, J. H. (2021). Blockchain-based secure mist computing network architecture for intelligent transportation sys-tems. IEEE Transactions on Intelligent Transportation Systems, 22: 5168–5177.
[136]
Thakur, S., Hayes, B. P., Breslin, J. G. (2018). Distributed double auction for peer to peer energy trade using blockchains. In: Proceedings of the 2018 5th International Symposium on Environment-Friendly Energies and Applications (EFEA), Rome, Italy.
[138]
Chaudhry, N., Yousaf, M. M. (2018). Consensus algorithms in blockchain: Comparative analysis, challenges and opportunities. In: Proceedings of the 2018 12th International Conference on Open Source Systems and Technologies (ICOSST), Lahore, Pakistan.
[139]
Porter, E. M., Heppelmann, E. J. (2015). How smart, connected products are transforming companies. Harvard Business Review, Available at https://hbr.org/2015/10/how-smart-connected-products-are-transforming-companies.
[140]
Muschalle, A., Stahl, F., Löser, A., Vossen, G. (2013). Pricing Approaches for Data Markets. In: Castellanos, M., Dayal, U., Rundensteiner, E. A. Eds. Enabling Real-Time Business Intelligence. BIRTE 2012. Lecture Notes in Business Information Processing. Springer, Berlin, Heidelberg.
[142]
Fernandez, R. C., Subramaniam, P., Franklin M. J. (2020). Data market platforms: Trading data assets to solve data problems. arXiv preprint: 2002.01047.
[152]
Ramachandran, G., Ji, X., Navaney, P., Zheng, L. C., Martinez, M., Krishnamachari, B. (2019). MOTIVE: Micropayments for trusted vehicular services. arXiv preprint: 1904.01630.
[157]
Wang, B. H., Guo, Q. L., Yang, T. Y. (2019). From uncertainty elimination to profit enhancement: Role of data in demand response. In: Proceedings of the 2019 IEEE Innovative Smart Grid Technologies—Asia (ISGT Asia), Chengdu, China.
[167]
Grieves, M. (2014). Digital twin: Manufacturing excellence through virtual factory replication. Available at https://www.researchgate.net/publication/275211047_Digital_Twin_Manufacturing_Excellence_through_Virtual_Factory_Replication#fullTextFileContent
[168]
Boschert, S., Rosen, R. (2016). Digital twin—The simulation aspect. In: Hehenberger, P., Bradley, D. Eds. Mechatronic Futures. Springer, Cham.
[175]
Pileggi, P., Verriet, J., Broekhuijsen, J., van Leeuwen, C., Wijbrandi W., Konsman M. (2019). A digital twin for cyber-physical energy systems. In: Proceedings of the 2019 7th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems (MSCPES), Montreal, QC, Canada.
[177]
Merkle, L., Segura, A. S., Torben Grummel, J., Lienkamp, M. (2019). Architecture of a digital twin for enabling digital services for battery systems. In: Proceedings of the 2019 IEEE International Conference on Industrial Cyber Physical Systems, Taipei, Taiwan, China.
[183]
Ahmadi, M., Kaleybar, H. J., Brenna, M., Castelli-Dezza, F., Carmeli, M. S. (2021). Adapting digital twin technology in electric railway power systems. In: Proceedings of the 2021 12th Power Electronics, Drive Systems, and Technologies Conference (PEDSTC), Tabriz, Iran.
[184]
Barosan, I., Basmenj, A.A., Chouhan, S.G.R., Manrique, D. (2020). Development of a virtual simulation environment and a digital twin of an autonomous driving truck for a distribution center. In: Muccini, H., Avgeriou, P., Buhnova, B., et al. Eds. Software Architecture. ECSA 2020. Communications in Computer and Information Science. Springer, Cham.
[186]
Veledar, O., Damjanovic-Behrendt, V., Macher, G. (2019). Digital twins for dependability improvement of autonomous driving. In: Walker, A., O'Connor, R., Messnarz, R. Eds. Systems, Software and Services Process Improvement. Springer, Cham.
[188]
Bécue, A., Fourastier, Y., Praça, I., Savarit, A., Baron, C., Gradussofs, B., Pouille, E., Thomas, C. (2018). CyberFactory#1—Securing the industry 4.0 with cyber-ranges and digital twins. In: Proceedings of the 2018 14th IEEE International Workshop on Factory Communication Systems, Imperia, Italy.
[189]
Bitton, R., Gluck, T., Stan, O., Inokuchi, M., Ohta, Y., Yamada, Y., Yagyu, T., Elovici, Y., Shabtai, A. (2018). Deriving a cost-effective digital twin of an ICS to facilitate security evaluation. In: Lopez, J., Zhou, J., Soriano, M. Eds. Computer Security. ESORICS 2018. Lecture Notes in Computer Science. Springer, Cham.
[191]
Yuan, Y. L., Huo, L. W., Hogrefe, D. (2017). Two layers multi-class detection method for network intrusion detection system. In: Proceedings of the 2017 IEEE Symposium on Computers and Communications, Heraklion, Greece.
[196]
Kim, J., Shin, N., Jo, S. Y., Kim, S. H. (2017). Method of intrusion detection using deep neural network. In: Proceedings of the 2017 IEEE International Conference on Big Data and Smart Computing (BigComp), Jeju.
[199]
Berndt, H., Emmert, J., Dietmayer, K. (2008). Continuous driver intention recognition with hidden Markov models. In: Proceedings of the 2008 11th International IEEE Conference on Intelligent Transportation Systems, Beijing, China.
[201]
Wang, Z. R., Liao, X. S., Zhao, X. P., Han, K., Tiwari, P., Barth, M. J., Wu, G. Y. (2020). A digital twin paradigm: Vehicle-to-cloud based advanced driver assistance systems. 2020 IEEE 91st Vehicular Technology Conference, Antwerp, Belgium.
[202]
Khosroshahi, A., Ohn-Bar, E., Trivedi, M. M. (2016). Surround vehicles trajectory analysis with recurrent neural networks. In: Proceedings of the 2016 IEEE 19th International Conference on Intelligent Transportation Systems, Rio de Janeiro, Brazil.
[211]
Fallah, A., Makhdoumi, A., Malekian, A., Ozdaglar, A. (2022). Optimal and differentially private data acquisition: Central and local mechanisms. arXiv preprint: 2201.03968.
[220]
Litman T. (2017). Autonomous Vehicle Implementation Predictions. Victoria, Canada: Victoria Transport Policy Institute.
[226]
Spieser, K., Treleaven, K., Zhang, R., Frazzoli, E., Morton, D., Pavone, M. (2014). Toward a systematic approach to the design and evaluation of automated mobility-on-demand systems: A case study in Singapore. In: Meyer, G., Beiker, S. Eds. Road Vehicle Automation. Springer, Cham.
[232]
Tyagi, A.K., Rekha, G., Sreenath, N. (2020). Beyond the hype: Internet of Things concepts, security and privacy concerns. In: Satapathy, S. C., Raju, K. S., Shyamala, K., et al. Eds. Advances in Decision Sciences, Image Processing, Security and Computer Vision. Springer, Cham.
[233]
Krishna, A. M., Tyagi, A. K. (2020). Intrusion detection in intelligent transportation system and its applications using blockchain technology. In: Proceedings of the 2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE), Vellore, India.
[256]
Elsner, P., Erlach, B., Fischedick, M., Lunz, B., Sauer, U. (2016). Flexibilitätskonzepte für die Stromversorgung 2050: Technologien, Szenarien, Systemzusammenhänge. München: acatech - Deutsche Akademie der Technikwissenschaften e.V. (in German)
[262]
UNFCCC (1997). Kyoto Protocol to the United Nations Framework Convention on Climate Change. United Nations Framework Convention on Climate Change (UNFCCC).
[272]
Altarawneh, A., Herschberg, T., Medury, S., Kandah, F., Skjellum, A. (2020). Buterin’s scalability trilemma viewed through a state-change-based classification for common consensus algorithms. In: Proceedings of the 2020 10th Annual Computing and Communication Workshop and Conference (CCWC), Las Vegas, NV, USA.
[276]
Lou, X., Guo, Y., Gao, Y., Waedt, K., Parekh, M. (2019). An idea of using Digital Twin to perform the functional safety and cybersecurity analysis. In: Proceedings of the INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik–Informatik für Gesellschaft (Workshop-Beiträge).
[278]
Protection Regulation. Regulation (eu) 2016/679 of theeuropean parliament and of the council. Regulation (eu),679:2016, 2016.
[282]
Fasugba, M. A., Krein, P. T. (2011). Cost benefits and vehicle-to-grid regulation services of unidirectional charging of electric vehicles. In: Proceedings of the 2011 IEEE Energy Conversion Congress and Exposition, Phoenix, AZ, USA.