[1]. Tejas Rawal and V. Devadas, “Intelligent Transportation System in India,” Journal of Development Management and Communication, vol. 2, no. 3, pp. 299-308, sept 2015.
[2]. Swarnamugi M. and Chinnaiyan R., “Context—Aware Smart Reliable Service Model for Intelligent Transportation System Based on Ontology.” Lecture Notes in Electrical Engineering, vol. 597, pp. 22-30, Springer, Cham, 2019.
[3]. Matthew Veres and Medhat Moussa, “Deep Learning for Intelligent Transportation Systems: A Survey of Emerging Trends.” IEEE Transactions on Intelligent Transportation Systems, pp. 1-17, 2019.
[4]. Schilit, B., Theimer, M., “Disseminating Active Map Information to Mobile Hosts.” IEEE Network, vol. 8(5), pp. 22-32, 1994.
[5]. Dey, A.K, “Context-Aware Computing: The Cyber Desk Project.” AAAI 1998 Spring Symposium on Intelligent Environments, Technical Report, SS-98-02, pp. 51-54, 1998.
[6]. Abowd, G.D, Dey, A.K, Orr, R., Brotherton, J, “Context-Awareness in Wearable and Ubiquitous Computing.” 1st International Symposium on Wearable Computers, pp. 179-180, 1997.
[7]. Brown, P.J, Bovey, J.D. Chen X, “Context-Aware Applications: From the Laboratory to the Marketplace.” IEEE Personal Communications, vol. 4, no. 5, pp. 58-64, 1997.
[8]. Ryan N, Pascoe J, Morse, D, “Enhanced Reality Fieldwork: the Context-Aware Archaeological Assistant. In: Gaffney V, Van Leusen, M., Exxon, S. (eds.)”. Computer Applications and Quantitative Methods in Archaeology. Proceedings of the 25th Anniversary Conference, University of Birmingham, pp. 269-274, April 1997.
[9]. Franklin D, Flaschbart J, “All Gadget and No Representation Makes Jack a Dull Environment.” AAAI 1998 Spring Symposium on Intelligent Environments, Technical Report SS-98-02, pp. 155-160, 1998.
[10]. Ward, A., Jones, A., Hopper, A., “A New Location Technique for the Active Office.” IEEE Personal Communications, vol. 4, no. 5, pp. 42-47, 1997.
[11]. Salber, D., Dey, A.K., Abowd, G.D, “Ubiquitous Computing: Defining an HCI Research Agenda for an Emerging Interaction Paradigm.” Georgia Tech GVU Technical Report GIT-GVU-98-01, 1998.
[12]. Ward A, Jones A, Hopper A, “A New Location Technique for the Active Office.” IEEE Personal Communications, vol. 4, no. 5, pp. 42-47, 1997.
[13]. Hull R, Neaves P, Bedford-Roberts J, “Towards Situated Computing.” 1st International Symposium on Wearable Computers, pp. 146-153, 1997.
[14]. Junping Zhang, Fei-Yue Wang, Kunfeng Wang, Wei-Hua Lin, Xin Xu, Cheng Chen, “Data-Driven Intelligent Transportation Systems: A Survey.” IEEE Transactions on Intelligent Transportation Systems, vol. 12, no. 4, December 2011.
[15]. C. Perera, A. Zaslavsky, P. Christen, and D. Georgakopoulos, “Context aware computing for the internet of things: A survey,” IEEE Communications Surveys & Tutorials, vol. 16, no. 1, pp. 414–454, 2014.
[16]. Omer Berat Sezer, Erdogan Dogdu, Ahmet Murat Ozbayoglu, “Context Aware Computing, Learning and Big Data in Internet of Things: A Survey.” IEEE Internet of Things Journal, vol. 5, no. 1, pp. 1-27, Feb. 2018.
[17]. Li Zhu, Fei Richard Yu, Yige Wang, Bin Ning, Tao Tang, “Big Data Analytics in Intelligent Transportation Systems: A Survey.” IEEE Transactions on Intelligent Transportation Systems, vol. 20, no. 1, Jan. 2019.
[18]. Hamed Vahdat-Nejad, Azam Ramazani, Tahereh Mohammadi, Watiq Mansoor, “A Survey on Context-aware Vehicular Network Applications.” Vehicular Communications, Elsevier, pp. 1-15, 2016.
[19]. Abayomi Otebolaku and Gyu Myoung Lee, “A Framework for Exploiting Internet of Things for Context-Aware Trust-Based Personalized Services.” Mobile Information Systems, Hhindwai, 2018.
[20]. René Meier, Anthony Harrington, and Vinny Cahill, “Towards Delivering Context-Aware Transportation User Services.” IEEE Intelligent Transportation Systems Conference, pp. 369-376, September 2006.
[21]. Wolfgang Woerndl, Robert Eigner, “Collaborative, Context-Aware Applications for Inter-Networked Cars.” 16th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises, pp. 180-185, June 2007.
[22]. Simone Fuchs, Stefan Rass, Kyandoghere Kyamakya, “A Constraint-Based and Context-Aware Overtaking Assistant with Fuzzy probabilistic Risk Classification.” IADIS International Conference Wireless Application and Computing, pp. 93-100, Lisbon 2008.
[23]. Jie SUN, Zhao-hui WU, Gang PAN, “Context-aware smart car: from model to prototype.” Journal of Zhejiang University, vol. 10, no. 7, pp. 1049-1059, 2009.
[24]. Han-wen Chang, Yu-chin Tai and Jane Yung-jen Hsu, “Context-aware taxi demand hotspots prediction.” International Journal of Business Intelligence and Data Mining, vol. 5, no. 1, pp. 3-18, 2010.
[25]. Vaninha Vieira, Luiz Rodrigo Caldas, Ana Carolina Salgado, “Towards a Ubiquitous and Context Sensitive Public Transportation System.” Fourth IEEE International Conference on Ubi-Media Computing, 2011.
[26]. Wael Alghamdia, Elhadi Shakshukia,Tarek R.Sheltamiba, “Context-Aware Driver Assistance System.” International Conference on Mobile Web Information Systems, Procedia Computer Science, pp. 785 – 794, 2012.
[27]. Maneesha Vinodini. Ramesh, Vidya P.T, Preeja Pradeep, “Context Aware Wireless Sensor System Integrated with Participatory Sensing for Real Time Road Accident Detection.” IEEE International Conference on Wireless and Optical Communications Networks (WOCN), pp. 1-5, Bhopal, October 2013.
[28]. Yingling Fan, Julian Wolfson, Gediminas Adomavicius, Kirti Vardhan Das, Yash Khandelwal, Jie Kang, “SmarTrAC: A Smartphone Solution for Context-Aware Travel and Activity Capturing.” Research document, University of Minnesota, 2014.
[29]. Chunzhao Guo, Junichi Meguro, Yoshiko Kojima, and Takashi Naito, “A Multimodal ADAS System for Unmarked Urban Scenarios Based on Road Context Understanding.” IEEE Transactions on Intelligent Transportation Systems, vol. 16, no. 4 , Aug. 2015.
[30]. Maram Bani Younes, Azzedine Boukerche, Abdelhamid Mammeri, “Context-Aware Traffic Light Self-Scheduling Algorithm for Intelligent Transportation Systems.” IEEE Wireless Communications and Networking Conference (WCNC 2016), 2016.
[31]. Dennis Bohmlander, Tobias Dirndorfer, Ali Hilal Al-Bayatti, Thomas Brandmeier, “Context-aware system for pre-triggering irreversible vehicle safety actuators.” Accident Analysis and Prevention, Elsevier, 2017.
[32]. Razi Iqbal, Talal Ashraf Butt, M. Omair Shafiq, Manar Wasif Abu Talib, and Tariq Umar, “Context-Aware Data-Driven Intelligent Framework for Fog Infrastructures in Internet of Vehicles.” Sustainable Infrastructures, Protocols, and Research Challenges For Fog Computing, IEEE Access, vol. 6, pp. 58182- 58194, 2018.
[33]. Suresh Chavhan, Deepak Gupta, Member, Chandana B N, Ashish Khanna, Joel J. P. C. Rodrigues, “IoT-based Context-Aware Intelligent Public Transport System in a metropolitan area.” IEEE Internet of Things Journal, 2019.
[34]. Claudio Bettini et al. “A survey of context modelling and reasoning techniques”. In: Pervasive and Mobile Computing, Elsevier, pp. 161–180, 2010.
[35]. P Nurmi and P Floreen. “Reasoning in context-aware systems”. In: Helsinki Institute for Information Technology, 1, pp. 1–6., 2004.
[36]. J. Mantyjarvi and T. Seppanen, “Adapting applications in mobile terminals using fuzzy context information,” in Proceedings of the 4th International Symposium on Mobile Human-Computer Interaction, London, UK, Springer-Verlag, pp. 95– 107, 2002.
[37]. J. Mantyjarvi and T. Seppanen, “Adapting applications in mobile terminals using fuzzy context information,” in Proceedings of the 4th International Symposium on Mobile Human-Computer Interaction, London, UK, Springer-Verlag, , pp. 95– 107, 2002.
[38]. P. Blunsom, “Hidden markov models,” University of Melbourne, tutorial, August 2004.
[39]. Meeras Salman Al-Shemarry , Yan Li , and Shahab Abdulla, “An Efficient Texture Descriptor for the Detection of License Plates From Vehicle Images in Difficult Conditions.” IEEE Transactions on Intelligent Transportation Systems, vol. 21, no. 2, pp. 553-564, Feb. 2020.
[40]. Bike Chen, Chen Gong , Jian Yang, “Importance-Aware Semantic Segmentation for Autonomous Vehicles.” IEEE Transactions on Intelligent Transportation Systems, vol. 20, no. 1, pp. 137-148, Jan. 2019.
[41]. K. V. Laerhoven, “Combining the self-organizing map and k-means clustering for on-line classification of sensor data,” in Proceedings of the International Conference on Artificial Neural Networks, London, UK, Springer-Verlag, pp. 464–469, 2001.
[42]. Monireh Abdoos , Nasser Mozayani and Ana L. C. Bazzan, “Traffic Light Control in Non-stationary Environments based on Multi Agent Q-learning.” 14th International IEEE Conference on Intelligent Transportation Systems Washington, DC, USA. October 5-7, 2011.
[43]. A. De Brébisson, É. Simon, A. Auvolat, P. Vincent, and Y. Bengio, “Artificial neural networks applied to taxi destination prediction,” in Proc. Int. Conf. ECML PKDD Discovery Challenge, vol. 1526, pp. 40–51, 2015.
[44]. Y. Lv, Y. Duan, W. Kang, Z. Li, and F.-Y. Wang, “Traffic flow prediction with big data: A deep learning approach,” IEEE Trans. Intelligent Transportation Systems, vol. 16, no. 2, pp. 865–873, Apr. 2015.
[45]. F. Toqué, E. Côme, M. K. El Mahrsi, and L. Oukhellou, “Forecasting dynamic public transport origin-destination matrices with long-short term memory recurrent neural networks,” IEEE 19th International Conference on Intelligent Transportation Systems, pp. 1071–1076, Nov. 2016.
[46]. C. Siripanpornchana, S. Panichpapiboon, and P. Chaovalit, “Travel-time prediction with deep learning,” in Proc. IEEE Region Conference, pp. 1859–1862, Nov. 2016.
[47]. J. Xu, R. Rahmatizadeh, L. Bölöni, and D. Turgut, “Real-time prediction of taxi demand using recurrent neural networks,” IEEE Transaction on Intelligent Transportation Systems., vol. 19, no. 8, pp. 2572–2581, Aug. 2017.
[48]. X. Jiang, E. N. de Souza, A. Pesaranghader, B. Hu, D. L. Silver, and S. Matwin, “TrajectoryNet: An embedded GPS trajectory representation for point-based classification using recurrent neural networks,” International Conference on Computer Science Software Engineering , pp. 192–200, 2017.
[49]. H. Yao et al., “Deep multi-view spatial–temporal network for taxi demand prediction,” in Proceedings of 32nd AAAI Conference on Artificial Intelligence, pp. 1–8, 2018.
[50]. I. Jindal, Z. T. Qin, X. Chen, M. Nokleby, and J. Ye, “Optimizing taxi carpool policies via reinforcement learning and spatio-temporal mining,” in Proc. IEEE International Conference on Big Data, pp. 1417–1426, Dec. 2018.
[51]. T. Nishi, K. Otaki, K. Hayakawa, and T. Yoshimura, “Traffic signal control based on reinforcement learning with graph convolutional neural nets,” in Proceedings of 21st International Conference on Intelligent Transportation Systems, pp. 877–883, Nov. 2018.
[52]. P. Krishnakumari, A. Perotti, V. Pinto, O. Cats, and H. van Lint, “Understanding network traffic states using transfer learning,” in Proceedings of 21st International Conference on Intelligent Transportation Systems, pp. 1396–1401, Nov. 2018.
[53]. X. Geng, Y. Li, L. Wang, L. Zhang, Q. Yang, J. Ye, and Y. Liu, “Spatiotemporal multi-graph convolution network for ride-hailing demand forecasting,” in Proceedings of 32rd AAAI Conference on Artificial Intelligence, pp. 1–8, 2019.
[54]. X. Liang, X. Du, G. Wang, and Z. Han, “A deep reinforcement learning network for traffic light cycle control,” IEEE Transaction on Vehicular Technologies, vol. 68, no. 2, pp. 1243–1253, Feb. 2019.
[55]. M Swarnamugi and R Chinnaiyan, “Cloud and fog computing models for internet of things.” International Journal for Research in Applied Science and Engineering Technology, December 2017.
[56]. M Swarnamugi and R Chinnaiyan, “IoT hybrid computing model for intelligent transportation system (ITS).” IEEE Second International Conference on Computing Methodologies and Communication, pp. 802-806, Feb 2018.
[57]. Uddagiri Harini and Veeramuth Venkatesh, “A Context Aware Framework For Collision Avoidance With Deep Reinforcement Learning in VANET,” International Journal of Advanced Science and Technology Vol. 29, No. 6pp. 4383 - 4391, 2020.
[58]. Mr.S.Santhoshkumar, A.Gayathri, R.Hemalatha, A.Indhumathi and C.Kavishree, “Intelligent Traffic Light Cycle Control Using Machine Learning,” International Journal of Advanced Science and Technology Vol. 29, No. 6s, pp. 2644 - 2655, 2020.
[59]. Balachandar S., Chinnaiyan R. (2019) Reliable Digital Twin for Connected Footballer. In: Smys S., Bestak R., Chen JZ., Kotuliak I. (eds) International Conference on Computer Networks and Communication Technologies. Lecture Notes on Data Engineering and Communications Technologies, vol 15. Springer, Singapore
[60]. Balachandar S., Chinnaiyan R. (2019) Centralized Reliability and Security Management of Data in Internet of Things (IoT) with Rule Builder. In: Smys S., Bestak R., Chen JZ., Kotuliak I. (eds) International Conference on Computer Networks and Communication Technologies. Lecture Notes on Data Engineering and Communications Technologies, vol 15. Springer, Singapore
[61]. M. Swarnamugi and R. Chinnaiyan, "IoT Hybrid Computing Model for Intelligent Transportation System (ITS)," 2018 Second International Conference on Computing Methodologies and Communication (ICCMC), Erode, 2018, pp. 802-806
[62]. G. Sabarmathi and R. Chinnaiyan, "Reliable Machine Learning Approach to Predict Patient Satisfaction for Optimal Decision Making and Quality Health Care," 2019 International Conference on Communication and Electronics Systems (ICCES), Coimbatore, India, 2019, pp. 1489-1493
[63]. M. Swarnamugi and R. Chinnaiyan, "Smart and Reliable Transportation System based on Message Queuing Telemetry Transport Protocol," 2019 International Conference on Intelligent Computing and Control Systems (ICCS), Madurai, India, 2019, pp. 918-922
[64]. G. Sabarmathi and R. Chinnaiyan, "Investigations on big data features research challenges and applications," 2017 International Conference on Intelligent Computing and Control Systems (ICICCS), Madurai, 2017, pp. 782-786
[65]. M. Swarnamugi and R. Chinnaiyan, "IoT Hybrid Computing Model for Intelligent Transportation System (ITS)," 2018 Second International Conference on Computing Methodologies and Communication (ICCMC), Erode, 2018, pp. 802-806
[66]. G. Sabarmathi and R. Chinnaiyan, "Big Data Analytics Framework for Opinion Mining of Patient Health Care Experience," 2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC), Erode, India, 2020, pp. 352-357
[67]. Divya R., Chinnaiyan R. (2019) Reliable AI-Based Smart Sensors for Managing Irrigation Resources in Agriculture—A Review. In: Smys S., Bestak R., Chen JZ., Kotuliak I. (eds) International Conference on Computer Networks and Communication Technologies. Lecture Notes on Data Engineering and Communications Technologies, vol 15. Springer, Singapore.
[68]. Sabarmathi G., Chinnaiyan R. (2020) Envisagation and Analysis of Mosquito Borne Fevers: A Health Monitoring System by Envisagative Computing Using Big Data Analytics. In: Pandian A., Senjyu T., Islam S., Wang H. (eds) Proceeding of the International Conference on Computer Networks, Big Data and IoT (ICCBI - 2018). ICCBI 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 31. Springer, Cham.
[69]. Swarnamugi M., Chinnaiyan R. (2020) Context—Aware Smart Reliable Service Model for Intelligent Transportation System Based on Ontology. In: Singh P., Kar A., Singh Y., Kolekar M., Tanwar S. (eds) Proceedings of ICRIC 2019. Lecture Notes in Electrical Engineering, vol 597. Springer, Cham
[70]. R.Chinnaiyan and S.Balachandar BDET 2020: Proceedings of the 2020 2nd International Conference on Big Data Engineering and Technology, January 2020 Pages 106–111