Synopsis
The integration of advanced technologies has led to drastic changes in the field of urban planning and management. When using large amounts of data from numerous sources, machine learning models can mimic past scenarios which predict future events. Urban planners use these predictions when making infrastructure or administrative decisions geared towards a highly efficient and sustainable urban environment. Machine learning algorithms can reduce the wait times at intersections, stop-and-go traffic, and overall congestion by adjusting signal timings on a real-time basis according to live density of vehicles. Conventional bottlenecks are identified and possible route changes proposed to generate improved traffic flow across regions. Further research may continue encouraging urban planning and management innovation. Machine Learning and Robotics in Urban Planning and Management explores the integration of machine learning and robotics technology in urban and regional development. It examines solutions for traffic management, infrastructure improvements, and prediction models using intelligent technology. This book covers topics such as neural networks, smart cities, and transportation systems, and is a useful resource for urban developers, business owners, scientists, civil engineers, academicians, and researchers.
À propos des auteurs
Kamalesh Ravesangar is a highly committed academician with over 11 years of experience in teaching Certificate, Diploma, Degree, and supervision for MBA(coursework mode) students from various social and cultural backgrounds at private colleges and universities. Currently, she works as Assistant Lecturer at Tunku Abdul Rahman University of Management & Technology in Malaysia. Moreover, she has a total of three years of experience in industries related to educational, manufacturing, recruitment, and engineering. She is also a Professional Member of Malaysian Institute of Human Resource Management (MIHRM). A subject matter expert in human resource management, human resource development, management and organizational behavior studies. She has published articles and reviewed articles in online journal publications. She holds a Phd (doctorate) and a Master’s degree in Organizational Behavior and Human Resource Management. She is also peer-reviewer for a few journals in the field of Business, Management, HRM. In addition, she has been awarded ” Certificate of Recognition & Excellence in Reviewing by Asian Journal of Economics, Business & Accounting and Journal of Global Economics, Management and Business Research & Institute of Industry and Academic Research Incorporated (IIARI).
Christian Kaunert is Professor of International Security at Dublin City University, Ireland. He is also Professor of Policing and Security, as well as Director of the International Centre for Policing and Security at the University of South Wales. In addition, he is Jean Monnet Chair, Director of the Jean Monnet Centre of Excellence and Director of the Jean Monnet Network on EU Counter-Terrorism.
Dr. Bhupinder Singh working as Professor at Sharda University, India. Also, Honorary Professor in University of South Wales UK and Santo Tomas University Tunja, Colombia. His areas of publications as Smart Healthcare, Medicines, fuzzy logics, artificial intelligence, robotics, machine learning, deep learning, federated learning, IoT, PV Glasses, metaverse and many more. He has 3 books, 139 paper publications, 163 paper presentations in international/national conferences and seminars, participated in more than 40 workshops/FDP's/QIP's, 25 courses from international universities of repute, organized more than 59 events with international and national academicians and industry people’s, editor-in-chief and co-editor in journals, developed new courses. He has given talks at international universities, resource person in international conferences such as in Nanyang Technological University Singapore, Tashkent State University of Law Uzbekistan; KIMEP University Kazakhstan, All’ah meh Tabatabi University Iran, the Iranian Association of International Criminal law, Iran and Hague Center for International Law and Investment, The Netherlands, Northumbria University Newcastle UK, Taylor's University Malaysia, AFM Krakow University Poland, European Institute for Research and Development Georgia, Business and Technology University Georgia, Texas A & M University US name a few. His leadership, teaching, research and industry experience is of 16 years and 3 Months. His research interests are health law, criminal law, research methodology and emerging multidisciplinary areas as Blockchain Technology, IoT, Machine Learning, Artificial Intelligence, Genome-editing, Photovoltaic PV Glass, SDG’s and many more.
Sahil Lal is a Research Scholar at School of Law, Sharda University. He pursued his graduation from National Law University, Lucknow and completed his Master's in Law from Gujarat National Law University, Gandhinagar. Sahil has completed a certificate course on ‘AI & Law’ from Lund University, Sweden and on ‘Cyber Law’ from Indian Law Institute, New Delhi. Sahil Lal is a qualified UGC-NET & JRF candidate. He has a 10+ year Industry Experience and is an active member of Family Dispute Resolution Clinic, Mediation Center, Greater Noida. Sahil has attended 20+ International & National Conferences along with Paper Presentation and has also participated in more than 5+ Faculty Development Programme. Mr. Sahil has more than 20+ publications in various esteemed Journals & Books. Mr. Sahil has a keen interest in area of Artificial Intelligence, Machine Learning, Robotics, Block-Chain Technology and Intellectual Property Rights.
Manmeet Kaur Arora is a Research Scholar at School of Law, Sharda University, Greater Noida. She is graduate in Law and has completed her Master’s in Law from Amity University, Noida. Manmeet Kaur is a qualified Company Secretary Executive Programme. She has over 8+ year Industry Experience along with 1 year experience as an Associate at reputed IPR Law Firm. Manmeet Kaur has attended 20+ National & International Conferences, Webinars, Seminars and Symposiums along with Paper Presentations and participated in 5+ Faculty Development Programme. She has over 10+ publications in various esteemed Journals and Books. She is an active member at Family Dispute Resolution Clinic, Meditation Centre, Greater Noida. Manmeet Kaur has a keen Interest in area of Corporate Law, Intellectual Property Rights, Insolvency, Artificial Intelligence, Machine Learning, Block – chain Technology.
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