Artificial intelligence for future intelligent transportation smarter and greener infrastructure design / edited by Rajesh Kumar Dhanaraj, PhD, Nilayam Kumar Kamila, PhD, Subhendu Kumar Pani, PhD, Balamurugan Balusamy, PhD, Vani Rajasekar, PhD.
| Format | Electronic |
| Edition | First edition. |
| Publication Info | Palm Bay, FL, USA : Apple Academic Press, Inc. ; Boca Raton, FL : CRC Press, 2024. |
| Description | pages cm |
| Supplemental Content | Full text available from eBooks on EBSCOhost |
| Subjects |
| Other author/creator | Dhanaraj, Rajesh Kumar. |
| Other author/creator | Kamila, Nilayam Kumar. |
| Other author/creator | Pani, Subhendu Kumar, 1980- |
| Other author/creator | Balusamy, Balamurugan. |
| Other author/creator | Rajasekar, Vani. |
| Partial contents | AI approaches in intelligent transportation systems / K. Nithya, S. Mythili, M. Kalamani, and M. Krishnamoorthi -- Smart air pollution monitoring and prediction system using deep learning enabled IoT technology / K. M. Karthick Raghunath, K. S. Arvind, K. S. Suganya, and R. Vinothsaravanan -- Various AI models to mitigate transport pollution / T. Janani, P. Sobiyaa, K. Sathis Kumar, S. Naveena, and P. Ponnila. |
| Abstract | "Emphasizing a sustainable and green approach, this new book presents an overview of state-of-the-art AI strategies for solving transportation challenges around the world, with a focus on traffic management, traffic safety, public transportation, urban mobility, and pollution mitigation. The book examines modern AI technologies such as IoT, cloud computing, machine learning, and neural networking in the context of fully automated transportation that meets current requirements. The volume provides an informative review of the difficulties and recent developments in smart mobility and transportation, encompassing technical, algorithmic, and social elements. The volume examines innovative service and platform concepts for future mobility. Artificial intelligence principles are examined as well as their implementation in modern hardware architecture. New machine learning issues for autonomous vehicles and fleets are investigated in the framework of artificial intelligence. In addition, the book investigates the human dynamics and social implications of future mobility concepts. Highlighting the research directions in this field, Artificial Intelligence for Future Intelligent Transportation: Smarter and Greener Infrastructure Design will be of value for researchers in cybersecurity, machine learning, data analysis, and artificial intelligence. Ethical hackers, students, and faculty will find useful information here as well"-- Provided by publisher. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2023031492 |
| ISBN | 9781774913529 (hbk) |
| ISBN | 9781774913536 (pbk) |
| ISBN | (ebk) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |