Advanced Intelligent Predictive Models for Urban Transportation

Autorentext

R. Sathiyaraj is an Assistant Professor in the School of Engineering & Technology at the CMR University, Bangalore, India. He obtained his Ph.D. in Computer Science and Engineering from Anna University, Chennai, India. He is a prominent researcher in the areas of Big Data analytics, machine learning, and the IoT and has published over 15 articles in various top international journals. He holds two authored books and one edited book.

A. Bharathi received her Bachelor's degree from Bharathiar University, Coimbatore, India and her postgraduate degree from Anna University, Chennai, India. She received her doctoral degree in Information and Communication Engineering, specializing in data mining, from Anna University, Chennai. She has over 22 years of teaching experience. She has published more than 85 research papers in reputed national and international journals, and presented more than 50 technical papers at international/national level conferences.

B. Balamurugan received his B.E. degree in Computer Science and Engineering from Bharathidasan University, Tiruchirappalli, India, in 2001, his M.E. degree in Computer Science and Engineering from Anna University, Chennai, India, in 2005, and his Ph.D. degree in Computer Science and Engineering from VIT University, Vellore, India, in 2015. He is currently a Professor with the School of Computing Science and Engineering, Galgotias University, Greater Noida, India. His current research interests include big data, network security, and cloud computing. He is a Pioneer Researcher in the areas of big data and the IoT and has published over 70 articles in various top international journals.

Klappentext

The book emphasizes the predictive models of Big Data, Genetic Algorithm and IoT with a case study. It also covers an Intelligent Traffic Light Controller and Deviation System, which can assist in modernizing the traffic system to smart traffic management system.

Inhalt

1. Overview 2. Related Works 3. Smart Traffic Prediction and Congestion Avoidance System (S-TPCA) Using Genetic Predictive Models for Urban Transportation 4. Short-Term Traffic Prediction Model (STTPM) 5. An Efficient Intelligent Traffic Light Control and Deviation System 6. IoT-Based Intelligent Transportation System (IoT-ITS) 7. Intelligent Traffic Light Control and Ambulance Control System. 8. Conclusions and Future Research. Bibliography. Index.