A Review of Machine Learning and IoT in Smart Transportation
University of West Attica · Hellenic Telecommunications and Post Commission (Greece)
Abstract
With the rise of the Internet of Things (IoT), applications have become smarter and connected devices give rise to their exploitation in all aspects of a modern city. As the volume of the collected data increases, Machine Learning (ML) techniques are applied to further enhance the intelligence and the capabilities of an application. The field of smart transportation has attracted many researchers and it has been approached with both ML and IoT techniques. In this review, smart transportation is considered to be an umbrella term that covers route optimization, parking, street lights, accident prevention/detection, road anomalies, and infrastructure applications. The purpose of this paper is to make a…
Citation impact
- FWCI
- 41.44
- Percentile
- 100%
- References
- 77
Authors
4Topics & keywords
- Computer science
- Internet of Things
- Intelligent transportation system
- Field (mathematics)
- Smart city
- Computer security
- Artificial intelligence
- Transport engineering