Review of data fusion methods for real-time and multi-sensor traffic flow analysis
SA Kashinath, SA Mostafa, A Mustapha… - IEEE …, 2021 - ieeexplore.ieee.org
Recently, development in intelligent transportation systems (ITS) requires the input of
various kinds of data in real-time and from multiple sources, which imposes additional …
various kinds of data in real-time and from multiple sources, which imposes additional …
Artificial intelligence in the smart city—a literature review
The influence of artificial intelligence (AI) in smart cities has resulted in enhanced efficiency,
accessibility, and improved quality of life. However, this integration has brought forth new …
accessibility, and improved quality of life. However, this integration has brought forth new …
Traffic accident detection and condition analysis based on social networking data
Accurate detection of traffic accidents as well as condition analysis are essential to
effectively restoring traffic flow and reducing serious injuries and fatalities. This goal can be …
effectively restoring traffic flow and reducing serious injuries and fatalities. This goal can be …
Can building “artificially intelligent cities” safeguard humanity from natural disasters, pandemics, and other catastrophes? An urban scholar's perspective
In recent years, artificial intelligence (AI) has started to manifest itself at an unprecedented
pace. With highly sophisticated capabilities, AI has the potential to dramatically change our …
pace. With highly sophisticated capabilities, AI has the potential to dramatically change our …
Deep journalism and DeepJournal V1. 0: a data-driven deep learning approach to discover parameters for transportation
We live in a complex world characterised by complex people, complex times, and complex
social, technological, economic, and ecological environments. The broad aim of our work is …
social, technological, economic, and ecological environments. The broad aim of our work is …
Imtidad: a reference architecture and a case study on developing distributed AI services for skin disease diagnosis over cloud, fog and edge
Several factors are motivating the development of preventive, personalized, connected,
virtual, and ubiquitous healthcare services. These factors include declining public health …
virtual, and ubiquitous healthcare services. These factors include declining public health …
Rapid transit systems: smarter urban planning using big data, in-memory computing, deep learning, and GPUs
Rapid transit systems or metros are a popular choice for high-capacity public transport in
urban areas due to several advantages including safety, dependability, speed, cost, and …
urban areas due to several advantages including safety, dependability, speed, cost, and …
TAAWUN: A decision fusion and feature specific road detection approach for connected autonomous vehicles
Road transportation is among the global grand challenges affecting human lives, health,
society, and economy, caused due to road accidents, traffic congestion, and other …
society, and economy, caused due to road accidents, traffic congestion, and other …
Challenges and opportunities of using data fusion methods for travel time estimation
Collection and analysis of traffic data are the most critical challenges in traffic control in
transportation networks. The dramatic growth of new technologies such as tiny devices …
transportation networks. The dramatic growth of new technologies such as tiny devices …
Data science and Machine learning in the Clouds: A Perspective for the Future
HB Barua - arXiv preprint arXiv:2109.01661, 2021 - arxiv.org
As we are fast approaching the beginning of a paradigm shift in the field of science, Data
driven science (the so called fourth science paradigm) is going to be the driving force in …
driven science (the so called fourth science paradigm) is going to be the driving force in …