This part of the review aims to reduce the start-up burden of data collection and descriptive
analytics for statistical modeling and route optimization of risk associated with motor …

For the last two decades, intelligent transportation systems (ITS) have emerged as an
efficient way of improving the performance of transportation systems, enhancing travel …

The rapid advancements in sensor technologies has resulted in the increased use of
Automatic Vehicle Location (AVL) systems for traffic data collection. Global Position System …

Temporal data visualization is used to analyze dependent variables that vary over time, with
time being an independent variable. Visualizing temporal data is inherently difficult, due to …

Within a smart city, Intelligent Transportation Systems (ITS), especially all kinds of sensors,
provide valuable resource for traffic knowledge discovery. This paper presents the critical …

Quality control of climate data obtained from weather stations is essential to ensure reliability
of research and services based on this data. One way to perform this control is to compare …

With the introduction of various automated sensors, traffic data collection has become easier
and huge amount of data are getting accumulated over time. One of the interesting …

This research focuses on addressing the issue of inefficient operation of traffic signals under
Heterogeneous and Less-Lane-Disciplined (HLLD) traffic conditions in developing countries …

Supply chain management aims to understand and explain how organizations should
collaborate within a chain to improve the overall competitiveness of the chain and smooth …

The density of vehicles on the road especially in urban areas keeps on increasing to large
amount day by day. Especially during the peak hours of the day, large amount of people …