In intelligent transportation systems and railway signalling systems, considering that
wireless sensor networks are used to estimate the speed and position of trains, due to the …

Travel mode recognition is a key issue in urban planning and transportation research. While
traditional travel surveys use manual data collection and have limited coverage, poor …

Children's mobility is a complex issue and is widely discussed in the literature due to travel
safety [23] and children's health [4]. The problem is significant since the number of trips of …

Walking is the primary means of transportation. For assessing individual's health, travel
behaviour and benchmarking service levels of pedestrian infrastructure, walking/crossing …

In recent years, deep learning models have seen extensive use in various domains, with the
YOLO algorithm family emerging as a prominent player. YOLOv5, known for its real-time …

This article characterizes and presents Global Navigation Satellite Systems in relation to rail
transportation applications. Due to the review character of this article, a synthesis of the …

Optimization transportation cargo and passengers between ports and regions are very
important, because industrial regions are located some distance from ports. The demand for …

Accurate transportation mode identification is essential for traffic management and travel
planning. The rapid development of GPS-enabled devices has made it both popular and …

The smartphone-based sensors (including accelerometer, proximity, and gyroscope
sensors) are ubiquitous and emerging mobility data sources that could be used for …

Accurate and prompt traffic data are necessary for the successful management of major
events. Computer vision techniques, such as convolutional neural network (CNN) applied …