Vehicular communication systems are at the forefront of intelligent transportation networks,
enabling advancements in safety, efficiency, and autonomous driving. In the rapidly evolving …

Advanced route planning algorithms are one of the key enabling technologies for emerging
electric and autonomous mobility. Large realistic data sets are needed to test such …

The analysis of trajectory datasets has numerous applications ranging from urban planning
to human mobility understanding, but to protect the privacy of individuals trajectory datasets …

This thesis approaches the road traffic modeling process at the microscopic level, focusing
on the car-following models. A review of the recent trends in this field is provided by the state …

This project is to investigate how accessibility of city blocks is quantified through the
transport systems and real traffic flow datafrom the Los Angeles Metropolitan Area. The …

Due to the rapidly growing communication require-ments among mobile real-world
communication devices, eg, smartphones, vehicles, and vessels, and the resulted …

Electric and autonomous mobility will increasingly rely on advanced route planning
algorithms. Robust testing of these algorithms is dependent on the availability of large …

The proliferation of personal computational devices over the past decade has led to an
unprecedented increase in data collection from Spatio-Temporal (ST) phenomena. Through …

Recently, spatial data became one of the most interesting fields related to big data studies,
in which the spatial data have been generated and consumed from different resources …

Two analyzes of Spark engine performance strategies to implement the Spark technique in a
matrix distributed computational algorithm, the multiplication of a sparse multiplication …