This paper presents a literature review about the application of blockchain-based systems in
transportation. The main aim was to identify, through the implementation of a multi-step …

Various studies have been focusing on a wide range of techniques to detect traffic flow
characteristics, like speed and travel times. Therefore, a key aspect to obtain statistically …

Abstract Electric Freight Vehicles (EFVs) are a promising and increasingly popular
alternative to conventional trucks in urban pickup/delivery operations. A key concerned …

The fundamental challenge of the origin-destination (OD) matrix estimation problem is that it
is severely under-determined. In this paper we propose a new data driven OD estimation …

This study focuses on dynamic origin–destination demand estimation problem on freeway
networks. Existing studies on this problem rely on high-coverage of traffic measurements …

The hourly traffic flows between various origin–destination (OD) pairs fluctuate by time of
day and day of the year. These multi-period OD demands are statistically correlated with one …

Calibrating dynamic traffic demand for stochastic traffic simulators is one of the big
challenges due to computational burden. This paper proposes a novel framework to …

Considering the intermittent nature of renewable energy, a storage system to reserve power
in off-peak hours and then to supply it during peak hours is necessary. However, if these …

Because traffic flow data has complex spatial dependence and temporal correlation, it is a
challenging problem for researchers in the field of Intelligent Transportation to accurately …

The traditional analysis of road safety is based on statistical methods that are applied to
crash databases to understand the significance of geometrical and traffic features on safety …