A comprehensive literature review reveals that there exist lots of ambiguities, confusion and
even contradictions in setting a car-following calibration problem. In particular, confusion …

Urged by a close future perspective of a traffic flow made of a mix of human-driven vehicles
and connected, automated vehicles (CAVs), research has recently focused at making the …

This paper shows that the heterogeneity of drivers' and vehicles characteristics makes
platoons, on average, more string-unstable. However, the string instability degree of …

This paper investigates the impact of vehicular trajectory completeness on car-following (CF)
model calibration and validation. Synthetic data with different levels of trajectory …

This paper shows how traffic heterogeneity, and the way it is encoded into a model,
drastically affects a model ability to reproduce observed traffic. Being heterogeneity a major …

This paper proves that in traffic flow model calibration and validation the cumulative sum of a
variable has to be preferred to the variable itself as a measure of performance. As shown …

Vehicular trajectories are widely used for car-following (CF) model calibration and
validation, as they embody characteristics of individual driving behaviour (each trajectory …

Urbanization is accelerating at a high pace. This places new and critical issues on the
transition towards smarter, efficient, livable as well as economically, socially and …

This paper presents an improved Intelligent Driving Model (Sigmoid-IDM) to address the
issues of excessive acceleration in traffic oscillation and following failure in free flow. The …

Microsimulation models help agencies obtain robust estimates of project benefits and spend
their resources effectively. The realism of these models depends on the quality of input data …