… high-quality trajectory data under mixed traffic conditions, involving different vehicle categories
… After, developing this high-resolution trajectory data, some of the driving patterns are …

… impacts of CAVs on human-driven vehicles (HVs). This paper aims to quantify such impacts
by studying the high-resolution vehicle trajectory data that are obtained from microscopic …

… , traffic oscillations, … trajectory data from mixed traffic and for congested conditions. This
paper presents a deep learning-based framework to extract vehicle trajectories in mixed traffic …

… for car-following studies from trajectory datasets were not empirically or theoretically … in
mixed traffic. To fill these gaps, this paper proposes a novel use of vehicle trajectory data to …

… ), to identify probe vehicle trajectories in the mixed traffic corridor. The proposed algorithms
… evaluated based on the probe vehicle data collected at two mixed corridors on Shanghai’s …

… traffic systems, few studies investigate all three aspects holistically, particularly in the mixed
traffic … a DM-based CAV trajectory optimization for mixed traffic considering travel time, fuel …

… behavior of vehicles under mixed traffic conditions. … of vehicles in mixed traffic conditions
using vehicular trajectory data. For that purpose, time-space plots are developed for vehicles on …

… the mixed traffic environment. Besides, we summarize two types of studies … mixed traffic
control at intersections with CAV-dedicated facilities: 1) traffic signal timing and vehicle trajectory …

… overall traffic … trajectories along an arterial under a mixed traffic environment. A 2-stage
optimization model is proposed to cooperatively optimize both longitudinal and lateral trajectories …

… mixed traffic trajectory data collected on an urban arterial road in Chennai city, India. The
collected dataset includes 3005 vehicle trajectories … an open access mixed traffic trajectory data …