Simulation testing is critical for the development and optimization of connected and
autonomous vehicle (CAV) driving systems. Existing simulation tools for autonomous driving …

In recent years, the use of computer-based simulations in the transportation domain has
become increasingly important to analyze and test measures for Intelligent Transport System …

Scenario-based testing is already a well-known test approach to the automotive industry for
the Validation, Verification and Testing of Connected and Automated Vehicles. How to …

In this paper, we present an innovative, animated traffic simulation method that we designed
to feature an enhanced sense of reality and diversity of traffic flows. Instead of the typical one …

Simulating connected vehicles in realistic environments is a computationally expensive task,
particularly when large numbers of traffic participants are involved. To cope with exploding …

Microscopic traffic simulation is the most accurate tool for predictive analytics in urban
environments. However, the amount of workload (ie, cars simulated simultaneously) can be …

Road network traffic data has been widely studied by researchers and practitioners in
different areas such as urban planning, traffic prediction, and spatial-temporal databases …

In recent years, due to road congestion issues and environmental concerns, multimodal
transport has received an increased attention from policymakers. Fortunately, they can now …

Most of existing traffic simulation efforts focus on urban regions with a coarse two‐
dimensional representation; relatively few studies have been conducted to simulate realistic …

This article introduces an open source tool for simulating autonomous vehicles in complex,
high traffic, scenarios. The proposed approach consists on creating an hybrid simulation …