Traffic simulation is an effective tool for urban planners, traffic engineers, and researchers to study traffic. In particular, microscopic traffic simulation, which simulates individual vehicles’ ...
Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Gordon Scott has been an active investor and ...
Abstract: Smart intersections have the potential to improve road safety with sensing, communication, and edge computing technologies. Perception sensors installed at a smart intersection can monitor ...
This repository provides a reference implementation for distributed, partitioned SUMO simulations with dynamic load balancing. It scales city-wide traffic simulations across multiple hosts to reduce ...
Abstract: This paper proposes an autonomous driving framework for unsignalized intersections. The framework consists of two modules: vehicle state inference and vehicle motion planning. A network ...
Vehicle platooning, first studied as an application of Intelligent Transportation Systems (ITS), is increasingly gaining attention in recent years as autonomous driving and connected vehicle ...
The SS-MA-PPO project implements a simulation-supervised multi-agent reinforcement learning framework for traffic control. It focuses on training multiple reinforcement learning agents using the ...
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