TrafficSim using Unity ECS 2019.3

A simple tool to generate fake web browsing and mitigate tracking

Fast shortest path calculations for Rust

We have used Deep Reinforcement Learning and Advanced Computer Vision techniques to for the creation of Smart Traffic Signals for Indian Roads. We have created the scripts for using SUMO as our environment for deploying all our RL models.

Easy-to-build realistic roads in Unity. Foundation of any simcity game.

Containerised SUMO. Use sumo, sumo-gui and TraCI with Docker. 🐳 🚗

This repository documents MATLAB implementation of a dynamic user equilibrium solver, including a dynamic network loading sub-routine

Traffic generator for local analytics testing

Traffic Control Test Bed

Another AI toy project, of a traffic intersection controlled by a Reinforcement Learning AI agent to optimize traffic flow in an intersection of vehicles or pedestrians

Multiagent hybrid simulator of road traffic in Qt/C++ and OpenStreetMap.

A little traffic simulator webpage/application written in elm+node.js

Simple JavaScript based traffic simulation

A traffic simulation using the intelligent driver model and the MOBIL lane change model. Mirror of the original repository.

Python traffic simulation libarary based on Martin Treiber's Java applet from: http://www.traffic-simulation.de/. Implement IDM follower model and Lanechange model.

HERMES, a tool to ease simulation of road networks with different ATIS systems.

We propose a driver modeling process and its evaluation results of an intelligent autonomous driving policy, which is obtained through reinforcement learning techniques. Assuming a MDP decision making model, Q-learning method is applied to simple but descriptive state and action spaces, so that a policy is developed within limited computational load. The driver could perform reasonable maneuvers, like acceleration, deceleration or lane-changes, under usual traffic conditions on a multi-lane highway. A traffic simulator is also construed to evaluate a given policy in terms of collision rate, average travelling speed, and lane change times. Results show the policy gets well trained under reasonable time periods, where the driver acts interactively in the stochastic traffic environment, demonstrating low collision rate and obtaining higher travelling speed than the average of the environment. Sample traffic simulation videos are postedsit on YouTube.

Prototyping a traffic simulator for Cluj-Napoca using html5 canvas and a lot of maths and basic AI.

Traffic wave simulation

Traffic Simulator Interactive by ActionScript

Town growth simulator that creates road networks

Simple traffic simulation with the Nagel-Schreckenberg-Model

Simulation of Nagel and Schreckenberg's cellular automaton model for freeway traffic simulation

Explore and solve traffic problem via implementing a simulator for autonomous vehicles 🚙

Freeway Traffic Simulation using the Nagel–Schreckenberg cellular automaton model and Agent-Based-Modelling

We propose a driver modeling process of an intelligent autonomous driving policy, which is obtained through Q-learning.

A traffic simulation software based on SUMO that incorporates driver behavior.

Traffic simulator project. Technologies Programming at Complutense University of Madrid (UCM).