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Showing posts from April, 2023

PyTorch Code for Simple Neural Networks for MNIST Dataset

SUMO Emission of Vehicles | VANETs

Emission of Gases by Vehicles using SUMO In this post, we will be discussing how floating cars can emit gases namely  Carbon Monoxide (CO) Carbon Dioxide (CO2) Hydro Carbons (HC) Particle Matter (PMx) Nitrous Oxide (NOx) SUMO generates this emission of gases based on the EU4 norms. How to capture these gases in our simulation?  The following video contains complete information Prerequisites 1. SUMO to be installed in Ubuntu  ( SUMO installation ) 2. Python3 to be installed 3. Knowledge of XML files The following is the image of the road design I have created,  there are a totally of 6 junctions ( 0 to 5) and two edges from one junction to another intersection (each edge has two lanes). All the junctions are priority junctions except 2 and 5. These junctions are traffic light junctions. Custom road design in SUMO We are going to design a custom road.  In our machine, I will store all the files in a folder called  /home/pradeepkumar/customroad Step 1: Creation of a node file that conta