I will do vehicle counting and adaptive traffic logic in sumo
I Build Smart Tech and Design Stunning Slides
Level 1
Has met certain performance criteria and shows strong potential in the marketplace.
About this Gig
Are you struggling to implement complex traffic logic in SUMO?
Welcome! I am Sara, an Embedded Systems Engineer (M.Sc.) specializing in Intelligent Transportation Systems (ITS). I bridge the gap between theoretical traffic algorithms and working SUMO (Simulation of Urban MObility) simulations.
I specialize in using Python and TraCI to bypass standard fixed-time traffic lights and implement Real-Time Adaptive Control based on live vehicle counting and density data.
My Services Include:
- SUMO Map Creation: Converting OpenStreetMap (OSM) data into functional SUMO networks (.net.xml) with custom routes.
- TraCI Co-Simulation: Writing Python scripts to control traffic lights dynamically based on real-time simulation data.
- Adaptive Logic Implementation: Coding algorithms (Machine Learning/RL) that adjust light duration based on waiting time or queue length.
- Data Extraction: Generating graphs for vehicle throughput, waiting times, and emissions.
Why This Gig?
- Algorithm Expert: I don't just run the sim; I code the logic (C++/Python).
- Visual Analysis: I provide clean code and data visualization for your report or thesis.
- Master's Level Quality: Professional engineering standards guaranteed.
My Portfolio
FAQ
Do I need to provide the map?
You can simply give me the Google Maps location or coordinates of the intersection you want to simulate. I will import it into SUMO using OpenStreetMap.
Can you implement Reinforcement Learning (RL) agents?
Yes, I can use Python libraries (like PyTorch or TensorFlow) connected via TraCI to train an agent to control the lights. This falls under the Premium package due to complexity.
What deliverables do I get?
You will receive the full project folder (configuration files, Python scripts, network files) so you can run the simulation on your own machine.
