Traffic Flow Optimization
Published:
A real-world traffic management solution embedding advanced mathematical theories — linear algebra, calculus, and graph theory — into optimized C++ and JAX code to improve urban traffic flow for city planners and transportation engineers.
Key work: Graph-theoretic model of road network as a directed weighted graph · Variational formulation of signal timing as a constrained optimization problem · JAX-based gradient computation for differentiable traffic simulation · C++ implementation for real-time signal control · Benchmarks against fixed-cycle and actuated signal baselines
Stack: Python, JAX, C++, graph theory, optimization, traffic simulation