Modeling Urban Flow
Using graph theory and discrete-event simulation to study traffic bottlenecks and adaptive signal timing.
- ROLE / AUTHORSHIP
- Model designer
- PROJECT STATUS
- Completed
- RECORD YEAR
- 2024 · Sample record
Problem & objective
Using graph theory and discrete-event simulation to study traffic bottlenecks and adaptive signal timing.
Methods & evaluation
Sample method: construct a four-intersection road graph, sample traffic demand, run discrete-event queue simulations, and compare constrained adaptive timing with fixed-cycle signals.
System architecture
- 01
Road-network graph
- 02
demand sampler
- 03
queue simulation
- 04
constrained signal optimization.
Results & findings
Sample simulation: median wait time decreased 18% against fixed-cycle timing on a synthetic four-intersection network.
Limitations & pending evidence
Results are illustrative and use a synthetic network. Real-world traffic calibration, repeated-seed uncertainty, and validation against observed traffic are pending.