Vellore traffic simulation links staggered sector schedules to lower modeled delays

A graph-theoretic traffic simulation for Vellore, Tamil Nadu, reported lower modeled end-to-end delays and shorter agent queues when sector-specific operating schedules were combined with Hamiltonian-inspired routing. The published abstract states that the modified scenario reduced end-to-end delay by 43.8–48.7% and agent queue count by 45.2–60.1%, compared with conventional operating hours across different active agent ratios. These are simulation results rather than measurements from an operational citywide trial.

The study represents Vellore’s road system as a graph, with intersections modeled as nodes and roadways as linking edges. Selected urban sectors—including public administration, retail, healthcare and education—are assigned specific time slots according to their operating schedules. A sector-level routing layer then produces a circulation sequence based on a Hamiltonian cycle over the modeled sectors and assigns feasible shortest-path routes across the physical road network to individual commuters.

Researchers compared two modeled scenarios. Scenario A used conventional operating hours and shortest-path routing. Scenario B combined modified, sector-specific timings with Hamiltonian Circuit optimization. Performance was evaluated using end-to-end delay and agent queue count, both of which were lower in Scenario B than in Scenario A over the active-agent ratios examined in the abstract. The results therefore describe the performance of the integrated temporal-spatial routing framework within the simulation model.

The available evidence is limited to the article abstract, highlights and study summary; it does not provide the full methods, model validation, underlying observations or details of the active-agent ratios. The research concerns a modeled traffic system for Vellore and does not establish that the approach has been implemented at city scale or produced the reported reductions in real traffic. The abstract characterizes the combined framework as promising and potentially workable, scalable and affordable, but those broader conclusions remain tied to the simulated setting described here.

Subject of Research: Graph-theoretic simulation of staggered sector schedules and Hamiltonian-inspired routing for urban traffic in Vellore.

Article Title: Graph theoretic simulation based approach for urban traffic optimization using Hamiltonian inspired routing and sector based time staggering in Vellore

Article References: S, P., & A, P. (2026). Graph theoretic simulation based approach for urban traffic optimization using Hamiltonian inspired routing and sector based time staggering in Vellore. Discover Sustainability. https://doi.org/10.1007/s43621-026-04962-4

Image Credits: AI Generated

DOI: 10.1007/s43621-026-04962-4

Keywords: Vellore, traffic simulation, graph theory, Hamiltonian routing, sector timing, shortest-path routing, end-to-end delay, agent queue count, Graph, theoretic, simulation, based