| BALANCING PEDESTRIAN AND VEHICULAR NEEDS IN URBAN ENVIRONMENTS: AN AGENT BASED SIGNAL TIMING STUDY |
||||||
/JRAP-2025(2ndIssue).jpg) |
Nida Batool Sheikh, Muhammad Mashhood Arif, Ahmad Adeel ORCID: 0009-0002-1434-0666 ORCID: 0000-0002-7881-3402 ORCID: 0000-0002-4147-1509 Article DOI: www.doi.org/10.53700/jrap3522025_1 ABSTRACT Urban environments are increasingly challenged by the need to accommodate rising travel demand while preserving walkability, safety, and public-realm quality. Aggregate signal-timing methods often miss how micro-scale behavior or geometry changes shape delay and movement. The study develops an agent-based model of a mixed-use downtown grid in which vehicles, pedestrians, and signal controllers act as autonomous agents. The framework enables planners to test signal retiming, driver-courtesy campaigns, and adaptive control before deployment. The study aims to assess how modest design and behavioural interventions influence performance across different travel modes and planning priorities. Results show a clear pedestrian–vehicle trade-off and an interior signal-cycle length that minimizes total system delay. Increasing driver courtesy yields large reductions in pedestrian delay with limited impacts on vehicles. The study concludes that agent-based modeling can align operational performance with urban-planning objectives and recommend embedding calibrated digital twins into planning workflows for evidence-based evaluation of zoning decisions, traffic policy, and street design. Finally, because the model is intentionally stylised, its outputs are best interpreted as context-dependent heuristics rather than site-specific prescriptions. For operational use, the framework can be lightly calibrated with GIS-derived network geometry and local volumes and then applied to compare scenarios, rather than to forecast absolute delay levels. Keywords: Agent-based modelling, signal timing, pedestrain delay, urban planning, traffic safety.
Volume 35 Issue 2 |
ISSN (P) 1728-7715 - ISSN (E) 2519-5050 Issue DOI: www.doi.org/10.53700/jrap3522025 |
|
Download |
||
 |
||||||
| ← Back to Journal's Contents | ||||||
|
||||||
