Enhancing Sustainable Mobility: Lane Change Strategies for Efficient Traffic Flow at Stationary Bottlenecks

The 21st century witnesses a surge in global population, leading to increased road traffic. This study focuses on understanding factors impacting time delays at road bottlenecks. Data from Peshawar, Pakistan, regarding density, speed, and delay patterns in peak traffic were collected. A lane change model examines delay-causing parameters, including density, speed, queue length, and pedestrians. Utilizing Camlytics software, peak period entry/exit times were compared to ideal and off-peak scenarios. Higher destination route density raises delays and lowers speed. This research offers insights into road bottleneck delays. This study aimed to investigate and classify the key factors contributing to time delays at stationary bottlenecks on roads. The research collected data on density, speed, and delay patterns during morning and afternoon peak traffic periods in Peshawar city. The future is focused on embracing technology, data-driven regulations, and cooperative efforts for long-term fixes.