The sudden strike of Covid-19 has brought many Filipinos to the brink of unemployment with a huge portion of the workforce being affected by the pandemic. In contrast to this, the rise of e-commerce and online businesses are notable when the pandemic started since individuals cannot leave home and now began to rely on digital shopping to purchase goods, which in turn increased the demand for logistical services, thus increasing the problematic traffic issues The Philippines already faces. An idea was proposed to utilize the railways as a new medium for logistics to travel on, but there are no proper navigation algorithms to fit the train system. This paper introduces Project Eirin, a logistics algorithm that allows rail passengers to become part-time or full-time couriers that deliver goods across the rail lines of the Philippines. The paper focuses on the proposed algorithm that aims to provide a backbone for an idealized system of metro railway logistics within the current Philippine railway transits available to aid the flow of logistics congested in road traffic. An algorithm was formulated tailored specifically to fit a train line?s route with the necessary parameters like travel time, capacity management, and efficient package drop-offs, was simulated to show its planned functionality, and was compared with the A* pathfinding algorithm. Further study and development of Eirin is recommended alongside the development of a program that can incorporate the algorithm and be applied for live test runs in actual train transportation rides.

Traffic reduction

Logistics