In the Philippines, Light Rail Transit (LRT) 1 is one of the most used public mass rapid transports by Filipino commuters in going to their respective destinations in Metro Manila. However, conditions of the trains have been deteriorating over the past years resulting to insufficient numbers of trains to meet the commuter demands during peak hours causing irate passengers, delays in train arrival and uncomfortably crowded stations and trains. Currently, LRT1 implements Passenger Limit Per Platform (PLPP) to regulate load capacity at the station platforms, prevent overloading of trains and congestion at the paid area. But the said scheme is being done manually which is tedious to staff and is prone to error. Thus, this study presents the integration of embedded system and different software applications to manage the crowd of all LRT1 stations platforms and trains intelligently. A Simulation software was developed to populate data to different stations that are relevant during operations in the absence of the station prototype. Integration and acceptance tests showed that all components of the system are functioning accurately according to the predetermined design specifications. The developed system proves to be functionally acceptable in terms of suitability and accuracy, and highly functional in terms of security. Thus, the overall system is functionally acceptable as perceived by the respondents as manifested by the mean rating of 3.28.
Smart Crowd Control Management System For Light Rail Transit (LRT) 1
2019-12-01
548435 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Artificial Intelligence Aided Crowd Analytics in Rail Transit Station
Transportation Research Record | 2023
|SLUB | 1994
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