Sensors embedded solutions with inbuilt characteristic of artificial intelligence’s to solve the problem of distributing crowds more evenly (especially during peak periods) along trains and platform.
End-to-End incentivized and trust-enabled participatory sensing framework optimizing sensor network performance, based on integrated and interactive visualization platform
The app’s role is to find the least crowded train carriage for users and to help them, in the case of connections, to reduce their walking itinerary on platform & best use of foot over bridge connecting the platform on rail network.
Assign a carriage to each user: before arriving at a station where a user is standing and waiting for a train, the user is informed of the carriage with the least travelers. Thus, the user can walk to the area where he will get into the assigned train coach. Moreover, on a stormy or rainy day, a user can be notified about when he/she should leave the office or home to synchronize both train and passenger arrival at the platform.
Improve comfort outside the train to enhance the travel experience (fluidity of platform traffic): after receiving the assigned coach number, the passenger swiftly positions himself in front of the train coach according to the station’s guidance marks. For travelers with connecting journeys, choosing the wrong train coach can lead to congestion on platforms.
Imagining Passengers: A got into the carriage located at the head end of a train and Passenger B got into one located at the opposite end. However, what if the nearest connection itinerary was from the tail end of the train for Passenger A and the opposite end for Passenger B? Those two passengers would probably cross on the platform, which could cause congestion.
Advising passengers / travelers: Data gathered from rail network traffic, it can be possible to advise people taking a train in a specific time range.
People interact live: Users can report a problem occurring on either the train or the whole rail network.
The system assumes that sensors along platforms & trains count & estimate the crowd density and display this information to commuters display system.
When Commuters tap in using application, it recommends a carriage based on crowd density around platform exits at the destination and carriage density.