Registration Begins
19th october
Cruising Through Chaos: A Ride to the Rescue
Picture this: you're faced with the dreaded early morning lecture, mandatory attendance, and an unforgiving professor. The clock is your enemy as you wake up late, a mere 5 minutes before the class is set to begin. Panic sets in as you realize that there's no way you can make it on time just by strolling briskly. You desperately need a bicycle, an auto-rickshaw, or perhaps the Indeanta vehicle. But luck is not on your side today: there are no bicycles available, autos avoid your route to the Lecture hall, and the E-vehicles aren't a perfect match for the demand. Welcome to the Mobility Problem as we embark on a quest to devise a viable solution to precisely this conundrum.
The Mobility challenge revolves around optimizing the currently existing E-vehicle system and considering various logistics from the service provider's side.
Issues demanding an efficient e-transport system to be developed:
Inadequate availability of Transportation : Apart from a few hostels, the availability of transportation is a big issue; even in the case of availability, the demand for transportation far exceeds the supply.
Limited Operating Hours : The E-vehicles operate during fixed hours only, resulting in unavailability of transportation beyond these hours, with very few autos serving as the sole alternative.
Overcrowding : You're likely used to crowds and the rush in front of lecture halls as the clock strikes 12:30. The absence of accessible public transportation during these times leads to significant rush and overcrowding, especially when it rains, making such vehicles highly desirable.
Unoptimised routes : The current E-vehicle routes lack optimization, leading to unnecessary time wastage when seeking prompt transportation.
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