Currently, for roof top rain water harvesting, people install water storage tanks individually per building/apartment which results in high cost for individuals/groups. No mechanism/application is available to find out where such installations are beneficial, which installations can share storage tanks and what would be the required capacity of these shared tanks. Given map and housing data, optimize the location of centralized tanks for rain-water harvesting.The following data should be sufficient to design and implement a model to solve the problem:
1. Estimating rainwater harvesting capacity:
a. Rainfall estimation: Historical data from rainfall gauges at different places in the target area.
b. Catchment area: Masterplan of the city to estimate the catchment area available, e.g open areas like rooftop, courtyard, etc.
2. Optimizing Water tank placement:
a. Water demand/Use capacity: Water supply data can be used to estimate the consumption of harvested rainwater for non-drinking purposes
b. Underground map: Underground map with stability study to identify locations where the shared tank can be built
The system should provide the following output from its analysis:
1. Plan for laying out the underground tanks with input and output points defined
2. Cost benefit analysis justifying the plan
3. Plan for distribution of build and maintenance cost of a tank for the parties involved
Public commute such as buses and metro don't have useful information. For example, if in-city buses had a system with information about the exact number of standing and sitting seats in the next metro or bus, then it would make using public transport very easy and amiable for citizens. Assuming sensor data for seating is available on each vehicle and the vehicles can transmit data between each other, devise an algorithm that can tell users which vehicle to take. Devise relevant analytics to help the authorities realize whether to increase the frequency/passenger capacity of bus/metro in real-time at certain stops could also be included in the system.
Inputs to the application:
- Static Input (doesn’t change frequently)
o Route names of DTC buses and their stoppage on that route
o Bus Make (Number of standing/sitting seats)
- Dynamic Input (changes real-time)
o For every stop – no. of passengers boarded and de-boarded (Can be inputted by the bus staff)
Outputs of the application:
Real-time information about the bus with its seat availability information (number of vacant sitting/standing seats). The application is expected to show the bus going on a static pre-defined route with number of standing/sitting seats.
- User information like their boarding point and destination can be inputted
- The number of boarding/deboarding passengers can also be inputted by beacons/RFID tags/thermal measure installed on the bus
- Destination info about each passenger boarding the bus
o so that a bus doesn’t have to stop at every bus stop and a user can determine if the bus will reach their destination in the shortest possible time
ROUTES: This table shows 2 of all the available routes in the city.
STOP 1 Kendriya Terminal YMCA STOP 1
STOP 2 North Avenue Gurudwara Bangla Shahib STOP 2
STOP 3 RML Hospital RML Hospital STOP 3
STOP 4 Gurudwara Bangla Shahib North Avenue STOP 4
STOP 5 YMCA Kendriya Terminal STOP 5
BUS MAKE: Following shows 2 types of all available buses
A -> 15 Standing Seats, 10 Sitting Seas
B -> 18 Standing Seats, 15 Sitting Seats
Based on the input done by the driver, every bus has a last stop & available seats.
Input will be number of passengers boarded and de-boarded
Boarded : 5
The User will input his/her pre-defined route in the app and his boarding point.
Based on location of all the buses which have crossed the last stop in that route, it will show the number available seats assuming that sitting seats are taken before the standing seats.
100UP Available Standing/Sitting Seats 100DOWN Available Standing/Sitting Seats
STOP 1 Kendriya Terminal 10 Standing, 2 Sitting YMCA 15 Standing, 10 Sitting
STOP 2 North Avenue 8 Standing, 2 Sitting Gurudwara Bangla Shahib 9 Standing, 7 Sitting
STOP 3 RML Hospital 9 Standing, 3 Sitting RML Hospital 13 Standing, 6 Sitting
STOP 4 Gurudwara Bangla Shahib 7 Standing, 5 Sitting North Avenue 10 Standing, 3 Sitting
STOP 5 YMCA 15 Standing, 10 Sitting Kendriya Terminal 18 Standing, 13 Sitting
Problem Statement Type
21st November , 2018
21st November , 2018
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Problem Statement Creater College Faculty SPOC Students Team Leader