MESA MVP checklist (to be split up, added to project board, and eventually removed)

[nickolasclarke]

This is just stream-of-conciousness notes from our last meeting. I'll be using this to create issues and place them in the project kanban.

Story definition:

• Are we in the same ballpark of costs for EV vs ICE?
• Are we trying to minimize costs to move to EV?

Basic variables we'll want to track:

Run for EV buses

• Cost of electricity ($/kWh)
• Capacities of bus batteries (kWh)
• Efficiency of buses (miles/kWh)
• Cost of a bus ($)
• Cost of a charger station ($ - assumed to be able to handle charging several buses at once)
• Charging rate (kWh charged per time unit)

Run for ICE buses

• fuel costs
• compare against public records of transit operating costs

These should be defined in a yml/json file that can be read in.

• [x] TripInfo function Get your GTFS Data - Download this from http://transitfeeds.com/p/actv/630 or any other source Massage GTFS Data return RouteInfoModule

• [x] BaseClass RoutingService( #6) Provides Optimal routes and travel times between origin and destination

• [ ] Specialization ODMatrix:RoutingService Specialization

• [ ] Create Origin-Destination Matrix

Use GTFS data for cities Use for intracity buses

• [ ] Service NearestCharger RegisterCharger(charger)

• [ ] Charger Object How big are charegers? What are their capacities?

• [ ] Agent Object

• [ ] Dispatcher

• [ ] Initialization Read GTFS Build RouteInfoModule Pass RouteInfoModule to RoutingService Set up bus agents Set up charger agents Register RouteInfoModule with NearestCharger service Register chargers with NearestCharger service Add initial trips to PriorityQueue

while PriorityQueue is not empty: get Event from Queue Event has a car in it Call to Dispatcher do stuff with car Add Event(s) to queue

Main Loop

Trip queue Trip assigner Managing and dispatching agents Output results

[nickolasclarke]

@r-barnes I dont recall what the point of Specialization ODMatrix:RoutingService was on top of the normal routing service provided by RoutingKit

[nickolasclarke]

• Cost of electricity ($/kWh)
  • PG
• Capacities of bus batteries (kWh)
• Efficiency of buses (miles/kWh)
• Cost of a bus ($)
• Cost of a charger station ($ - assumed to be able to handle charging several buses at once)
• Charging rate (kWh charged per time unit)

Next steps:

1. Use block-ids to minimize trips
   • identify all block IDs
   • walk through the trip, until the bus runs out of power. make a note of where that happened.
   • either they are clustered, or they are not.
     • if clustered, throw a charger.
     • if not, spawn a bus
2. Synthetically generate block-ids