A B C D 1 hour 45 min. 45 min. 45 min. 45 min. $20 $40 x 1 $20 x 1 $? x 6 $? x 7 [ 2pm ] [ 10am, 1pm ] [ 12pm ] [ 11am, 11:15am ] $125.50 From A To B On Thu. Dep. bet. 10am and 1pm Path Provider Price Direct --- --- Via C --- --- Via D --- --- Enter new bid Enter new bid From A to B On Thursday. Arrival Time 2:00pm Departure between 10:00am and 1:00pm Bid $20 Save Enter new bid From A to C On Thursday. Arrival Time 12:00pm Departure between 11:00am and 11:15am Bid $40 Save

Bid-N-Go

Mass transit reservation software

How it works

(Hit space-bar, arrow-right or swipe)

(Hit F to go full page, esc to browser size)

How it works:

Say we have a network of four cities with different travel times between each ones, as schematised on the graph below:

You are traveller 1 ...

  • You need to travel from A to B next Thursday.
  • You need to be in B at 2:00 pm at the latest.
  • You can leave up to three hours earlier than necessary.
  • You think that $20 would be a reasonable fare for this journey.
  • You want to hold this offer until Wednesday
    at noon.

You are traveller 1 ...

  • There is currently no ongoing offer from A to B for this departure time range, so ...
  • ... you key-in your bid

Meanwhile, there is traveller 2 ...

  • Who also travel Thursday, but from A to C
  • He needs to be in C at 12:00pm
  • His time schedule is stricter: he doesn't want to start his journey more than 1/4 hour earlier than necessary
  • In order to meet this stricter requirement, he is ready to bid up to $40 for this journey.
  • He also keeps his offer valid until Wednesday morning.

Meanwhile, there is traveller 2 ...

  • Then, he also keys in his plan and bid.

On the other side, here is provider 1 ...

  • She owns a minivan of 8 passengers capacity.
  • She plans to be in A Thursday morning
  • The system informs her of a potential deal of $60 with 2 passengers from A to B via C if she leaves from A between 11:00 am and 11:15 am

For provider 1 ...

  • The potential income of $60 is slightly below her cost
  • but until the departure time, she could sell the six remaining seats from A to C...
  • .. and/or the 7 remaining seats from C to B.
  • However, Provider 1 does
    not accept the contract yet:
    she needs a reliable estimate
    of her income before deciding.

Provider 1 income estimate

  • How many more travellers will jump in? How much will they pay?
  • Based on historical and contextual data, the system can estimate what is the optimal fare for this time frame and for each segment...
  • ...and inform Provider 1 of her total income estimate.

Providers Demands Listing

So, here is how the global state of demand appear on Provider 1's dispatch terminal

Depart Time Income min Expected Route
--- --- --- ---
--- --- --- ---
[11:00 - 11:15] $60 $125.50 A - C - B
--- --- --- ---

The same state of demand appears differently on the screens of other registered providers according to their seat capacity.

Let's say Provider 1 grabs the route and choose 11:10 as departure time ...

Provider 1 confirms departure at 11:10am

  • At this moment, initial bidders receive a message confirming their seat and departure time and the fare is taken from their credit.
  • Then, other passengers can join in at the fare decided by Provider 1 (and suggested by the system). Here is how their search for A - B ride appears: telephone portable

Provider 1 confirms departure at 11:10am

  • Other providers' terminal are changed accordingly. This ride offer disappears from all demand listing, until new passengers show up for the same departure time and destination and Provider 1 is filled-up.
  • Any passenger, either original bidders or late comers, can list their place to sell at their chosen price if they need to change their plans.

End

Any comments? Suggestions?

(Return to main page)