Skip to main content

Google Maps Queue Jumps.


Google Maps directs me to and from my client sites. I've saved the location of the client's car parks, when I start the app in the morning - it knows where I want to go. When I start it at the end of the day, Google knows where I want to go.

This is great! It guides me around traffic jams, adjusts when I miss a turn and even offers faster routes en-route as they become available.

But sometimes Google Maps does something wrong. I don't mean incorrect, like how it sometimes gets a street name wrong (typically in a rural area). I don't mean how its GPS fix might put me in a neighbouring street (10m to my left - when there are trees overhead).

I mean wrong - As in something unfair and socially unacceptable. An action, that if a person did it, would be frowned upon.

Example:

Let’s assume a road has a traffic jam, so instead of the cars doing around 60 mph, we are crawling at <10 mph.

In the middle of this traffic jam, the road has a junction, an example is shown here:

Click to enlarge.

Google Maps, using its algorithm/AI, directs me off at exit (A), but rather than finding an alternative route it directs back down on to the road at point (B).

Google Maps has queue-jumped. Google's decision was reasonable and met its goals. Goals, That I assume include reducing journey time (for me). It has bypassed approx 1/4 mile of queuing cars.

It’s an intriguing issue, for a number of reasons:
  •  In cultures where queues are not expected, it might be OK (it’s a clever optimisation!)
  •  Conversely, some cultures may consider it a bug.
  •  Could we even alter/educate the algorithm to reliably distinguish between some routes (short-cuts) and others (queue-jumps)?
  •  What else might the AI deem OK, that I would consider wrong?
  •  What are Google Maps goals? Are they all in my interest and safety?
  •  These seem very far from pass/fail scenarios

For example, What if Google noticed that users used google, YouTube or its adverts more after a certain route, than if they had taken another?

What if that advert-hungry route was slower? Or more dangerous? (E.g. people use google more after that route, as they need to get their car repaired.)


Are these issues being tested for? Are the right questions being asked?

Comments

Popular posts from this blog

What possible use could Gen AI be to me? (Part 1)

There’s a great scene in the Simpsons where the Monorail salesman comes to town and everyone (except Lisa of course) is quickly entranced by Monorail fever… He has an answer for every question and guess what? The Monorail will solve all the problems… somehow. The hype around Generative AI can seem a bit like that, and like Monorail-guy the sales-guy’s assure you Gen AI will solve all your problems - but can be pretty vague on the “how” part of the answer. So I’m going to provide a few short guides into how Generative (& other forms of AI) Artificial Intelligence can help you and your team. I’ll pitch the technical level differently for each one, and we’ll start with something fairly not technical: Custom Chatbots. ChatBots these days have evolved from the crude web sales tools of ten years ago, designed to hoover up leads for the sales team. They can now provide informative answers to questions based on documents or websites. If we take the most famous: Chat GPT 4. If we ignore the

Can Gen-AI understand Payments?

When it comes to rolling out updates to large complex banking systems, things can get messy quickly. Of course, the holy grail is to have each subsystem work well independently and to do some form of Pact or contract testing – reducing the complex and painful integration work. But nonetheless – at some point you are going to need to see if the dog and the pony can do their show together – and its generally better to do that in a way that doesn’t make millions of pounds of transactions fail – in a highly public manner, in production.  (This post is based on my recent lightning talk at  PyData London ) For the last few years, I’ve worked in the world of high value, real time and cross border payments, And one of the sticking points in bank [software] integration is message generation. A lot of time is spent dreaming up and creating those messages, then maintaining what you have just built. The world of payments runs on messages, these days they are often XML messages – and they can be pa

Is your ChatBot actually using your data?

 In 316 AD Emperor Constantine issued a new coin,  there's nothing too unique about that in itself. But this coin is significant due to its pagan/roman religious symbols. Why is this odd? Constantine had converted himself, and probably with little consultation -  his empire to Christianity, years before. Yet the coin shows the emperor and the (pagan) sun god Sol.  Looks Legit! While this seems out of place, to us (1700 years later), it's not entirely surprising. Constantine and his people had followed different, older gods for centuries. The people would have been raised and taught the old pagan stories, and when presented with a new narrative it's not surprising they borrowed from and felt comfortable with both. I've seen much the same behaviour with Large Language Models (LLMs) like ChatGPT. You can provide them with fresh new data, from your own documents, but what's to stop it from listening to its old training instead?  You could spend a lot of time collating,