Tag Archives: autonomous vehicles

Before Someone Signs Off on the Robots

Have you seen the new robotic parking at Gatwick? It looks quite cool.

It works like this: you drive up into a garage bay, get out, scan a code, take your luggage and wander off to get on a bus to the terminal. Meanwhile, as you bump along the perimeter roads on your way to Pret a Manger and a surly greeting at security, your car is being lifted by a robot and shuffled into a parking space “fully autonomously” and presumably without the clattering of doors into each other or a young lad with a vape doing power slides in a field.

It reminded me of another experience in innovation I recently revisited: Pod Parking at Heathrow.

Ten years or so ago I tried it on a business trip to Scotland. A pre-dawn drop-off in a largely empty car park (back then it was still newish and posh enough to feel business-only), followed by the novelty of a solo ride in a pod to the terminal.

Returning this year with my son on a ski trip, it was slightly less fun.

A busy car park hunting for a space. A long walk with bags to the station. Then the ignominy of sharing a pod with other people similarly bedecked with ski equipment and making inane small talk before setting off on a circuitous, stop-start loop towards the airport.

Notwithstanding the fact that I’m now in my late 40s, travelling with rather more family paraphernalia and rather less wide-eyed consultant enthusiasm for clever infrastructure, the whole thing instead felt like a technically neat attempt to solve the wrong problem.

But before I explain why, let’s return to Gatwick’s robots.

Apparently they’re constrained a little. A fact mentioned almost in passing in the voiceover of what I assume was a press video: there are limits on vehicle weight, wheel size and wheelbase.

Plenty of people wouldn’t think twice about that. I did.

The service is marketed as a premium solution and has a five-day minimum stay. So it seems reasonable to assume a fair proportion of customers will arrive in large, expensive family cars.

Let’s say you own an i7, a Volvo EX90 or perhaps you’ve ordered the Range Rover EV. None of those can use it.

Already this premium, cutting-edge parking solution can’t accommodate a fairly representative selection of premium, cutting-edge family cars. Edge cases, perhaps, but also edge cases sitting at the leading edge of a market that is getting heavier, longer and increasingly fond of enormous wheels. The 21-inch wheel restriction feels particularly egregious.

Of course, the robots can presumably be enhanced. But significant capital has already been sunk into the system. Does the machinery now keep pace with the cars, or do customers eventually discover that their apparently ordinary SUV has fallen outside the parameters of the futuristic car park?

In any event, I started wondering whether robotic parking is actually solving a consumer problem. Or, more accurately, whether it is solving the right consumer problem.

From Gatwick’s point of view it may make perfect sense. Cars can be packed closer together because people don’t need to open the doors. You need less circulation space. There may be fewer staff movements. Less risk of somebody clipping a wing mirror or rearranging the side of a Cayenne against a concrete pillar. Potentially you get substantially more parking capacity out of an extremely valuable piece of land. Those benefits are undeniable.

But you’ll note they are largely benefits to the airport and parking operator. The customer has a rather different problem.

They want to arrive, find where they need to go without circling three times, get kids and bags out, leave the car somewhere they trust is secure, and ultimately reach departures with the minimum possible faff.

Preferably, too, without standing in a bus shelter in horizontal sleet debating whether the matrix display’s ‘6 mins’ has in fact changed at all in ten minutes.

Seen that way, the robot is doing something very impressive several stages after the customer has stopped caring. Once I’ve walked away from the car, I don’t really mind how it gets parked. A robot can carry it above its head while bleeping like a jolly droid. My attention has moved on to the next thing: where is the bus, how long will it take, will there be space for the bags, and how long do I need to stand next to the pseudo-Love Island contestant in coordinated loungewear before I’m actually inside the terminal?

Which brings me back to Heathrow’s pods. The engineering proposition is, or at least was, immediately seductive. Small autonomous vehicles, ostensibly on demand, with a dedicated congestion-free route to the terminal. The PowerPoint similarly likely wrote itself. Judged narrowly as a transit system, it’s evidently clever.

But the judgement should be from the passenger’s experience. Here the journey begins not when the pod moves but when you stop your car: park. Extract luggage. Work out the nearest station. Walk in the rain. Wait. Board. Travel. Sometimes stop — “We will resume your journey shortly”. Get out. Walk again with luggage. Find the terminal entrance.

That is the system and, when closely observed, some fairly boring alternatives instead appear surprisingly competitive.

Put more bus stops alongside parking rows. Increase their visibility and directional signage. Cover the walking routes (maybe even with solar panels). Tell people exactly when the next bus will arrive. Run enough buses that nobody really needs to think about the timetable at all.

And make the bus itself good. Warm in February, properly air-conditioned in August. Comfortable seats. Proper luggage racks designed around what people actually take to airports rather than a grudging shelf above the wheel arch. A driver who says hello, helps someone with a heavy case and knows where they’re going. Give the thing a bit of design attention.

None of that is technologically remarkable, but I suspect the combined effect on the journey could be disproportionately positive.

You’re unlikely to find an architectural visualisation of a man standing happily beneath a bus shelter on the homepage of Dezeen. Or a breathless article about wayfinding signage in Monocle.

But it may produce a better experience.

Perhaps, too, there is another behavioural wrinkle. Five minutes of waiting for something you cannot quite predict can feel substantially worse than eight minutes of movement towards your destination. Walking, as many have observed, gives you a sense of progress and control.

Although luggage complicates the calculation.

A 400-metre walk without luggage can feel like useful progress. The same 400 metres dragging two cases, a ski bag and a slightly recalcitrant child across coarse tarmac is not quite the same behavioural proposition. At some point movement ceases to feel like autonomy and simply becomes work.

Which is why shaving two minutes from the vehicle journey may be almost worthless if the passenger has had to drag their luggage an extra 400 metres to reach it. A beautifully optimised autonomous transit system can quite easily lose to a diesel bus simply because the diesel bus stops adjacent to your car.

So often, sophisticated experience design goes slightly wrong along such lines. Organisations naturally optimise the things they can see, measure and control. In this case: vehicles per hectare, average transfer time, labour requirement, throughput, number of drivers, perhaps even CO₂. All sensible metrics.

People, rather inconveniently, experience the gaps between them. They experience the anxiety of where to go. The extra walk nobody included in the journey-time calculation. The toddler who needs a wee. The suitcase with a wobbly wheel. The bus that pulls away just as you approach the stop. Such things are difficult to measure, don’t align neatly to one system or department and so disappear from optimisation models altogether.

So when we end up with technically excellent things that somehow feel worse, I wonder if there is also an element of theatre at play.

Airports have always been preternaturally good environments for conspicuous modernity. The driverless pods, biometric gates, robots and baggage systems, vast digital screens. They are signals, often at a national identity level, of investment, progress and future-facing willy-waving.

A covered walkway, even with solar panels, is not that. Neither is a bus stop being moved 80 metres. Yet either could improve more journeys, more often, for less money.

None of which is to denigrate the robots too much. They’re far from pointless and if Gatwick can materially increase parking capacity without tearing up more green fields, robotic parking may prove to be quite the investment. Judge it on density, operating cost, reliability and land use and the argument may be very strong. But then call it what it is: clever parking infrastructure.

The more useful question is simply whose problem we’re actually solving. Sometimes installing a fleet of robots that lets you cram more cars onto the same patch of land genuinely does improve the customer experience. Sometimes the customer would get rather more from a bus stop 80 metres nearer their car, an accurate countdown and a warm bus with somewhere sensible to put the cases. The difficult part of experience strategy is having the confidence to work out which before someone signs off on the robots.

AI: I used ChatGPT to tidy up some grammar and that, dear reader, is all.

Tagged , , , , , , , , , , , , , , , , , , , , , , , ,

Rural Britain, Meet Level 5

I love driving, and when I’m out with my son – mostly around suburban Surrey and onto the A- and M- road network – we talk about what the future looks like with self-driving L4 and L5 cars. Will it make journeys quicker? Will we be safer, calmer, more efficient with the bots driving us around? What will the road network look like with enhanced and standardised signage, markings and adapted junctions. It’s nerdy but it’s fun to talk about this stuff and question how a lot of the almost sci-fi might work in practice.

But if you want to understand what L5 autonomy actually means. You can’t start on a motorway. You have to start on a Cornish lane that was ‘designed’ in the reign of Henry VIII by a (let’s assume) man who’s only measurement was ‘avoid straight lines’ and who’s only measurement system was a stick of some agreed length.

My go-to example is the run from a nice Roseland peninsula spot to a tiny fishing village. It’s stunning in the way Cornwall so often is: scenery that makes you consider leaving real life behind – and roads that immediately remind you why you can’t. The lanes are absurdly narrow, bordered by stone hedges that are unyielding fortifications, meeting another car or tractor here is less ‘driving’ than an improvised referendum on who’s reversing today and how much they value their paintwork, tyres and helmsmanship.

This is useful because the autonomy conversation still starts in the wrong places, with the wrong visuals. It starts with wide West Coast roads, clear lines, predictable junctions and a general sense that the built environment is a cooperative partner in the project of motion. In California, “self-driving looks like this” tends to mean something very rational: geometry, visibility, lanes you could land a small plane on and junctions laid out with acres of asphalt and a basic respect for human comprehension.

Naturally, Cornwall is not like this. Cornwall – and plenty of rural Britain – is a place where the road network seems to have been draped over the topography by monks.

The autonomy world has a dull phrase that explains how it expects the world to be: Operational Design Domain (ODD) – the conditions a system is designed to operate within. If you’re keen it’s SAE J3016. The phrase is clinically unsexy, which is part of its charm. It keeps the conversation out of the breathless nonsense that blooms around new technology.

It also implies something people in the industry – notably the people selling you cars – dislike admitting: autonomy is geographical. It exists only where the environment cooperates. And, dear reader, Cornwall does not cooperate, not due to budgets or intransigence – simply because of history.

To illustrate, let’s take a lane standoff: Two human drivers meet head-on and resolve it using social protocols that are not codified. There’s the micro-creep forward, a pause that signals “I’m thinking” or the eye contact that says “I know, this is ridiculous but I’m not reversing into a bramble hedge and a fence post for your Audi Q7”. There’s local knowledge about a passing place behind you that doesn’t look like one unless you’ve been raised on these lanes and have developed the spatial instincts of a maze rat. Then there’s a moral arithmetic too: you’re closer to the wider bit; you’re in the smaller car; you’ve got five people in the back; you look like you’re here for the week and have brought three paddleboards.

Now swap both of these cars for L5 ones and you hit the awkward truth: this route isn’t asking for better navigation, it’s asking for social negotiation. In this context it’s easy to say: the vehicles will simply communicate, agree a plan, one will reverse. The other will wait. Like a pair of Nordic adults having a calm, consensual conversation about responsibility.

Except you’re on a lane with hedges made of rock and 5G signal as powerful as a hamster’s yawn. Even if future communication standards are enhanced, a system that is predicated on connectivity in order to behave sanely in every lane it might find itself in, it’s not “drive anywhere”, it’s “drive where the network hasn’t gone for a lie-down in the sun”.

So assume the vehicles have no helpful network. They must now reason locally. Each one must remember where it has been: the last few hundred metres, where it can reverse, where the lane widens, where sightlines recede, where the verge turns into ‘wet grass hiding a half-metre ditch’. That rolling spatial memory must be table stakes for any serious autonomy.

But memory only gives you so many options. The trouble starts when both vehicles are doing the same thing at the same time, under uncertainty, with no shared authority. If both decide to be cautious (and there are good reasons legally and ethically why they would) you can get a stalemate that looks faintly ridiculous to the human passengers and is, in engineering terms, entirely rational. Two polite robots facing each other, neither wanting to be the first to commit to a manoeuvre that might be unsafe, both waiting for clarity that never arrives. It’s Britain but with fewer apologies and more deadlock.

Now, add the more realistic scenario in the nearer term: one vehicle is automated and the other is driven by a human, a 65-year-old local in a Twingo who’s reversed more cars than you’ve had hot dinners and is perfectly prepared to perform the full choreography of rural right-of-way: gesticulation, eyebrow work, and a hand wave that means “you go”, except it also means “I’m going,” and possibly “you London berk, what are you doing down here?”.

A machine can of course see a hand move. It can classify posture. It can assign probabilities to intent. None of that makes the gesture binding. It must rely only on certainties: where the car is, and what it’s actually doing. The moment you treat informal human signals as authoritative, you’re building a system that can be socially steered into unsafe decisions, which is an inviting prospect for every bored teenager and every slightly unhinged delivery driver in Britain.

So, the automated vehicle does what safety-critical systems do when faced with ambiguity: it becomes conservative. It waits. It yields. It declines to commit until the world becomes clearer and signals replace noise. That’s sensible. It’s also exactly how one ends up with a driverless taxi parked in a single-track lane while the rest of Cornwall ages around it.

There’s another detail we humans grasp instantly: the hidden queue. When you decide to reverse, you’re not only deciding for yourself. You’re making an anxious decision for whatever is behind you, unseen beyond the bend. This is why a simple standoff can turn into a fun village event. A human driver will check mirrors, listen for tyres on gravel, remember the vehicle that turned off behind them a few minutes back and estimate whether this reversal will trigger a chain reaction. A driverless vehicle can’t conjure knowledge of what’s behind the bend unless it can perceive it directly or receive it from sensors elsewhere. To solve this elegantly you need awareness beyond what any single vehicle has. At which point you’re edging toward traffic coordination rather than autonomy: the road as a managed system rather than a stage set for individual decision-making.

This isn’t just a Cornwall problem, rather obviously. Rural Sweden has winter roads with passing places and visibility that vanishes in a sneeze. Japan has mountain villages where lanes are carved by an ancient, determined stream. Rural Ireland is essentially Cornwall with different biscuits. The recurring theme is that it’s the environment that sets the terms. Places built around informal human negotiation are awkward customers for systems that require explicit rules and verifiable intent.

So what happens, what can I tell my son will happen? The answer is mundane. It’s a patchwork. Autonomy that operates confidently on roads that are legible and well-maintained, and then becomes limited, constrained or frankly unavailable in places where the geometry and social protocol defeats it. Sometimes there will be upgrades: defined passing places treated as an asset, clearer priority rules at pinch points, better delineation. Maybe even codified behaviour – a three-flash signal ‘I will yield’, as an example. Sometimes the answer will be operational: remote support when a vehicle gets stuck, or routing that avoids the lane because it cannot guarantee progress. Sometimes the answer will be more bluntly: this road requires a human driver.

None of this betrays the vision, it’s simply what happens when technology meets the world as it actually is: layered, improvised, nuanced and historically messy, full of little social contracts that nobody codified because they didn’t need to.

Cornwall in this sense does us a favour. It stops us pretending and evangelising that autonomy is simple a question of sensors and clever computing. It reminds us that driving is a cultural practice. Some parts of the network are (beautifully) engineered systems. Others are negotiated spaces with hedges and drivers with grudges. Level 5 will thrive where the world behaves like the former. Where it behaves like the latter we’ll either change the road, constrain the autonomy, or just accept that the medieval cart track remains one of the last places a human is still the best interface.

AI: I used AI for the tags, the excerpt, image generation, and a light sub-edit. The ideas, references, observations, and anecdotes are mine.

Tagged , , , , , , , , , , , , , ,