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Showing posts with label advanced assisted driving. Show all posts
Showing posts with label advanced assisted driving. Show all posts

Sunday, June 08, 2025

Beyond Full Self-Driving: The Smarter, Faster Path to Safer Transit



Beyond Full Self-Driving: The Smarter, Faster Path to Safer Transit

Introduction

The race to Full Self-Driving (FSD) has become one of the most ambitious and elusive frontiers in AI and mobility. But what if the smartest way forward isn’t to leap into full autonomy—but to augment human drivers in structured systems like buses, trains, and last-mile EVs? Advanced Assisted Driving (AAD), when strategically deployed across electric public transport networks and integrated with unified ticketing, may not only be easier to achieve technically and politically—it could actually move cities toward smarter, safer, and more accessible transportation much faster than waiting for Level 5 autonomy.

The Problem with Full Self Driving (FSD)

FSD aims to eliminate the human from the driving loop entirely. While this is appealing in theory, it faces:

  • Edge-case complexity (weather, pedestrians, unpredictable road behaviors)

  • Regulatory uncertainty

  • Massive data and compute demands

  • Public trust and liability concerns

Most critically, FSD attempts to solve all problems at once—urban, rural, chaotic, structured. This universalism becomes its bottleneck.

AAD: A Smarter Interim Step

Advanced Assisted Driving doesn’t seek to replace the driver—it empowers them. In structured environments like electric buses and trains (which operate on predefined routes), or even electric last-mile cars (in low-speed urban zones), AAD can provide:

  • Collision avoidance

  • Lane discipline

  • Speed and braking automation

  • Fatigue monitoring and alertness support

  • Route guidance and schedule optimization

This “pilot + autopilot” model significantly boosts safety and efficiency—without needing to crack the hardest problems of FSD.

Why Public Transport Is the Ideal Sandbox

Unlike private vehicles, electric buses and trains operate in constrained and predictable environments:

  • Defined stops, lanes, and schedules

  • Centralized control and fleet management

  • Professional drivers trained to collaborate with assistive tech

Integrating AAD here is not only easier to test and scale, it sets a public-sector precedent for AI adoption that benefits society at large.

Electric Last-Mile Cars: The Missing Link

In dense cities, the last mile is often the slowest, least organized leg of a journey. Deploying electric last-mile vehicles (mini shuttles, pods, tuk-tuk-like EVs) with AAD makes urban mobility safer, smoother, and greener.

These vehicles can be:

  • Geo-fenced

  • Low-speed (under 30 km/h)

  • Easily routed via apps

Such constraints reduce the need for complex AI decision-making while still offering immense benefits in traffic management and user convenience.

The Power of One Unified Ticket

The final transformative piece is ticket integration. Imagine going from Point A to B using:

  • A metro or train for your main leg

  • An electric bus to get to your stop

  • A last-mile EV car to your doorstep

All with one app, one ticket, one price.

By linking physical mobility with digital unification, the system becomes:

  • Easier to use

  • Easier to plan

  • Easier to fund

  • Easier to optimize using data

This creates “intelligent intermodality”: where the system, not just the vehicle, is smart.

Why This Is a Better Near-Term Bet

Compared to FSD, this model:

  • Requires less radical regulatory change

  • Delivers real safety benefits now

  • Enables public-private collaboration

  • Creates sustainable urban mobility with net-zero goals

  • Builds public trust in AI transportation systems gradually

In short: AAD for structured electric transport is not just more achievable—it’s more impactful.

Conclusion

The dream of Full Self Driving may still take another decade—or more. But Advanced Assisted Driving for electric public and last-mile vehicles, linked by unified ticketing, is a future we can build today. It’s not only technologically practical but also aligned with urban planning, public safety, climate goals, and the immediate needs of millions.

Rather than chasing a moonshot, this is a skybridge—connecting where we are with where we need to go.


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Sunday, June 01, 2025

Why Smart Surface Public Transport Will Beat Full Self-Driving to the Future




Why Smart Surface Public Transport Will Beat Full Self-Driving to the Future

When tech visionary Vinod Khosla tweets about the promise of Full Self-Driving (FSD) cars, it’s easy to get swept up in the optimism. After all, FSD has been "just around the corner" for over a decade. Yet here we are—still cornered. In response to Khosla’s tweet, I offered a two-part reply that captures the central flaw in this line of thinking:

  1. Advanced Assisted Driving is within reach, but true FSD remains elusive—despite a decade of hype.

  2. Public smart electric buses are a far more viable, scalable path to a self-driving future.

Let’s break this down.

FSD: A Decade of Promises, Still Not Delivered

Tesla’s so-called “Full Self-Driving” has been in testing or "beta" since 2015. Billions of miles and countless edge-case scenarios later, it's still a high-end driver assist system—not autonomy. The fact that Tesla still requires human supervision for a feature called "Full Self-Driving" should be a red flag.

Compare this to the much-maligned case of Elizabeth Holmes. Theranos’ promise of digitized blood samples—while fundamentally sound in concept—took less time to not deliver. In other words, even a failed moonshot came to its natural conclusion faster than FSD’s slow-motion struggle toward autonomy.

The Case for Smart Public Electric Buses

If we genuinely want to move society toward a self-driving future, we need to think less about individual cars and more about shared infrastructure. Smart electric buses operating on pre-mapped, geofenced routes—such as Bus Rapid Transit (BRT) lanes—represent a far easier use case for autonomy.

Here’s why:

  • Fewer edge cases: A defined route means fewer unpredictable variables, such as complex intersections, pedestrians darting out, or unusual traffic patterns.

  • Infrastructure can assist AI: Buses can communicate with smart traffic lights, GPS beacons, and dedicated lanes—making autonomy easier, safer, and more reliable.

  • Higher impact per vehicle: A single autonomous bus can move dozens of people, easing congestion and carbon emissions faster than private FSD vehicles ever could.

  • Simpler regulatory path: Cities are more likely to greenlight controlled-use public vehicles than risk FSD cars navigating unpredictable urban environments without drivers.

  • Lower economic barrier: You don't need $80,000 and a software update. You need government commitment and a modest tech stack that already exists.

A Smarter Future Isn’t Private, It’s Public

If we’re serious about clean, smart, scalable mobility, we must shift focus from the car to the collective. FSD, as sold today, is a technological vanity project masquerading as a transportation solution. But smart surface public transport—electric buses with driver assist and geofencing—could start solving urban mobility this year, not in some perpetually deferred future.

In fact, it’s not that FSD tech can’t work—it’s that applying it first to personal vehicles is a backwards approach. Think of the aviation industry. Autopilot didn’t start with private jets—it began with commercial aircraft on clearly defined flight paths.

Final Word

Khosla is right to believe in the potential of self-driving tech. But the bet should be on public infrastructure, not private toys for the rich. The future of FSD is public, electric, surface-based, and already achievable—if only we shift our focus and will.

Let’s stop trying to make every car a spaceship and start making every bus a smart mover.




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