Autonomous trucking is harder than autonomous rideshare
Autonomous long‑haul trucking may be a tougher problem than self‑driving taxis, argue commenters, because heavy trucks need far longer stopping distances, must cope with hazardous freeway segments, and lack a safe “just stop here” fallback when something goes wrong. Many point out that current sensor ranges, connectivity limits for remote operators, and society’s expectation that commercial systems exceed the safest human drivers all raise the bar significantly. The thread also contrasts trucks with trains and “road trains,” debates whether slowing autonomous trucks is viable on already congested roads, and suggests intermediate models like platooning, human‑in‑the‑loop systems, or dedicated lanes as more realistic near‑term steps.
Stopping distance, sensing range, and truck physics
- Many comments focus on long stopping distances for loaded semis and limited sensor range, especially in bad weather and on grades.
- Some argue AVs can simply drive slower or run 24/7 to compensate; others say slower trucks would worsen congestion and accidents and be rejected by logistics managers.
- Suggestions include: more axles/wheels, smaller/lighter trucks, EV drivetrains for better braking, wheel‑slip sensing, convoys with “scout” vehicles or drones, and infrastructure that ensures safe shoulders.
- One critique: the article’s use of a 2.5s reaction time inflates human stopping distance; reply notes this is a design standard that includes perception and actuation, not just reflex.
Highway vs city difficulty
- Some readers think trucks on highways are still easier than urban AVs due to fewer dynamic agents; others side with the article that highway minimal‑risk behavior (can’t just stop in‑lane) makes it uniquely hard.
- City AV success (e.g. geofenced robotaxis) is seen as non‑transferable because they can safely stop when confused; a freeway truck cannot.
Economics, speed, and deployment scope
- Debate over whether modestly slower AV trucks remain economically viable; some note driver labor is a large but not dominant cost, yet 24/7 utilization plus electrification could be transformative.
- Many propose limited early deployments: easiest flat, straight corridors; night‑time runs; “truck‑only” lanes; hub‑and‑spoke with human last‑mile.
Humans in the loop and partial autonomy
- Popular ideas: platooning with a lead human truck; convoys supervised by a few remote operators; “autopilot+” where drivers sleep on easy segments.
- Skeptics argue remote takeover is constrained by connectivity, latency, and the time needed to gain situational awareness; AV must still reach a safe state alone.
Trains, smart roads, and infrastructure
- Recurring theme: much of what’s proposed (convoys, fixed routes, truck‑only lanes, heavy infrastructure) resembles rail; many argue expanding freight rail is more rational but politically hard.
- Others suggest “smart roads” (sensors, beacons, dedicated lanes) as a midway solution; critics note cost and permitting are major barriers.
Safety thresholds, liability, and public acceptance
- Strong sentiment that “better than average human” is an insufficient bar; society may demand performance comparable to the safest human drivers plus clear accountability.
- Concerns include piracy of driverless trucks, edge cases in extreme weather, and the risk that capitalism will push fleets to operate at the edge of safety without strong regulation.