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once a bicyclist knows that she has been perceived by a nearby driver, she can have confidence that the driver will not make an endangering move to deliberately collide.
Ahahahahahahahahaaaa hahahahahahahahahhahaaaaaa hahahahahahhahaaaaa
Clearly never met an Audi, BMW, Merc, Volvo, Range Rover driver.
hippy-
Clearly never met an Audi, BMW, Merc, Volvo, Range Rover driver.
Don't confuse aggressive or non-cooperative motorists with unpredictable drivers. Its like with taxis.. You can typically predict how a taxi will (mis)behave and select a strategy. When you hear a car behind you starting to rev their motor you know that they'll try to pass-- at any cost-- to rush to be first at the red light. When you approach an intersection and you look for eye contract with the driver.. you assume that they might try to ignore your right of way and not yield but also that they don't want to get into an accident.. Part of defensive driving or cycling is about trying to estimate all the possible moves of all the traffic participants. Its built upon a number of learned behavioural models and value expectations. You examine and gauge each traffic participant as to their "nature". If you notice a car being pushy you select a different set of responses than when you notice that the car is being cautiously driven. When, for example, you see people steering with their body vesus their arms you can assume, for example, that they might take a curve like a small child in a bumpcar.. When you see a women in a Cayenne-- having observed many women in Cayennes-- you have a model of behavior..
Ultimately where this chain of arguments lead is to the need for dedicated self-driving roads, resp. lanes, where they are amongst themselves, can communicate with one another and as a swarm optimise their movements.
EdwardZ
Interesting article:
Self-Driving Cars, Predictability, and Law
Harry Surden* and Mary-Anne Williams**
http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2747491
Problematically, the movements of autonomous vehicles may be less predictable to the ordinary people who will share their physical environment — such as pedestrians — than the comparable movements of human-driven vehicles. Today, a great deal of physical harm that might otherwise occur is likely avoided through humanity’s collective ability to predict the movements of others people. In anticipating the behavior of others, we employ what psychological call a “theory of mind.” Theory of mind cognitive mechanisms that allow us to extrapolate from our own internal mental states in order to estimate what others are thinking or likely to do. These cognitive systems allow us to make instantaneous, unconscious judgments about the likely actions of people around us, and therefore, to keep ourselves safe in the driving context. However, the theory-of-mind mechanisms that allow us to accurately model the minds of other people and interpret their communicative signals of attention and intention will be challenged in the context of non-human, autonomous moving entities such as self-driving cars.
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For example, bicycle riders must determine whether or not they have been perceived by nearby automobile drivers. Otherwise, the rider is in a risky situation in which the driver could suddenly turn in front of the bicyclist and cut her off. However, once a bicyclist knows that she has been perceived by a nearby driver, she can have confidence that the driver will not make an endangering move to deliberately collide.