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Video location:  ChongQING CHINA, 2018 BY GRANT JOHNSON, TE

Autonomous Self-Driving Cars and Trucks and Transit

3/9/2018

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Often depicted in way over simplified conceptual drawings, the Autonomous Vehicle is consistently misunderstood.

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Autonomous Vehicles: In order for there to be compelling reason to incur the impact and expense of potentially retooling the entire vehicle industry, there would need to be compelling improvements to safety, capacity / efficiency, as well as the environment.  The autonomous vehicle has in principle, the capacity to improve all three, but the conceptual illustrations one can find today on the internet when searching for "autonomous vehicles" leave much to be desired... they generate more questions than answers in one's mind.  They are confusing.  Such as why does a picture show all this "connectivity and sensors" from each vehicle, but the traffic pattern on the freeway is identical to existing conditions?  Where is the benefit?  Capacity increase? Or why would one think that it would be a good idea to show vehicles criss-crossing past each other at right angles in an uncontrolled intersection, narrowly missing bumpers, as if that is a safe idea or design?  Logically, it's not.  A roundabout would be a much better idea, lower speeds, and significantly reduced conflict points (goes from 9 potential conflicts down to just 1).  In fact, it doesn't make any sense to introduce such a fallible and dangerous situation where serious injury can take place if technology fails in any way.  Also, what about bikes and pedestrians in such a situation? Its as if there were no serious thought put into these concepts when it comes to having Complete Streets.
UBER Autonomous car hits pedestrian.  news makes it look like autonomous is not safe
In my view, to be fair, a pedestrian was walking their bike across two lanes of a four lane boulevard that had a large median, in the dark, no crosswalks, becasue it was nowhere near an intersection opening (she was crossing a left turn bay first, an area where pedestrians are never expected.  Technically, the pedestrian walking her bike was jaywalking in a high speed area, in the dark.  In the video the bike is visible at a distance of about 60-100 feet (only three dashed stripes visible, 72 feet distance) .  However, for a 45 mph roadway, the Safe Stopping Sight Distance is 360 feet.  The car was traveling 40 mph, and a human would need 300 feet to stop in time. There is no way this was possible for a human driver to avoid even if they had seen her 200 feet back instead of 100.  By the time a human's foot lifts from the floor to press the brake pedal, at least one second has gone by.  They would have already hit this pedestrian before the vehicle even had a chance to slow down.   Thne formula for this is dPRT = 1.47 Vt (US Customary), which means there is at least 60 feet of travel distance at 40 mph before the driver would even PERCEIVE that they need to hit the brake. Then there is the time for the foot to lift from the floor to the pedal and hit the brake.  The pedestrian in the mean time, in this case, is hit, with or without an autonomous vehicle.
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The cyclist/pedestrian did not look at the approaching car, until the last second, it was as if they were oblivious to the dangers of crossing a street, a straight street, where it would be extremely easy to see oncoming headlights.   Who is at fault?  In my view, absolutely the pedestrian.  Because it was dark, this pedestrian was not readily visible with headlights.  Yes, the UBER car's lidar or radar most certainly should have picked this up in the dark as it does not need light to function, but it failed on that.  This is irrelevant as to why this accident happened, it would  have happened with a regular driver and a regular car.  A human would not have been able to react in time based on our most basic standards of road design.  This is a completely unfair story and writeup, painting some narrative that driverless cars are more dangerous than human drivers.  Not if this accident would have happened otherwise.  How often pedestrians in the path of moving vehicles at night, have been hit.  How dangerous it is for a pedestrian to cross a street in the dark, with oncoming traffic, and fail to yield the right of way, while remaining mostly invisible?  
what components are in an autonomous car ?
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Stopping Sight Distance = PERCEPTION TIME + REACTION TIME + BRAKING TIME
​Autonomous vehicles theoretically change this equation to: SuperFast PERCEPTION TIME + SuperFast REACTION TIME + BRAKING TIME where the braking time remains the same because it is a function of tires, speed, friction, etc., but the Perception Time is a fraction of what humans need to make a decision that they need to brake...theoretically, and the Reaction Time is greatly shortened because no human foot has to move from the floor to get above the pedal to push it.

Any Autonomous Vehicle solution MUST also take into consideration the entire body of transportation modes, especially pedestrians and bikes.  A pedestrian or cyclist will never be in the autonomous category, so these are mixed transportation use situations.

Good examples of extreme traffic situations can be found in China where density is consistently very high throughout urban cities.  n Chongqing China there are residential and business skyscrapers that go on and on for miles and miles, averaging 30 stories tall.  ​
Sidewalks are necessarily very wide, from 10 to 20 feet, to accommodate numerous pedestrians. The video to the right shows an area of the massive City of Chongqing where vehicle traffic has been completely separated from pedestrian traffic as a need.  There are so many pedestrians in the area of skyscrapers, that it was not practical to have these interact with vehicles via crosswalks controlled by signal.  There is not enough capacity. 

​The solution in this video was to literally BURY the traffic in a submerged roadway, and build a pedestrian square that extended numerous blocks and built on top of the submerged four lane road.  The pedestrians never hear the traffic below, and safety is greatly enhanced.  
THIS is a compelling reason to implement such an expensive change for the benefit of all, including drivers of vehicles.  90% of residents in Chongqing do NOT own or drive a car.   As one watches the video of regular drivers on these massive 9-lane roadways, one can think of what benefit would come to the system if all vehicles were autonomous.  In my view, safety would not only improve, but efficiency as well and capacity could be tripled as vehicles perfectly coordinate the merging, with tighter headways, and regulated speeds.

So What will an Autonomous Vehicle transportation system look like? What must it look like?

First of all, it must be safe for pedestrians.  In the China video above, the pedestrians are completely separated from the vehicle traffic, because it is not safe or practical to ever have these meet in such high numbers.  So there must be separation. There must be grade separation (or in the case of the China video above, a complete separation of vehicle traffic by tunnel if necessary). Grade separations are expensive, but to have a truly autonomous system and remove the human error factor that introduces accidents, often fatal accidents, a separation is needed.  If a car is going 60 mph autonomously, and a child runs in front of it, the car no matter how automated, cannot stop in time, and fatality may occur, traffic will come to standstill, etc.  We grade separate freeways, and now all roads with autonomous vehicles will need some method of separation in order to achieve the desired levels of safety, of capacity, of efficiency, even the environment and air quality.  Fences.  Ped and Bike bridges.  Even signal systems tied in to the autonomous computer system, coordinated and optimized for safety of peds and bikes.

​The future of traffic engineering will be to develop solutions that actually make sense, are safe and efficient, and which can take existing right-of way and turn it into a system where cars are separated from the pedestrians and bikes to improve safety, capacity, efficiency and air quality.
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  • Home
  • SERVICES
    • SERVICES
    • EXPERT WITNESS
    • EXPERIENCE
    • Complete Streets EVOLVED >
      • Complete Streets
    • PROJECTS >
      • TRAFFIC ENGINEERING >
        • SAFETY FIRST focus at PRISM Engineering
        • Autonomous Road Design
    • TRANSPORTATION PLANNING >
      • Autonomous Transportation Planning
    • HSR Construction Inspection Experience
  • Contact
    • About
  • TRAFFIC FACTS
    • INTERNATIONAL TRAFFIC FACTS
    • CALIFORNIA HIGH SPEED RAIL TRAIN TO NOWHERE?
    • SAFETY FIRST Examples
    • PED DANGERS: Death by Subway and Death by UBER
    • Modern Roundabout Examples by PRISM Engineering
    • Death by NYC Subway: PED DANGERS
    • AUTONOMOUS VEHICLES in Traffic >
      • AUTONOMOUS CAR DISRUPTION
      • Autonomous UBER Fatal Accident
    • How About That BIKE COMMUTE?
    • NEWS
  • CHINA TRAFFIC 2018
    • CHINA TRAFFIC 2018
    • HSR High Speed Rail
    • CHINA BLOG
  • STUDIES
    • Watsonville CEIBA School Traffic and Safety Investigation
    • Pasadena 253 S Los Robles v2