“The future ain’t what it used to be.” Yogi Berra
We are in the midst of a massive revolution that will dramatically transform ground transportation. It is anticipated that autonomous vehicles (or driver-less cars) will be commercially available by 2020, if not sooner. By the time DOLRT is completed, technological advances in personal transportation alternatives will render DOLRT obsolete.
If you doubt the accelerating adoption of new technology, it is worth to pause for a moment and consider that the iPhone was introduced in June 2007 and now is a ubiquitous device that has fundamentally transformed entire industries. The mass adoption of new technologies continues to accelerate. One recent estimate suggests that the typical luxury sedan now contains over 100 MB of binary code spread across 50–70 independent computers.
An analysis of the history of technology shows that technological change is exponential,
contrary to the common-sense “intuitive linear” view.
So we won’t experience 100 years of progress in the 21st century
— it will be more like 20,000 years of progress (at today’s rate).
SOURCE: The Law of Accelerating Returns
Envision a company like Uber or Lyft using self-driving cars and a mobile app to provide point-to-point transportation. So instead of your going to the transportation system (DOLRT station), the transportation system (Uber) comes to you! Just use your mobile app, select your destination, schedule your pick-up time and you will be taken from your front door directly (or even carpooling) to your destination. This would help eliminate the waste of unnecessary side trips, parking, platooned with coordinated traffic signals.
In addition, autonomous vehicles will greatly enhance mobility for transit dependent populations that may be disabled, too young or too old. For example, in the US there are approximately 36 million people with disabilities. Given the mobility and autonomy of this new technology, this will improve utilization of assets like vehicles, roadways and parking lots to further reduce the cost of these services by providing better efficiency.
U.S. transportation chief visits Google to unveil 30-year plan
“We’ve got to look at our own regulatory framework … to make sure we’re being as nimble and flexible and adaptive as we can be. … That’s what the future is demanding,” Foxx said.
Foxx and Schmidt took a quick ride in the tiny electric-powered pod that dropped them off
at an entrance to the corporate campus. It then drove away on its own.
“This is awesome, this is cool,” Foxx remarked as Schmidt and Chris Urmson,
the head of Google’s self-driving car project, showed him how it worked.
Autonomous vehicles will be a disruptive innovation with major implications for society. requiring policy makers to address many unresolved questions about their effects. One fundamental question is about their effect on travel behavior. It will be easier to share cars and that this will thus discourage outright ownership and decrease total usage, and make cars more efficient forms of transportation in relation to the present situation. Autonomous vehicles may reduce public transit travel demand, leading to reduced service.
Think that’s unlikely? Many companies are investing heavily in this area and it will have a massive impact on how we move people (and things). Several companies including Mercedes (Garvin, 2014), Audi (Drew, 2013) , BMW (Stephen, 2013), Google (Soct, 2013), and Nissan (White, 2013) have already announced that they will have partially autonomous vehicles (Level 3) ready in the next 5-6 years including Audi. Baidu, BMW, Ford, Google, LeTV, Mercedes, Nissan, Tesla, Uber
The avionics system in the F-22 Raptor, the current U.S. Air Force frontline jet fighter, consists of about 1.7 million lines of software code. The F-35 Joint Strike Fighter, scheduled to become operational in 2010, will require about 5.7 million lines of code to operate its onboard systems. And Boeing’s new 787 Dreamliner, scheduled to be delivered to customers in 2010, requires about 6.5 million lines of software code to operate its avionics and onboard support systems.
These are impressive amounts of software, yet if you bought a premium-class automobile recently, ”it probably contains close to 100 million lines of software code,” says Manfred Broy, a professor of informatics at Technical University, Munich, and a leading expert on software in cars. All that software executes on 70 to 100 microprocessor-based electronic control units (ECUs) networked throughout the body of your car.
SOURCE: This Car Runs on Code
Disruptive innovation in terms of low-cost and high-quality can shape the market even before the launch. One such example is the technology developed by a 19-year-old Romanian high-school student, Ionut Budisteanu, who created a camera and radar system for autonomous cars that costs a fraction (10%) of the cost for the existing solutions.
What is an Autonomous Vehicle?
In the United States, the National Highway Traffic Safety Administration (NHTSA) has proposed a formal classification system:
- Level 0: The driver completely controls the vehicle at all times.
- Level 1: Individual vehicle controls are automated, such as electronic stability control or automatic braking.
- Level 2: At least two controls can be automated in unison, such as adaptive cruise control in combination with lane keeping. Many of these features are available in cars today.
- Level 3: The driver can fully cede control of all safety-critical functions in certain conditions. The car senses when conditions require the driver to retake control and provides a “sufficiently comfortable transition time” for the driver to do so.
- Level 4: The vehicle performs all safety-critical functions for the entire trip, with the driver not expected to control the vehicle at any time. As this vehicle would control all functions from start to stop, including all parking functions, it could include unoccupied cars.
An increase in the use of autonomous cars would:
- Increased roadway capacity and reduced traffic congestion due to reduced need for safety gaps and the ability to better manage traffic flow.
- Reduce total number of cars by increased car-sharing, since an autonomous car can drop off a passenger at one location and go to a different location to pick up another. Also see Uber perpetual rides.
- Higher speed limit for autonomous cars.
- Greater efficiency with coordinate platooning using vehicle-to-vehicle and vehicle to infrastructure communications allowing for drafting, better mileage efficiency, faster transit times and coordinated traffic signaling.
- Alleviation of parking scarcity, as cars could drop off passengers, park far away where space is not scarce, and return as needed to pick up passengers.
- Reduction of physical space required for vehicle parking.
- Elimination of redundant passengers – the robotic car could drive unoccupied to wherever it is required, such as to pick up passengers or to go in for maintenance. This would be especially relevant to trucks, taxis and car-sharing services.
- Fewer traffic collisions, since unlike a human driver with limited situational awareness an autonomous car can continuously monitor a broad range of sensors (e.g. visible and infrared light, acoustic incl. ultrasound) both passive and active (LIDAR, RADAR) with a 360° field of view and thus more quickly determine a safe reaction to a potential hazard, and initiate the reaction faster than a human driver.
- Avoid traffic collisions caused by human driver errors such as tail gating, rubbernecking and other forms of distracted or aggressive driving.
- Relief of vehicle occupants from driving and navigation chores.
- Removal of constraints on occupants’ state – in an autonomous car, it would not matter if the occupants were minors, elderly, disabled, unlicensed, blind, distracted, intoxicated, or otherwise impaired.
- Reduction in the need for traffic police and premium on vehicle insurance.
- Reduction of physical road signage – autonomous cars could receive necessary communication electronically (although physical signs may still be required for any human drivers).
- Smoother ride.
- Reduction in car theft, due to the vehicle’s increased awareness.
- Removal of the steering wheel and remaining driver interface saves cabin space and allows a cabin design where no occupant needs to sit in a forward facing position
Individual vehicles may also benefit from information obtained from other vehicles in the vicinity, especially information relating to traffic congestion and safety hazards. Vehicular communication systems use vehicles and roadside units as the communicating nodes in a peer-to-peer network, providing each other with information. As a cooperative approach, vehicular communication systems can allow all cooperating vehicles to be more effective and increase efficiency of our existing roadway infrastructure thereby dramatically reducing traffic congestion. According to a 2010 study by the National Highway Traffic Safety Administration, vehicular communication systems could help avoid up to 79% of all traffic accidents.
In 2012, computer scientists at the University of Texas in Austin began developing smart intersections designed for autonomous cars. The intersections will have no traffic lights and no stop signs, instead using computer programs that will communicate directly with each car on the road.
Congestion and traffic operations can be reduced using autonomous vehicle through the use of sensors that can sense traffic flows by monitoring vehicle braking and acceleration through V2V monitoring. V2I monitoring can also be used to improve flow and safety in intersections and high-problem areas. These systems will utilize information from other vehicles, smart traffic systems and other forms of smart infrastructure, allowing for a much higher throughput of traffic and further reducing the risk of accidents through the use of predictive trajectory modeling.