Robotaxi
Version 3.0
Saturday, May 13th
1 pm
Coming soon new robo-taxi service and business opportunities. Innovators and early adopters will lead the way to autonomous robotaxing.
It’s going to take two key elements for pure robo-taxis to happen: the first is the technology within the vehicle to operate autonomously, the second is regulatory allowing vehicles to operate autonomously on public road.
Autonomous vehicle technology using artificial intelligence (AI) is coming soon.
Regulatory enabling autonomously operating vehicles on public roads in the United States and activity world has had limited activity towards approval.
Ground transportation utilizing robo-taxis method has tremendous opportunity for transporting people and products
Driverless vehicles like many years ago horseless carriage. Transportation methods have been changing for decades. Normally change starts out with pessimism and reluctantcy to change. Then innovators and early adopters pave the way for change. Autonomous vehicles will follow a similar path as horseless carriage and other transportation changes occurred.
Size & scope market
The size and scope of the robotaxi! market is potentially significant. Trillions of dollars.
Electric vehicles
Advanced electric vehicle technology is ideal for robo taxi.
Robo-taxis Fleet’s
Individuals, small businesses and other will have robo taxi fleet’s. Currently, some accident mandatory reporting begins once vehicle fleet is more than 25 vehicles.
Individuals and small businesses are most likely to have between 1 and 24 vehicles in private fleet.
Passive income
It’s potentially possible that individuals can generate passive income with the ownership of a robotaxi fleet.
evStation’s
It’s planned that infrastructure of evStation’s will be developed enabling charging electric vehicles. evStation owners and operators can easily add a fleet of robo-taxis and support others robo-taxis fleet’s
evStation’s provide necessary services for vehicle charging, cleaning and detailing.
Communication technologies
Advanced communication technology including global positioning satellite system (GPSS) and low-profile antenna’s for advanced satellite global communications are becoming readily. available, efficient and cost effective.
Mobility
Increasing mobility for individuals will significantly help make it better world. Education is beneficial for mankind providing efficient cost effective round-trip access to education, is beneficial. Individual with disability including blindness having increased access to ground transportation increases her mobility and is extremely beneficial to humanity.
Pre-step to robot taxi
Potential pre-step to pure robo-taxis service, can be with human drivers. Meeting the current legal requirements for humans to be operating the vehicle or able to take over operating a vehicle if/when Advanced Driving systems (ADS) require, disengaged: autopilot or advanced self-driving systems.
Driver license individuals make money being driven-around as back-up vehicle driver. Back-up driver to the autonomous technology systems.
New Worthiness
Innovative robo texting offerings present significant news worthiness. Endless social media content that’s compelling will be created. Multimedia real-time video is possible. GoPro cameras link to the internet provide excellent opportunities for compelling social media content.
Vehicle mounted exterior cameras present a real-time view of ground transportation traveling. Imagine: sunrise and sunset images live feed from vehicle. Entering and departing destinations like Las Vegas with all the lights capture and shared on the internet in real time for the fender mounted weather resistant camera on robotaxi.
US National Park and unlimited locations present compelling content encouraging robotaxi traveling. Close-up images including live video of Bison’s at Yellowstone National Park will be incredible and compelling.
Advertising
Unlimited potential for advertising sponsorship. Supporting first-hand experiences of products especially included drinks will be beneficial advertisement opportunities. Innovation for marketing can include reduction of global taxi in expense to consumer with sponsorship offsetting some or all the traveling cost.
Test driving
Vehicle original equipment manufacturers (OEM) can make vehicles available, under favorable terms and condition so robotaxing entities, offering physical experience with their products
Robo-Travel
New method of traveling will be available. Individuals and families will be able to make a choice about local regional and National problems with robot taxi element. Within app individuals can select end-to-end location traveling. Street-address-to- street-address including for pets and packages.
Often regional traveling is more increasingly more inefficient compared to new ground transportation methods. With increase airport delays, long lines, early arrival and departure delays, requirements through security and his inconvenient and negative experience traveling by commercial aircraft.
Augmenting air travel with private aircraft new efficient cost-effective traveling opportunities. Flexible shared resources including robotaxing new traveling methods economically viable.
Traveling application’s
Technology enables new technology applications operating on smartphones. Technological geographical locating and destination enables new methods of transportation to be offered efficiently.
Autonomous traveling
A new era of transportation utilizing autonomous traveling will occur and be offered including by small independent business owners networked work together with technology for a seamless traveling experience.
Intimate weather
Traveling during bad weather conditions can be very challenging. Newly available vehicles can transverse bad weather conditions.
Route’s
Pre-planned routes with robo taxi our planned. Popular travel to and from location will be presented a new option for traveling.
For example in the United States destination traveling door-to-door from Los Angeles-to-Las Vegas and Vegas back to Los Angeles. Potentially departing and arriving on demand but scheduled every hour on the hour likely. Completely digital with no human intervention individual skin tipping point a to point b and c and d as necessary pick-up other individuals and/or personal property.
Unlimited popular traveling routes. New York City to the Hamptons New York summertime. Seasonal travel routes with robot taxing. New York City to Washington DC. Departing efficiently from Washington DC in New York City door-to-door
Even with driver requirements in the short term drivers will be recruited and offered traveling opportunities. Possibly the driver and personal passenger traveling opportunity front seat traveling. Potentially having two license drivers in the vehicle, possibly increasing distance of traveling efficiently.
Potential rotating food Miami to personal resort destinations in Florida.
London to Paris
Global robotaxing support is planned and supported. London to Paris.
Sponsored robotaxing
Potentially third-party sponsored fully or partially robo-taxing is possible. Producers of goods and services to cover some all the costs of the robo taxi service consumer.
Technologically decentralized autonomous likely artificial intelligence enabled matching occurs
High rollers
Currently casinos cover the entire cost transportation in a combination for high rollers. Expansion of this high-roller package could include robo-taxi. The casinos would pay a fee or reciprocate with rooms and other benefits to robo-taxing services. In-kind compensation. Innovative robo taxing businesses opportunities for all parties expanded.
evValet
High traffic popular destinations can have evValet robo taxi stations. Dedicated locations for arriving and departing passengers. Including on-demand robotaxing. Walk-up and depart by robotaxi.
Concierge
Robotaxi providers work closely with concierge virtually and physically. Booking free is paid to concierge in cash and/or in-kind products and services a good gift certificates and vouchers.
Tipping
Compensation to drivers and others can be earned with tipping. Much like many industries the larger portions their income compensation come from tips paid by consumers
Potentially, drivers additional compensation from consumers by tipping with cash or in-kind services. Possibly traveling by private jet to a destination offered or other beneficial traveling on boats. Having a robot taxi with or without a driver is beneficial to travel a consumers.
Regional knowledge
Especially travelers unfamiliar with local and region can greatly benefit from robotaxi with our without drivers. This includes taking consumers to special locations including working with restauranteurs to expand experiences.
Environmental benefits
Electric vehicle robo-traveling will have significant reduced of polluting emissions from any current form of traveling. Clean sustainable traveling: local, regional and national traveling is enabled.
Driver security
Vehicle technology includes multiple cameras including in the passenger cabin potentially with real-time multimedia sharing to central location. Any criminal activity occurring in or around the vehicle is video recorded and reported with expected law enforcement response to occur quickly. Special low profile security systems can be installed in robo-taxis.
Traveling comfortable & securely
Technology transportation vehicles increase traveling comfortableness and security. Entertainment and traveling flexibility for food and drinks has many benefits including: convenience, comfort, safety and security.
Arbitrage
Individuals can average cause the difference between vehicles payments (rental, lease or banking) and potential earning power of the vehicle. Vehicle insurance is probably operating cost potentially available by electric vehicle manufacturer or under a special auto insurance umbrella policy.
Profitability formulas
At this time it’s extremely difficult to financially model with accuracy the profitability of having a robo-taxi fleet (similar to the real estate industry)
Cost per key, utilization rate & revenue rate.
The formula is likely to consist of cost per key really the monthly payment, not totally vehicle cost (the lower the cost per vehicle the better for the formula autonomously enabled electric vehicles potentially and reportedly could be low soon, including for purposely manufactured vehicles for robotaxing.
At this time, autonomous electric vehicle can be rented, leased and purchased. The autonomous software can be purchased or paid by monthly subscription.
Ride sharing
The ride-sharing industry is significant financially with Uber and Lyft as a leading players. Both companies are publicly traded with significant market cap. Both companies went from zero revenue to billions of dollars short period of time.
The technology the “app” was the key enabler to existence of the ride-sharing industry including payments.
Ride-sharing disrupted the traditional taxi industry for ground transportation of individuals.
Prediction of the market value for robotaxi industry are significant trillions of dollars.
Opt in program
Current and future autonomously enabled vehicle owners can opt-in to participate in robo-taxi program. Potentially, generating passive income or direct income depending on their requirements and capability.
Robo-taxi Coming soon autonomous driving vehicles with or without driver/chauffeurs. Potentially using humanoids… Tesla Bot…
Media concepts
Driverless Vehicles
Driverless Vehicles (new words, not yet used by others) good new words for the media/journalist, politicians and others.
Disclaimer
Information contains hypothetical information.
Forward-looking statement
The information provided contains significant amount of forward-looking statements that may or may not ever happen.
Open source
All information is open source not proprietary can be used by anyone, anytime for any meaningful purpose.
There
The
In the United States, many states require drivers that are transporting people to have a chauffeur’s license.
Back ground Chauffeur:
Similar to a taxi driver, a professional chauffeur is responsible for transporting clients from one place to another while ensuring safety and comfort.
Where the jobs differ is instead of running a meter or searching the city for passengers, chauffeurs usually have a pre-determined schedule or they work exclusively for specific clients.
Does Virginia have chauffeur license?
What do I need to do to operate a limousine and/or executive sedan for compensation within Virginia? You must obtain a Contract Passenger Carrier certificate. To obtain the authority, you must submit an Operating Authority Certificate or License Application (OA-150) with all of the required documentation
Chauffeur drivers are trained on a professional level to take proper safety precautions whenever they’re behind the wheels with a business executive. On the other hand, a commercial driver (CDL) professionally handles heavy trucks and other vehicles used for transportation of various cargo
Chauffeur
a person employed to drive a private or rented automobile.
“a chauffeur-driven limousine”
What does chauffeur meaning in slang?
The literal meaning of the French noun chauffeur (from the verb chauffer, meaning “to heat”) is “one that heats.” In the early days of automobiles, French speakers extended the word to those who drove the “horseless carriage,” and it eventually developed an extended sense specifically for someone hired to drive other
Female Chauffeuse
Chauffeur” is a masculine French word, with the feminine equivalent being “chauffeuse” but, like many historically gendered professions, “chauffeur” has now become the accepted gender-neutral term, with “chauffeuse” now more likely to be used to describe a chair by a fireplace
Background Information:
When the car is FSD without supervision, i.e. Robotaxi, you’ll be able to earn far more than monthly lease/loan cost by allowing others to use it. Managing a small fleet of Robotaxis will be a career for many & much better than driving a single car. “ October 2019 – Elon Musk
Musk has long-championed the concept of autonomous vehicles, in 2019 calling Tesla vehicles “appreciating assets” because of his confidence that Tesla owners could one day deploy their vehicles as robotaxis
and make money on the cars instead of leaving them in parking lots.
Elon Musk’s robotaxi plan help Tesla owners make $30,000 a year? Per vehicle, potentially small business owners can have many vehicles 10 Vehicles could earn as much as $300,000 per year cross revenue possibly.
Elon Musk further noted that by next year, Tesla would have 1 million vehicles on the road that could potentially take part in its Robotaxi fleet. The CEO expects each car to be capable of doing around 100 hours of work per week, allowing owners to make money as the electric vehicles drive passengers to and from their destination
Ark Estimates $11–12 Trillion Robotaxi Market in 2030
July 28, 2021 by Brian Wang
ARK estimates that autonomous driving could reduce the cost of ride-hail significantly, expanding the addressable market. Today, the average price of an Uber is $2 per mile, while Didi is $0.50-$.70 per mile. We estimate that autonomous ride-hail vehicles will have higher utilization rates than human-driven cars, as well as lower labor and insurance costs. At scale, ARK estimates that an autonomous taxi platform could price rides profitably at 25 cents per mile
JOIN
AHorseless carriage? You’ll never get me in one of those (haven’t we been here b
Aug 25, 2017© Flickr/cc-licence/William Creswell (“do mind the flower beds, father!”)
© Flickr/cc-licence/William Creswell (“do mind the flower beds, father!”)
Intel says passenger trust is the key to our autonomous future
Industry needs to resolve several human machine interface tension points
Gartner says 55 per cent of people will not ride in a fully autonomous vehicle
Accenture developing a deep learning algorithm to transform driver safety
What is it with change? You know there’s no going back and that you’ll love it eventually, but the often the very idea of it is too much to handle. Case in point; the car. Back in 1803, the great engineer Richard Trevithick demonstrated what is thought to have been the first horseless carriage in London. The steam-powered converted passenger carriage lasted the best part of a century, with the first US version appearing in around 1863. However, it was doomed to fail and be supplanted by vehicles powered by the internal combustion engine (although what really spelled the end for the steam carriage was the rise of the railways, which were much more suited to regulated steam power than roads).
In fact, work on petrol-driven vehicles was underway throughout the nineteenth century. By 1885, Karl Benz (later to partner with Daimler and his company’s Mercedes brand) started a rudimentary production line for his petrol-powered car, although it was the Model T from Ford in 1908 that turned the car into a mass market product.
In those early days of the industry, the “car” was seen as a menace and a mechanical monster by large sections of the population. Luckily private investment managed to drive through (bad pun intended) the development of the car, as wealthy individuals attracted by the prestige, the speed and no doubt the danger, provided the financial backing. The fear of many people about trusting their lives to a carriage that had no horses was understandable. Remember that streets and towns were never designed for vehicles, adding to the peril.
But the car was here to stay. The influential wealthy elites (especially in France, which after all gave us the name “automobile”) ensured their success. But what is often overlooked is that most of these early car owners didn’t drive themselves – they employed (another adopted French word) chauffeurs.
Fast forward to today. The prospect of autonomous vehicles – and silent electric ones at that – is proving equally terrifying to many people. They will soon be faced with vehicles that look different to the cars of today (whose design is constrained by chassis and combustion engine space requirements), are powered by a different energy source, and require a different type of driver. Is a computer algorithm and real-time sensor/actuator system any different from employing a liveried chauffeur to perform the mysterious act of “driving” and controlling the car? Not really. And are our towns and cities suited to these new vehicles? No they are not, and they will need to be rebuilt.
The combustion-engine car lasted a few decades longer than the steam powered horse carriages (and proved far more successful), but now it’s time for another change. It will happen, and people will accept that change, but there will be difficulties along the way.
All of which leads us to three separate news stories that have emerged in the past 24 hours, all relating to the human acceptance (or otherwise) of the autonomous vehicle.
Trust me, I’m an autonomous vehicle
Intel has been pushing its work on autonomous vehicles recently, with numerous media updates. It says that passenger trust is the key to our autonomous future, even with perfect self-driving. It quotes a 2016 AAA study that found that 75 per cent of Americans are afraid to ride in self-driving cars.
“We are really close to perfecting the technology for self-driving cars,” said Jack Weast, senior principal engineer and the chief systems architect of Intel’s Autonomous Driving Group, “but our driverless future won’t go anywhere if people don’t trust it. The difference between theory and practice comes down to this: People are downright scared of robot cars.”
Intel recently conducted a ‘trust interaction’ qualitative study with autonomous car passengers who had no previous exposure to driverless cars. Apparently, every single participant experienced a huge leap in their confidence level after their journey.
The research identified seven areas of tension that warrant further exploration and Intel plans to continue user experience research in these areas to help the industry deliver a trustworthy driverless car experience. The human machine interface (HMI) tension points were identified as follows:
Human vs. machine judgment: Participants were concerned about the absence of human judgment in a driverless car for handling nuanced situations like jaywalkers or other drivers cutting ahead of the autonomous car.
Personalized space vs. lack of assistance: The idea of having free time while riding in a self-driving vehicle was welcomed, but participants were also concerned about the lack of accountability when there is no driver.
Awareness vs. too much information: Most participants anticipated a learning curve to get comfortable with the autonomous driving system, but they felt some of the alerts and communications might become bothersome and intrusive.
Giving up control of the vehicle vs. gaining new control of the vehicle: For some, riding in the back seat where there were no vehicle controls was an uneasy feeling, but they also valued new control experiences, such as the ability to summon a vehicle and open it using a mobile device.
How it works vs. proof it works: Understanding how the technology functions and its full capabilities was paramount to participants.
Tell me vs. listen to me: While participants were comforted by the car’s human “voice,” many wondered if they could use their own voice to communicate with the car.
Rule-following machines vs. human interpretation of the rules: While safety was the number one factor for trust among participants, there were nuances in their interpretation of safety, as their own behaviour as drivers was not always safe or by the book.
Fear factor
If 75 per cent of Americans said last year that they were afraid to ride in self-driving cars, what has happened twelve months on? Not very much, according to a new Gartner survey. This survey polled around 1,500 people in the US and Germany and found that 55 per cent will not ride in a fully autonomous vehicle. Like Intel, Gartner cautions that consumer and social acceptance is a key driver in autonomous vehicle adoption.
“Fear of autonomous vehicles getting confused by unexpected situations, safety concerns around equipment and system failures and vehicle and system security are top concerns around using fully autonomous vehicles,” said Mike Ramsey, research director at Gartner.
Survey respondents agreed that fully autonomous vehicles do offer many advantages, including improved fuel economy and a reduced number and severity of crashes. Additional benefits they identified include having a safe transportation option when drivers are tired and using travel time for entertainment and work. The survey found that consumers who currently embrace on-demand car services are more likely to ride in and purchase partially and fully autonomous vehicles, signifying that these more evolved users of transportation methods are more open toward the concept of autonomous cars.
“Autonomous driving technology will fundamentally transform the automotive industry, changing the way vehicles are built, operated, sold, used and serviced,” added Ramsey. “The industry is investing in new safety and convenience technology at a rate not seen since the dawn of the automobile. The experience of owning and operating a car will be dramatically different in ten years.”
Gartner believes that as of mid-2017, more than 46 companies are building artificial intelligence-based software to control autonomous vehicles. In a glimmer of good news, it adds that 71 per cent of its survey respondents said they may consider riding in a partially autonomous vehicle. Hey, it’s a start!
Human fallibilities
Whilst not specifically focused on autonomous vehicles, a new initiative in Japan will undoubtedly feed into the autonomous driving development work. Accenture has announced that it is collaborating with Sompo Japan Nipponkoa Insurance and Daiichi Kotsu Sangyo in Japan to build a deep learning algorithm using the Intel IoT Platform Reference Architecture to better understand individual driving habits and identify new ways to transform driver safety.
Accenture will use the input to develop an algorithm that will automatically assess the accident risk for each driver by collating and analysing images, biometrics, and vehicle data indicating speed and driving behaviour. Deep learning will be integral to the data platform and could enable transportation companies to provide personalized safety instructions for drivers, helping reduce the number of accidents.
“Rapid advances in IoT and autonomous driving technologies are bringing new challenges that can only be addressed by using new technologies such as this deep learning algorithm,” said Takuya Kudo, Data Science Center of Excellence global lead and Japan lead for Accenture Analytics.
In an initial Proof of Concept experiment conducted in March 2017 that used data collected from 100 taxis and 100 drivers, the deep-learning algorithm created intelligence that identified signs of drivers’ drowsiness and near-miss accidents from their heart-rate changes and driving behaviour.
Vehicles from horse-drawn carriages to the latest Tesla model have always presented dangers, with many of these been down to human errors and fallibilities. Will AI-based autonomous fare any different, or will we be faced with all too predictable headlines about the Rise of the Killer Robot Cars?