The Real Case for Driverless Mobility : Putting Driverless Vehicles to Use for Those Who Really Need a Ride.

Format:

Book

Author/Creator:

Kornhauser, Alain L.

Contributor:

Sena, Michael L.

Language:

English

Subjects (All):

Automated vehicles.

Artificial intelligence.

Physical Description:

1 online resource (278 pages)

Edition:

1st ed.

Place of Publication:

San Diego : Elsevier, 2024.

Summary:

This book, authored by Alain L. Kornhauser and Michael L. Sena, explores the potential of driverless vehicles to enhance mobility for those lacking access to traditional transportation. It delves into the historical context of automobile dependence, evaluates current transportation challenges, and advocates for redefining public transit with innovative driverless technology. The authors discuss various aspects of driverless technology readiness, automotive artificial intelligence, and the business proposition of affordable mobility. They emphasize the importance of policy-making and energy considerations in implementing driverless vehicle solutions. The book is intended for academics, policymakers, and industry professionals interested in the future of transportation and mobility solutions. Generated by AI.

Contents:

Intro

The Real Case for Driverless Mobility: Putting Driverless Vehicles to Use for Those Who Really Need a Ride

Copyright

Contents

Acknowledgments

Chapter 1: Why we have become dependent on cars

Introduction: The historical context for our proposal

Principles: Understanding initial conditions

Cars are essential to mobility, but not everyone has one

All those Roman roads and no place to go

Serfs, indentured servants, and slaves

The renaissance got things moving in different directions

The first industrial revolution exploited rivers, but not for transport

Then it started to exploit what was under the ground

Where did workers in the European factories and mines come from?

The New Worlds first industrial revolution

Skies grew darker as the cities grew larger

Current conditions: Private cars were the last straw for sprawl, not the first

The process of suburbanization begins

Cities finally cease to be the principal place where jobs are found

Businesses finally fled the cities, and services followed

Future predictions: Once jobs, services, and people are everywhere, transit cannot help

But is not there an urban renaissance happening?

The United States is a nation of small cities

Those who live in poor communities suffer most

Why not just give a car to everyone who needs one but cannot afford to buy it?

Summary: How we will go about showing driverless rides can work

Chapter 2: Mobility is not affordable for everyone

Introduction: Current transport options are not good enough

Why people take trips

Principles: Public transit must be redefined

It is time to start thinking outside of the bus

Maybe TfL is on to something

Meanwhile, on the other side of the pond

If buses disappeared from cities, would we miss them?.

Can on-demand buses solve the place-time utility equation?

Current conditions: Externalities of a car-based mobility solution

Future Predictions: Creating a greater good

Summary: Match the price with the cost

Chapter 3: Is driverless technology ready for the challenge?

Introduction: If we are counting on them for a ride, they have to work

Principles: Investments keep pouring in

Argo AI: Peter, Bryan, and the argonauts

Enter Volkswagen

Aurora innovation: The dawn of a new age

A rather rocky start

One door closes while another one opens

Cruise automation: Do you believe in magic

What did GM think it was buying?

Waymo has way more, or so they say

Oxbotica

Navya

Current applications: Top-down or bottom-up

Computers and humans need to partner, not compete

Driverless driving starts with safe driving

ADAS has contributed to the significant fall in motor vehicle-related deaths

Collision warning systems

Collision intervention systems

Driving control assistance systems

ADAS architecture

The effectiveness of advanced driver assistance systems

The evolution of cruise control

Automatic lane keeping systems (ALKS)

Fuel optimization

Speed adapted to rules of the road, road geometry, and dynamic conditions

Where was the PCC data supposed to come from?

Future predictions: From safe to driverless driving

Operational design domain

Driving is a full-time 360o task

Proprioception, kinesthesia, and multisensory integration

The importance of exact location

Reactive localization

Will robots roam everywhere or just somewhere?

Is connectivity necessary for safe operation?

Remote support

Human-machine interface

A first HMI standard for driverless functionality

Object and event detection and response

Data storage system for automated driving (DSSAD).

Cybersecurity and software updates

Summary: Were not there yet, but getting closer

Chapter 4: Where driverless cars can roam

Introduction: The operational design domain concept

Safety should drive engineering

Principles: Is there a taxonomy for grouping ODDs, or are they unique?

Current conditions: Deep-, surface-, temporal- and infra-structure

Future predictions: What is really safe enough?

Summary: Consult the genius of the place

Chapter 5: The role of automotive artificial intelligence

Introduction: AI has a role, but it must be limited

Cars did not hop from the analog cave to the digital penthouse

Principles: But first, what AI is, and what AI is not

Current conditions: How automotive AI is being used today

Driver monitoring systems (DMS)

Predictive maintenance of manufacturing systems

Automotive testing

Speech recognition

Automotive AI that interacts with humans

Humans and AI sharing the driving task on board the vehicle

Remote vehicle assistance

Driver assistance with and without automotive AI

Future predictions: Putting the wrappings on the automotive AI package

Automotive AI and issues of data privacy

Automotive AI and issues of liability

Ensuring that automotive AI follows the laws

What is standing in the way of Automotive AI?

Summary: Where we are with Automotive AI

We are already in the age of AI

Chapter 6: The business proposition of affordable mobility

Introduction: Producing vehicles that can deliver an affordable ride

Principles: The first market for driverless cars

Creative destruction or disruptive innovation

More than just another car

We havent been asking the right questions

Fast forward to the beginning of the BEV era

Current conditions: Context, requirements and user trajectories

Applying Christensens lessons learned.

Driverless car trajectories

Future predictions: Mobility for those who are underserved by current options is a totally new market

Summary: Putting driverless cars into the market

Disruptive innovations should not require tech breakthroughs

Chapter 7: The making and operating of driverless vehicles

Introduction: A sea change or an evolution of the automotive status quo

Principles: A new product or a new industry

Making and building the vehicles

Outsourcing and creating the instant company

Current conditions: Selling and servicing driverless vehicles

Selling vehicles to driverless fleets

Servicing driverless vehicles

Future predictions: Operating driverless cars services

Summary: All thats missing is the will

Chapter 8: Powering driverless vehicles

Introduction: BEVs are the only option-For now

Principles: Energy sources are the critical factors

Increased electricity use is increasing marginal CO2 emissions

We have to explore all options

Current conditions: From solid ICE proponents to unabashed BEV supporters

Perception is reality

Future predictions: Geopolitical ramifications of picking a winner

Summary: Its not over until its over

Chapter 9: The role of policymaking

Introduction: Individualist or collectivist

Principles: Predicting the future or enabling innovation

Protecting public safety while encouraging new solutions

Current conditions

Regulations: Lets not forget the laws we already have

Mercedes-Benz uses the framework to advantage

Germanys government prepares the way

Insurance: Existing regulations are ready for driverless

Insurers use the Goldilocks rule of determining rates

Precertification is a preferred approach

Accurate data from the vehicle is essential

What are the costs of crashes and who bears them.

There are hidden costs with improved safety

Perhaps the insurance revolution starts with buses

Mercedes-Benz and Germany: A case study in liability

German law provides further clarification

How liability is apportioned in Germany

What the insurers say about liability for driverless cars

Future predictions: Its time to standardize the standards

Stars and crash dummies

From an information program to a new standard

Who sets the standards for ADAS tests and driverless technology

How they do NCAP in Europe

The inventors no longer like their invention

Summary: Making policies for affordable mobility

Chapter 10: Making it happen

Introduction: Design and analysis of deployment scenarios

Principles: Modeling the demand side

Step 1: Creation of the Princeton Nationwide person file

Step 2: Creation of the Princeton Nationwide PersonTrip file

Journey to school

Journey to work

Journey to other places

Current conditions: Modeling the supply side

The scope of the supply side

Walking

Conventional bus transit trips

Conventional rail transit trips

Trips involving airlines that serve long trips

Trips within the operational design domain (ODD) of the demand-responsive system

The MOVES-style operational design concept

MOVES-style design and data visualization

MOVES mode split process

MOVES operational simulation and animation

MOVES basic economic analysis

MOVES kiosk design concepts

MOVES community involvement concepts

Future predictions: Trenton MOVES

A preliminary analysis of an interesting MOVES-style proof-of-market deployment

So, what are the real opportunities quantitatively?

Principles: Initial service design

Considerations

Budget estimation

Summary: Expect the unexpected

Trenton MOVES: By, for and in the community.

Choosing a location for the summit.

Notes:

Description based on publisher supplied metadata and other sources.

Part of the metadata in this record was created by AI, based on the text of the resource.

ISBN:

9780443236860

0443236860

OCLC:

1419872233