Autonomous Vehicle Implementation Predictions Implications for Transport Planning

Similar documents
Autonomous Vehicle Implementation Predictions Implications for Transport Planning

Autonomous Vehicle Implementation Predictions

Activity-Travel Behavior Impacts of Driverless Cars

Todd Litman Victoria Transport Policy Institute. Presented at the Sixth Regional Forum on Environmentally Sustainable Transport In Asia

Funding Scenario Descriptions & Performance

Opportunities to Leverage Advances in Driverless Car Technology to Evolve Conventional Bus Transit Systems

Automated driving in urban environments: technical challenges, open problems and barriers. Fawzi Nashashibi

An Introduction to Automated Vehicles

Transportation Demand Management Element

Planning for AUTONOMOUS VEHICLES. Presentation on the planning implications of self-driving vehicles. by Ryan Snyder Transportation Planning Expert

Car Sharing at a. with great results.

Support Material Agenda Item No. 3

Service Quality: Higher Ridership: Very Affordable: Image:

Application of Autonomous Vehicle Technology to Public Transit

Parking Management Strategies

The Implications of Automated Vehicles for the Public Transit Industry

CSE 352: Self-Driving Cars. Team 14: Abderrahman Dandoune Billy Kiong Paul Chan Xiqian Chen Samuel Clark

3/16/2016. How Our Cities Can Plan for Driverless Cars April 2016

Shared mobility as an equity strategy: local and global context. Cassie Halls, Program Coordinator

Policy Note. Vanpools in the Puget Sound Region The case for expanding vanpool programs to move the most people for the least cost.

Will self-driving cars help or hurt efforts to cut emissions? Don MacKenzie Civil & Environmental Engineering

Policy Options to Decarbonise Urban Passenger Transport

Application of Autonomous Driving Technology to Transit

Area-Wide Road Pricing Research in Minnesota

Planning for Future Mobility In a Performance-Based World Steven Gayle, PTP

The Value of Travel-Time: Estimates of the Hourly Value of Time for Vehicles in Oregon 2007

Planning for Autonomous Vehicles

The Road to Automated Vehicles. Audi of America Government Affairs

AUTONOMOUS VEHICLES: PAST, PRESENT, FUTURE. CEM U. SARAYDAR Director, Electrical and Controls Systems Research Lab GM Global Research & Development

Intelligent Vehicle Systems

The Future is Bright! So how do we get there? Council of State Governments West Annual Meeting August 18, 2017

Self-Driving Vehicles and Transportation Markets

THE WAY TO HIGHLY AUTOMATED DRIVING.

Research Challenges for Automated Vehicles

MEETING 21 ST CENTURY TRANSPORTATION CHALLENGES: Entering New Era of Redefining Mobility. SUSAN MARLOW, GISP Principal at Stantec MAPPS President

Transportation Cost and Benefit Analysis II Applications and Case Studies Victoria Transport Policy Institute (

TAEDE TILLEMA. Senior (Kennisinstituut voor Mobiliteitsbeleid)

Summary FEBRUARY 2019

Autonomous Vehicles: Status, Trends and the Large Impact on Commuting

Naturalistic Experiment to Simulate Travel Behavior Implications of Self-Driving Vehicles: The Chauffeur Experiment

Safety Considerations of Autonomous Vehicles. Darren Divall Head of International Road Safety TRL

G4 Apps. Intelligent Vehicles ITS Canada ATMS Detection Webinar June 13, 2013

Policy considerations for reducing fuel use from passenger vehicles,

NEW YORK CITY CARSHARE PILOT

Rui Wang Assistant Professor, UCLA School of Public Affairs. IACP 2010, Shanghai June 20, 2010

Impact of Autonomous Vehicles on a Typical Canadian City

Cooperative Autonomous Driving and Interaction with Vulnerable Road Users

Estimating the Benefits from Mileage-based Vehicle Insurance, Taxes and Fees

Rex Hughes, Madrona Venture Group Bruce Agnew, Cascadia Center Scott O. Kuznicki, Transpo Group

Amman Green Policies Projects and Challenges. Prepared by: Eng. Sajeda Alnsour Project coordinator Sept. 20, 2017

Aging of the light vehicle fleet May 2011

Transportation and Energy

The connected vehicle is the better vehicle!

Future Freight Transportation

Distance-Based Charges; A Practical Strategy for More Optimal Vehicle Pricing

Thoughts on carsharing Robin Chase

How It Rolls Out. Vehicle Automation and the Future of Personal Transportation. Melissa Ruhl April 2015 ITE SF Bay Area

Autonomous Vehicles and Transportation Technology: Planning for an Uncertain Future. Andy Hingeveld, AICP Minnesota APA Conference

Battery Bus Feasibility. Jan 29, 2018

Autonomous Vehicles. Conceição Magalhães 3 rd AUTOCITS workshop, October 10 th, Infrastructure Overview

Track: Data and Innovation

Introduction and Background Study Purpose

Waco Rapid Transit Corridor (RTC) Feasibility Study

NEW YORK CITY CARSHARE PILOT

ITS and connected cars

The TDM Plan for Fort Washington Office Park NOVEMBER 1 6, 2017 FORT WASHINGTON OFFICE PARK STAKEHOLDERS

NEW YORK CITY CARSHARE PILOT

RIETI BBL Seminar Handout

AUTONOMOUS VEHICLES When will they get here? Copper Strategy Success Seminar. The Future of Work. 29th September 2016 MARK BORLACE

Energy Efficiency Transport Sector

Implementing Transport Demand Management Measures

Ideas + Action for a Better City learn more at SPUR.org. tweet about this #DisruptiveTransportation

Automation is in the Eye of the Beholder: How it Might be Viewed by the Traffic Engineer

D-25 Speed Advisory System

A Transit Plan for the Future. Draft Network Plan

An Asset Management Plan for Transit And Access Transit Fleet

THE FUTURE OF TRANSPORTATION DESIGN WITH AV/CV TECHNOLOGY

IMPACT OF AUTOMATED HIGHWAY SYSTEMS ON INTELLIGENT TRANSPORTATION SYSTEMS RESEARCH.

Deep Learning Will Make Truly Self-Driving Cars a Reality

Northeast Autonomous and Connected Vehicle Summit

Stan Caldwell Executive Director Traffic21 Institute Carnegie Mellon University

Don Elliott, FAICP Clarion Associates, Denver, CO Pace Land Use Law Conference, White Plains December 2017

Jurisdictional Guidelines for the Safe Testing and Deployment of Highly Automated Vehicles. Developed by the Autonomous Vehicles Working Group

LONG-TERM TRANSPORTATION ELECTRICITY USE CONSIDERING AUTONOMOUS VEHICLES: ESTIMATES & POLICY OBSERVATIONS

METI Ministry of Economy, Trade and Industry. METI s Automated driving Demo

Transportation Sustainability Program

Automated Driving: The Technology and Implications for Insurance Brake Webinar 6 th December 2016

The Future of TDM History can help us understand the present, and predict the future!

The USDOT Congestion Pricing Program: A New Era for Congestion Management

WASHINGTON STATE ROAD USAGE CHARGE ASSESSMENT

Implementation of Future Transportation Technologies: Getting Beyond the Low Hanging Fruit without Chopping Down the Tree

The Boston South Station HSIPR Expansion Project Cost-Benefit Analysis. High Speed Intercity Passenger Rail Technical Appendix

Seoul Transportation

Automated Vehicles: Perspectives from Canadian vehicle OEMs. CCMTA Annual Meeting Toronto, ON May 25, 2014

AUTONOMOUS VEHICLES: WILLINGNESS TO PAY AND WILLINGNESS TO SHARE BILLY CLAYTON GRAHAM PARKHURST DANIELA PADDEU JOHN PARKIN

Development of California Regulations for Testing and Operation of Automated Driving Systems

Draft Results and Recommendations

Grid Services From Plug-In Hybrid Electric Vehicles: A Key To Economic Viability?

Sustainability SFMTA Path to Platinum

Continental Mobility Study Klaus Sommer Hanover, December 15, 2011

Transcription:

Autonomous Vehicle Implementation Predictions Implications for Transport Planning Todd Litman Victoria Transport Policy Institute Workshop 188 Activity-Travel Behavioral Impacts and Travel Demand Modeling Implications of Driverless Cars TRB Annual Meeting Washington DC 12 January 2014

Practical Impacts How will autonomous vehicles affect people s lives, and transport planning issues such as roadway and parking supply requirements, and crash rates?

Benefits Reduced driver stress. Reduce the stress of driving and allow motorists to rest and work while traveling. Reduced driver costs. Reduce costs of paid drivers for taxis and commercial transport. Mobility for non-drivers. Provide independent mobility for non-drivers, and therefore reduce the need for motorists to chauffeur non-drivers, and to subsidize public transit. Increased safety. May reduce many common accident risks and therefore crash costs and insurance premiums. May reduce high-risk driving, such as when impaired. Increased road capacity, reduced costs. May allow platooning (vehicle groups traveling close together), narrower lanes, and reduced intersection stops, reducing congestion and roadway costs. More efficient parking, reduced costs. Can drop off passengers and find a parking space, increasing motorist convenience and reducing total parking costs. Increase fuel efficiency and reduce pollution. May increase fuel efficiency and reduce pollution emissions. Supports shared vehicles. Could facilitate carsharing (vehicle rental services that substitute for personal vehicle ownership), which can provide various savings. Costs/Problems Increases costs. Requires additional vehicle equipment, services and maintenance, and possibly additional roadway infrastructure. Additional risks. May introduce new risks, such as system failures, be less safe under certain conditions, and encourage road users to take additional risks (offsetting behavior). Security and Privacy concerns. May be vulnerable to information abuse (hacking), and features such as GPS tracking and data sharing may raise privacy concerns. Induced vehicle travel and increased external costs. By increasing travel convenience autonomous vehicles may induce additional vehicle travel, increasing external costs of parking, crashes and pollution. Social equity concerns. May have unfair impacts, for example, if they lead to reduced convenience and safety of other modes. Reduced employment and business activity. Jobs for drivers should decline, and there may be less demand for vehicle repairs due to reduced crash rates. Misplaced planning emphasis. Focusing on technological solutions may discourage communities from implementing conventional but cost-effective transport projects such as pedestrian and transit improvements, and demand management strategies.

Equipment Requirements Automatic transmissions. Diverse and redundant sensors (optical, infrared, radar, ultrasonic and laser) capable of operating in diverse conditions (rain, snow, unpaved roads, tunnels, etc.). Wireless networks. Short range systems for vehicle-to-vehicle communications, and longrange systems to access to maps, software upgrades, road condition reports, and emergency messages. Navigation, including GPS systems and special maps. Automated controls (steering, braking, signals, etc.) Servers, software and power supplies with high reliability standards. Additional testing, maintenance and repair costs for critical components, such as automated testing and cleaning of sensors.

Shared Vehicles (Autonomous Taxis) Many motorists may prefer to own their vehicles for identity. Self-driving taxis prices will probably be somewhere between that of carsharing ($0.60- $1.00 per vehicle-mile, which reflect the average costs to own and operate vehicles, plus some administrative costs) and humanoperated taxis ($2.00-3.00 per vehicle-mile, which include vehicle ownership, operation, administration, plus dispatch and driver labor costs). Self-driving taxis are likely to incur, at least sometimes, the following additional costs: Additional vehicle travel to trip origins. Cleaning and vandalism. Assuming that vehicles make 200 weekly trips, 5-15% of passengers leave messes with $10-30 average cleanup costs, and 1-4% vandalize vehicles with $50-100 average repair costs, these costs would average between $200 and $1,700 per vehicle-week. Reduced comfort and privacy. To minimize vandalism self-driving taxis will probably have less comfort (no leather upholstery or carpeted floors), fewer accessories, and less reliability (for more frequent cleaning and repairs) than personal vehicles.

Stage Level 2 Limited automation (steering, braking and lane guidance) Coordinated platooning Level 3 Restricted self-driving Level 4 Self-driving in all conditions Notes This is the current state of art, available on some new vehicles. Currently technically feasible but requires vehicle-to-vehicle communications capability, and dedicated lanes to maximize safety and mobility benefits. Currently being tested. Google experimental cars have driven hundreds of thousands of miles in self-drive mode under restricted conditions. Requires more technological development. Regulatory approval for automated driving on public roadways. Fully-autonomous vehicles available for sale. Autonomous vehicles become a major portion of total vehicle sales. Autonomous vehicles become a major portion of vehicle fleets. Autonomous vehicles become a major portion of vehicle travel. Market saturation. Universal Some states have started developing performance standards and regulations that autonomous vehicles must meet to legally operate on public roads. Several companies predict commercial sales of driverless cars between 2018 and 2020, although their capabilities and prices are not specified. Will depend on performance, prices and consumer acceptance. New technologies usually require several years to build market acceptance. As the portion of new vehicles with autonomous driving capability increases, their portion of the total vehicle fleet will increase over a few decades. Newer vehicles tend to be driven more than average, so new technologies tend to represent a larger portion of vehicle travel then the vehicle fleet. Everybody who wants an autonomous vehicle has one. All vehicles operate autonomously.

Previous Vehicle Technologies Name Deployment Cycle Typical Cost Premium Market Saturation Share Air bags 25 years (1973-98) A few hundred dollars 100%, due to federal mandate Automatic transmissions 50 years (1940s- 90s) $1,500 90% U.S., 50% worldwide Navigation systems 30+ years (1985-2015+) $500 and rapidly declining Uncertain; probably over 80%. Optional GPS 15 years $250 annual 2-5% services Hybrid vehicles 35+ years (1997-2003+) $5,000 Uncertain. Currently about 4%. Experience with previous technologies can provide a guide to deployment cycles and market saturation rates of autonomous vehicles.

Implementation Projections 100% 80% 60% Sales - Optimistic Sales - Pessimistic Travel - Optimistic Travel - Pessimistic Fleet - Optimistic Fleet - Pessimistic 40% 20% 0% 2020 2030 2040 2050 2060 2070 Stage Decade Vehicle Sales Veh. Fleet Veh. Travel Available with large price premium 2020s 2-5% 1-2% 1-4% Available with moderate price premium 2030s 20-40% 10-20% 10-30% Available with minimal price premium 2040s 40-60% 20-40% 30-50% Standard feature included on most new vehicles 2050s 80-100% 40-60% 50-80% Saturation (everybody who wants it has it) 2060s??? Required for all new and operating vehicles??? 100% 100% 100%

Many Factors Affect Future Demands

Transport Planning Prediction Timeline

Conclusions - Deployment This analysis suggests that autonomous vehicles will have only modest impacts on transport planning issues such as road and parking supply, and public transit demand for the next few decades. If they follow previous vehicle technology development and deployment patterns, they will initially be costly and imperfect. During the 2020s and perhaps the 2030s, they are likely to be expensive novelties with limited abilities. It will probably be the 2040s or 2050s before middle-income families can afford to purchase autonomous vehicles that can safely chauffeur nondrivers, and longer before they are affordable to lower-income households. It is possible that a significant portion of motorists will prefer to drive their vehicles so traffic will mixed, creating new roadway management problems.

Conclusions Deployment Costs Vehicle innovations tend to be implemented more slowly than for other technological change due to their high costs, strict safety requirements, and slow fleet turnover. Automobiles typically cost fifty times and last ten times as long as much as personal computers and mobile phones, so consumers seldom purchase new vehicles simply to obtain a new technology. Large increases in new vehicle purchase, expenditure and scrappage rates would be required for most vehicles to be autonomous before 2050.

Conclusions Benefits and Costs There is considerable uncertainty concerning autonomous vehicle benefits, costs and travel impacts. They will require additional equipment, services and maintenance that will probably increase user costs by hundreds or thousands of dollars per vehicle-year. Advocates may exaggerate net benefits by ignoring new costs and risks, offsetting behavior, rebound effects, and harms to people who do not to use the technology, such as reduced public transit service. Benefits are sometimes double-counted by summing increased safety, traffic speeds and facility savings.

Conclusions Planning Issues Whether they total vehicle travel increases or declines. It could go either way. The degree potential benefits can be achieved when only a portion of vehicle travel is autonomous. Some benefits, such as improved mobility for affluent non-drivers may occur when autonomous vehicles are relatively uncommon and costly, but many potential benefits require that most or all vehicles on a road operate autonomously. Whether this technology may harm people who do not use such vehicles, for example, if increased traffic volumes and speeds degrade walking and cycling conditions, conventional public transit service declines, or humanoperated vehicles are restricted.

Evaluating Non-Motorized Transportation Benefits and Costs Autonomous Vehicle Implementation Projections Transportation Cost and Benefit Analysis New Transportation Planning Paradigm The Future Isn t What It Used To Be Online TDM Encyclopedia and more... www.vtpi.org 15