http://orfe.princeton.edu/%7Ealaink/SmartDrivingCars/Papers/index_files/image009.jpghttp://orfe.princeton.edu/%7Ealaink/SmartDrivingCars/Papers/index_files/image010.jpg

On the More Technical Side

http://orfe.princeton.edu/%7Ealaink/SmartDrivingCars/Papers/index_files/image010.jpgORFE & PAVE

o   Virtual Environments as Driving Schools for Deep Learning Vision-Based Sensors in Self-Driving Cars, Artur Filipowicz'17, April 2017

o   DeepFollowing: Vision-Based Distance Estimation on Synthetically-Generated Driving Video using 3D Convolution, Nayan Bhat'17, April 2017

o   The ATaxi Revolution: Autonomous Vehicle Implementation and Ride-Sharing Optimization in the United States and China, Antigone Hope Valen'17, April 2017

o   The Search for the Sustainable Fleet: Driverless Taxi System Simulations Keith Gladstone'17, April 2017

o   Developing the Regulatory Environment for Autonomous Vehicles: Historical Lessons for the Socio-technical Transition, Rebeca De La Espriella'17,  April 2017

o   Commercial Auto Insurance Risk Management Strategies, Thomas P. Byrne '17,April 2017

o   Serving the Nation's Personal Mobility Needs with the Casual Sharing of autonomousTaxis & Today's Urban Rail, Amtrak and Air Transport Systems A. Kornhauser & Orf467F16 Class, Feb 2017

o   A National Hybrid Activity/Agent-Based Demand Model to Characterize the Mobility of the United States, K. Marocchini, Jan 2017

o   Learning to Recognize Distance to Stop Signs Using the Virtual World of Grand Theft Auto 5 A. Filiowicz, J. Liu, A Kornhauser, Aug 2016

o   Extracting Cognition out of Images for the Purpose of Autonomous Driving, Chenyi Chen, PhD Dissertation, Princeton University May 2016

o   The Interplay between Fleet-size, Level-of-Service, and Empty Repositioning Strategies in Large-scale, Shared-ride autonomousTaxis Mobility-on-Demand Scenarios S. Zhu, A. Kornhauser, Aug 2016

o   Synthetic Generation of Individual Vehicle-borne Person Trips That Characterize Individual Mobility Across the United States on a Typical Day K. Marocchini, A. Kornhauser, Aug 2016

o   Make American Transportation Great Again: Autonomous Taxi Fleet Management Strategies S. Zhu, April 2016

o   Quantifying the Potential for Dynamic Ride-Sharing of New York City’s Taxicabs S. Bhat, April 2016

o   A Ridesharing Analysis with a Hitchhiking Modification Applied to Taxi Trips in New York A. Schindele. April, 2016

o   Orf467F15 Final Report: Fleet Management of Area-Wide Ride-Sharing: A First Look at what it would take to Serve New Jersey's Mobility Needs, K. Marocchini, T. Roth, S. Zhu, A. Kornhauser and rest of class. Jan. 2016

o   A Research Roadmap for Substantially Improving Safety for Transit Buses through 2 Autonomous Braking Assistance for Operators J. Lutin, A. Kornhauser, J. Speers, L. F. Sanders, August 2015

o   A DRIVERLESS ALTERNATIVE: FLEET SIZE AND COST REQUIREMENTS FOR A STATEWIDE AUTONOMOUS TAXI NETWORK IN NEW JERSEY, C. Brownell, A. Kornhauser, August, 2013

o   Uncongested Mobility for All: A Proposal for an Area Wide Autonomous Taxi System in New Jersey, J. Zachariah, J. Gao, A. Kornhauser, T. Mufti, July 2013

o   Application of Autonomous Driving Technology to Transit - Functional Capabilities for Safety and Capacity, J. Lutin, A. Kornhauser July, 2013

o   The Revolutionary Development of Self-Driving Vehicles and Implications for the Transportation Engineering Profession, J. Lutin, A. Kornhauser, E. Lerner-Lam, ITE Journal, 2014

http://orfe.princeton.edu/%7Ealaink/SmartDrivingCars/Papers/index_files/image011.jpgDeepDriving: Learning Affordance for Direct Perception in Autonomous Driving Proceedings of 15th IEEE International Conference on Computer Vision (ICCV2015) C. Chen, A. Seff, A. Kornhauser and J. Xiao.

 

 Computer Vision for Autonomous Vehicles: Problems, Datasets & State-of-the-Art J.Janai, F Guney, A Behl and A Geiger arXiv:1704.05519v1, 18 Apr 2017

http://orfe.princeton.edu/%7Ealaink/SmartDrivingCars/Papers/index_files/image012.jpgU of Texas Of note publications by K. Kockelman and co-authors:

o    Papers submitted under review for presentation at the 97th Annual Meeting of the TRB and for publication in Transportation Research Record (2018) co-authored by K. Kockelman:

Americans Plans for Acquiring & Using Electric, Shared & Self-Driving Vehicles- Neil Quarles & Kara Kockelman

Fleet Performance & Cost Evaluation of a Shared Autonomous Electric Vehicle (SAEV) Fleet: A Case Study for Austin, Texas - Ben Loeb & Kara Kockelman.

What Will Autonomous Trucking Do to U.S. Trade Flows? Application of the Random-Utility-Based Multi-Regional Input-Output Model - Yantao Huang & Kara Kockelman.

Analyzing the Dynamic Ride-Sharing Potential for Shared Autonomous Vehicle Fleets using Cellphone Data from Orlando, Florida - Krishna Murthy Gurumurthy & Kara Kockelman.

Deeper Understanding of Americans Autonomous Vehicle Preferences: Questions on Long-Distance Travel, Ride-Sharing, Privacy, & Crash Ethics - Krishna Murthy Gurumurthy, Kara Kockelman, & Jeffrey (Hyungseung) Hahm. 

Anticipating Long-Distance Travel Shifts due to Self-Driving Vehicles - Ken Perrine, Kara Kockelman & Yantao Huang. 

o    Costs & Benefits of Electrifying & Automating U.S. Bus Fleets  - Under review for presentation at the 97th Annual Meeting of the TRB and for publication in Transportation Research Record (2018). Neil Quarles & Kara Kockelman.

o    Shared Autonomous Electric Vehicle (SAEV) Operations across the Austin, Texas Network with a Focus on Charging Infrastructure Decisions Ben Loeb, Kara Kockelman, and Jun Liu. Under review for presentation at the 96th Annual Meeting of the Transportation Research Board and publication in Transportation Research Record (2017).

o    Tracking a System of Shared Autonomous Vehicles across the Austin, Texas Network using Agent-Based Simulation  Jun Liu, Kara Kockelman, Patrick Boesch, and Francesco Ciari. Under review for presentation at the 96th Annual Meeting of the Transportation Research Board and publication in Transportation Research Record (2017).

o    Anticipating the Emissions Impacts of Autonomous Vehicles Using the MOVES Model Jun Liu, Kara Kockelman & Aqshems Nichols. Under review for presentation at the 96th Annual Meeting of the Transportation Research Board and publication in Transportation Research Record (2017).

o    Economic Effects of Autonomous Vehicles  Lewis Clements & Kara Kockelman. Under review for presentation at the 96th Annual Meeting of the Transportation Research Board and publication in Transportation Research Record (2017).

o    Anticipating the Regional Impacts of Connected and Automated Vehicle Travel in Austin, Texas  Yong Zhao & Kara Kockelman. Under review for presentation at the 96th Annual Meeting of the Transportation Research Board and publication in Transportation Research Record (2017).

o    Making the Most of Curb Spaces in a World of Shared Autonomous Vehicles: A Case Study of Austin, Texas Qinglu Ma, Kara Kockelman, & Marc Segal. Under review for presentation at the 96th Annual Meeting of the Transportation Research Board and publication in Transportation Research Record (2017).

 

o    Public priorities and consumer preferences for selected attributes of Automated Vehicles
Paulina Lustgarten & Scott Le Vine. Under review for presentation at the 96th Annual Meeting of the Transportation Research Board and publication in Transportation Research Record (2017).

  Google Self-Driving Car Testing Report on Disengagements of Autonomous Mode Dec. 2015

 MIT

o   Final Reports 2015
Probe Data WG Final Report
Legal Issues WG Final Report
HMI WG Final Report
SafeApps WG Final Report
Implementation Road Maps WG Final Report
Summary of the Working Group Achievements

Others:

Santa Clara University

 

o   N. DuPuis et al, City of the Future; Technology & Mobility, 2015