0-6754: review of tolling approaches for implementation within TxDOT's travel demand models:[project summary]. K Hall, K Kockelman, D Chen, A Mullins, D Fagnant, S Boyles, M Burris Texas. Dept. of Transportation, 2013 | | 2013 |
0-6849: Implications of Automated Vehicles on Safety, Design and Operation of the Texas Highway System K Kockelman, SD Boyles Center for Transportation Research, University of Texas at Austin, 2016 | | 2016 |
2. Government Accession No. 3. Recipient’s Catalog No. R Paterson, S Handy, K Kockelman, C Bhat, J Song, J Rajamani, J Jung, ... | | 2003 |
A Bayesian semi-parametric model to estimate relationships between crash counts and roadway characteristics TS Shively, K Kockelman, P Damien Transportation research part B: methodological 44 (5), 699-715, 2010 | 54 | 2010 |
A bivariate multinomial probit model for trip scheduling: Bayesian analysis of the work tour JD Lemp, KM Kockelman, P Damien Transportation Science 46 (3), 405-424, 2012 | 12 | 2012 |
A Comparison of Static and Dynamic Traffic Assignment Under Tolls in the Dallas-Fort Worth Region S Boyles, S Ukkusuri, ST Waller, K Kockelman Transportation Research Board Conference Proceedings 2 (42), 114-117, 2008 | 13 | 2008 |
A comparison of static and dynamic traffic assignment under tolls: a study of the dallas-fort worth network S Boyles, SV Ukkusuri, ST Waller, KM Kockelman 85th Annual meeting of the transportation research board, 2006 | 16 | 2006 |
A Conditional Autoregressive Model For Spatial Analysis Of Pedestrian Crash Counts Across Neighborhoods Y Wang, KM Kockelman Transportation Research Board 92nd Annual MeetingTransportation Research Board, 2013 | 1 | 2013 |
A CONDITIONAL-AUTOREGRESSIVE COUNT MODEL FOR PEDESTRIAN CRASHES ACROSS NEIGHBORHOODS 2 Y Wang, KM Kockelman Crossroads, 43, 2007 | 3 | 2007 |
A CORDON CHARGE FOR THE DISTRICT OF COLUMBIA: A SOLUTION TO DC’S FISCAL PROBLEMS AND THE REGION’S CONGESTION? AF Marks, KM Kockelman Transportation Research Board 86th Annual MeetingTransportation Research Board, 2007 | | 2007 |
A direct-demand model for bicycle counts: the impacts of level of service and other factors DJ Fagnant, K Kockelman Environment and Planning B: Planning and Design 43 (1), 93-107, 2016 | 60 | 2016 |
A dynamic land-use model with location externalities and zoning regulations W Zhang, KM Kockelman Innovations in urban and regional systems: Contributions from GIS&T, spatial …, 2016 | 1 | 2016 |
A general framework for modeling shared autonomous vehicles with dynamic network-loading and dynamic ride-sharing application MW Levin, KM Kockelman, SD Boyles, T Li Computers, Environment and Urban Systems 64, 373-383, 2017 | 277 | 2017 |
A GPS-BASED ENHANCED APPROACH FOR TRAFFIC INCIDENT AND CONGESTION DETECTION Q Ma, K Kockelman | | |
A low-cost GPS-data-enhanced approach for traffic network evaluations Q Ma, K Kockelman International Journal of Intelligent Transportation Systems Research 17 (1 …, 2019 | 4 | 2019 |
A maximum entropy-least squares estimator for elastic origin-destination trip matrix estimation C Xie, KM Kockelman, ST Waller Procedia-Social and Behavioral Sciences 17, 189-212, 2011 | 59 | 2011 |
A model for time-and budget-constrained activity demand analysis KM Kockelman Transportation Research Part B: Methodological 35 (3), 255-269, 2001 | 91 | 2001 |
A multivariate Poisson-lognormal regression model for prediction of crash counts by severity, using Bayesian methods J Ma, KM Kockelman, P Damien Accident Analysis & Prevention 40 (3), 964-975, 2008 | 493 | 2008 |
A Multivariate Spatial Analysis for Anticipating New Firm Counts Y Wang, KM Kockelman, P Damien Spatial Econometrics: Qualitative and Limited Dependent Variables 37, 167-193, 2016 | | 2016 |
A new approach for travel demand modeling: linking Roy's Identity to discrete choice KM Kockelman, S Krishnamurthy Transportation Research Part B: Methodological 38 (5), 459-475, 2004 | 40 | 2004 |