Joshua Auld
Joshua Auld
Principal Computational Transportation Engineer, Argonne National Laboratory
Verified email at
Cited by
Cited by
POLARIS: Agent-based modeling framework development and implementation for integrated travel demand and network and operations simulations
J Auld, M Hope, H Ley, V Sokolov, B Xu, K Zhang
Transportation Research Part C: Emerging Technologies 64, 101-116, 2016
Analysis of telecommuting behavior and impacts on travel demand and the environment
R Shabanpour, N Golshani, M Tayarani, J Auld, AK Mohammadian
Transportation Research Part D: Transport and Environment 62, 563-576, 2018
Activity planning processes in the Agent-based Dynamic Activity Planning and Travel Scheduling (ADAPTS) model
J Auld, AK Mohammadian
Transportation Research Part A: Policy and Practice 46 (8), 1386-1403, 2012
An automated GPS-based prompted recall survey with learning algorithms
J Auld, C Williams, A Mohammadian, P Nelson
Transportation Letters 1 (1), 59-79, 2009
Framework for the development of the agent-based dynamic activity planning and travel scheduling (ADAPTS) model
J Auld, A Mohammadian
Transportation Letters 1 (3), 245-255, 2009
Analysis of the effects of connected–automated vehicle technologies on travel demand
J Auld, V Sokolov, TS Stephens
Transportation Research Record 2625 (1), 1-8, 2017
A behavioral housing search model: Two-stage hazard-based and multinomial logit approach to choice-set formation and location selection
TH Rashidi, J Auld, AK Mohammadian
Transportation Research Part A: Policy and Practice 46 (7), 1097-1107, 2012
Efficient methodology for generating synthetic populations with multiple control levels
J Auld, A Mohammadian
Transportation Research Record 2175 (1), 138-147, 2010
Consumer preferences of electric and automated vehicles
R Shabanpour, SND Mousavi, N Golshani, J Auld, A Mohammadian
2017 5th IEEE International Conference on Models and Technologies for…, 2017
Mesoscopic traffic flow model for agent-based simulation
F de Souza, O Verbas, J Auld
Procedia Computer Science 151, 858-863, 2019
Analysis of transit users’ waiting tolerance in response to unplanned service disruptions
E Rahimi, A Shamshiripour, R Shabanpour, A Mohammadian, J Auld
Transportation Research Part D: Transport and Environment 77, 639-653, 2019
Integrating supply and demand perspectives for a large-scale simulation of shared autonomous vehicles
KM Gurumurthy, F de Souza, A Enam, J Auld
Transportation Research Record 2674 (7), 181-192, 2020
Impact of privately-owned level 4 CAV technologies on travel demand and energy
J Auld, O Verbas, M Javanmardi, A Rousseau
Procedia Computer Science 130, 914-919, 2018
Urban travel route and activity choice survey: Internet-based prompted-recall activity travel survey using global positioning system data
MZ Frignani, J Auld, A Mohammadian, C Williams, P Nelson
Transportation research record 2183 (1), 19-28, 2010
Population synthesis with subregion-level control variable aggregation
JA Auld, A Mohammadian, K Wies
Journal of Transportation Engineering 135 (9), 632-639, 2009
Evacuation decision behavior for no-notice emergency events
N Golshani, R Shabanpour, A Mohammadian, J Auld, H Ley
Transportation research part D: transport and environment 77, 364-377, 2019
Time-dependent intermodal A* algorithm: Methodology and implementation on a large-scale network
Verbas, J Auld, H Ley, R Weimer, S Driscoll
Transportation Research Record 2672 (47), 219-230, 2018
Dynamic activity generation model using competing hazard formulation
J Auld, TH Rashidi, M Javanmardi, A Mohammadian
Transportation research record 2254 (1), 28-35, 2011
Eliciting attitudinal factors affecting the continuance use of E-scooters: An empirical study in Chicago
M Javadinasr, S Asgharpour, E Rahimi, P Choobchian, ...
Transportation research part F: traffic psychology and behaviour 87, 87-101, 2022
Modeling activity conflict resolution strategies using scheduling process data
J Auld, AK Mohammadian, ST Doherty
Transportation Research Part A: Policy and Practice 43 (4), 386-400, 2009
The system can't perform the operation now. Try again later.
Articles 1–20