Kevin Heaslip
Cited by
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Inferring transportation modes from GPS trajectories using a convolutional neural network
S Dabiri, K Heaslip
Transportation research part C: emerging technologies 86, 360-371, 2018
Evaluation of resiliency of transportation networks after disasters
D Freckleton, K Heaslip, W Louisell, J Collura
Transportation research record 2284 (1), 109-116, 2012
Intelligent transportation system security: impact-oriented risk assessment of in-vehicle networks
KB Kelarestaghi, M Foruhandeh, K Heaslip, R Gerdes
IEEE Intelligent Transportation Systems Magazine 13 (2), 91-104, 2019
Developing a Twitter-based traffic event detection model using deep learning architectures
S Dabiri, K Heaslip
Expert systems with applications 118, 425-439, 2019
Estimation of freeway work zone capacity through simulation and field data
K Heaslip, A Kondyli, D Arguea, L Elefteriadou, F Sullivan
Transportation research record 2130 (1), 16-24, 2009
CPS: an efficiency-motivated attack against autonomous vehicular transportation
RM Gerdes, C Winstead, K Heaslip
Proceedings of the 29th Annual Computer Security Applications Conference, 99-108, 2013
Semi-supervised deep learning approach for transportation mode identification using GPS trajectory data
S Dabiri, CT Lu, K Heaslip, CK Reddy
IEEE Transactions on Knowledge and Data Engineering 32 (5), 1010-1023, 2019
Analysis of the electric vehicles adoption over the United States
A Soltani-Sobh, K Heaslip, A Stevanovic, R Bosworth, D Radivojevic
Transportation research procedia 22, 203-212, 2017
Resiliency of transportation network of Santo Domingo, Dominican Republic: case study
NU Serulle, K Heaslip, B Brady, WC Louisell, J Collura
Transportation research record 2234 (1), 22-30, 2011
Modeling transportation network redundancy
X Xu, A Chen, S Jansuwan, K Heaslip, C Yang
Transportation research procedia 9, 283-302, 2015
Evaluation of transportation network reliability during unexpected events with multiple uncertainties
A Soltani-Sobh, K Heaslip, A Stevanovic, J El Khoury, Z Song
International journal of disaster risk reduction 17, 128-136, 2016
A sketch level method for assessing transportation network resiliency to natural disasters and man-made events
K Heaslip, W Louisell, J Collura, N Urena Serulle
Transportation Research Board 89th Annual MeetingTransportation Research Board, 2010
Minimizing the disruption of traffic flow of automated vehicles during lane changes
D Desiraju, T Chantem, K Heaslip
IEEE Transactions on Intelligent Transportation Systems 16 (3), 1249-1258, 2014
Intelligent transportation system security: hacked message signs
KB Kelarestaghi, K Heaslip, M Khalilikhah, A Fuentes, V Fessmann
SAE International Journal of Transportation Cybersecurity and Privacy 1 (11 …, 2018
Estimation of road network reliability on resiliency
A Soltani-Sobh, K Heaslip, J El Khoury
A methodology to evaluate transportation resiliency for regional networks
K Heaslip, W Louisell, J Collura
Transportation Research Board 88th Annual MeetingTransportation Research Board, 2009
Can daytime digital imaging be used for traffic sign retroreflectivity compliance?
M Khalilikhah, K Heaslip, Z Song
Measurement 75, 147-160, 2015
Analysis of crashes in freeway work-zone queues: a case study
S Srinivasan, G Carrick, K Heaslip, S Washburn
Research Project, 2007
Cycling usage and frequency determinants in college campuses
KB Kelarestaghi, A Ermagun, KP Heaslip
Cities 90, 216-228, 2019
Acceptability of increasing petrol price as a TDM pricing policy: A case study in Tehran
M Khalilikhah, M Habibian, K Heaslip
Transport Policy 45, 136-144, 2016
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