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Matthew Vechione
Matthew Vechione
Assistant Professor of Civil Engineering, The University of Texas at Tyler
Verified email at uttyler.edu - Homepage
Title
Cited by
Cited by
Year
Comparisons of mandatory and discretionary lane changing behavior on freeways
M Vechione, E Balal, RL Cheu
International journal of transportation science and technology 7 (2), 124-136, 2018
572018
Comparative evaluation of adaptive fuzzy inference system and adaptive neuro-fuzzy inference system for mandatory lane changing decisions on freeways
M Vechione, RL Cheu
Journal of Intelligent Transportation Systems 26 (6), 746-760, 2022
122022
Smart mobility for seniors: challenges and solutions in El Paso, TX, and New York, NY
M Vechione, C Marrufo, RA Vargas-Acosta, MG Jimenez-Velasco, ...
2018 IEEE International Smart Cities Conference (ISC2), 1-8, 2018
122018
Artificial neural network prediction model for in situ resilient modulus of subgrade soils for pavement design applications
NR Bastola, MM Vechione, M Elshaer, MI Souliman
Innovative Infrastructure Solutions 7, 1-12, 2022
72022
Development of a smartphone application serving pavement management engineers
D Stephens, MI Souliman, M Vechione, M Shirvaikar, Y Li
Transportation Research Record 2676 (6), 182-196, 2022
42022
Preliminary study on rutting performance of pavement structures under the effect of future autonomous vehicle movements
NR Bastola, MI Souliman, M Vechione
Innovative Infrastructure Solutions 8 (1), 60, 2023
22023
Trip Distribution Patterns on a University Campus: A Smarter Travel Demand Forecasting Approach
M Vechione, S Paudel, O Gurbuz
2021 IEEE International Smart Cities Conference (ISC2), 1-7, 2021
22021
Analysis of Destination Lane Choice at Urban Intersections
J Frazier, M Vechione, O Gurbuz
2020 IEEE International Smart Cities Conference (ISC2), 1-7, 2020
22020
Fuzzy logic-based decision models for mandatory lane changes on freeways
M Vechione, RL Cheu
Transportation Research Board 98th Annual MeetingTransportation Research Board, 2019
22019
Fault tolerance analysis of an adaptive neuro-fuzzy inference system for mandatory lane changing decisions in automated driving
M Vechione, RL Cheu
International Journal of Transportation Science and Technology 12 (2), 594-605, 2023
12023
Port-of-Entry Simulation Model for Potential Wait Time Reduction and Air Quality Improvement: A Case Study at the Gateway International Bridge in Brownsville, Texas, USA
B Stewart, H Moya, AU Raysoni, E Mendez, M Vechione
CivilEng 4 (1), 345-358, 2023
12023
iMOST: An IoT Framework for Energy Efficient Street Lights
MM Uddin, J Stapp, M Vechione, P Sundaravadivel
2022 IEEE 8th World Forum on Internet of Things (WF-IoT), 1-2, 2022
12022
Travel Demand Forecasting to Predict Parking Behavior At University Campuses: A Case Study at The University of Texas at Tyler
S Paudel
12021
Analysis and modeling of lane changing behavior
MM Vechione
The University of Texas at El Paso, 2019
12019
Comparisons of discretionary lane changing behavior: Implications for autonomous vehicles
M Vechione, E Balal, RL Cheu
ITE Journal 88 (6), 2018
12018
Application of machine learning models to predict driver left turn destination lane choice behavior at urban intersections
M Moinuddin, L Proffer, M Vechione, A Khanal
International Journal of Transportation Science and Technology 13, 155-170, 2024
2024
CMI3 Corozal Metric for Intersection Improvement and Implementation: A Tool to Improve Vulnerable Road User Safety in a Developing Country
L Proffer, M Vechione, M Souliman, Y Olivares-Ortiz, W Hickey
Journal of Belizean Research 2 (1), 2024
2024
Predicting University Campus Parking Demand Using Machine Learning Models
S Paudel, M Vechione, O Gurbuz
Transportation Research Record, 03611981231193417, 2023
2023
UAV-based Travel Assistive Technology for Smart Transportation
N McNamara, J Park, M Vechione, P Sundaravadivel
2022 IEEE 15th Dallas Circuit And System Conference (DCAS), 1-2, 2022
2022
Logit Regression Model to Predict Driver Left Turn Destination Lane Choice Behavior at Urban Intersections
E Proffer, J Frazier, O Gurbuz
2021
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