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Alexander M. Hainen

Alex Hainen

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affiliation: University of Alabama, Tuscaloosa, AL, USA

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2020 – today

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2024
[j4]
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  - journals/jits/ZhangNLHIY24
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Zihe Zhang, Qifan Nie, Jun Liu, Alex Hainen, Naima Islam, Chenxuan Yang:
Machine learning based real-time prediction of freeway crash risk using crowdsourced probe vehicle data. J. Intell. Transp. Syst. 28(1): 84-102 (2024)
2022
[j3]
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Xing Fu, Qifan Nie, Jun Liu, Asad J. Khattak, Alexander M. Hainen, Shashi Nambisan:
Constructing spatiotemporal driving volatility profiles for connected and automated vehicles in existing highway networks. J. Intell. Transp. Syst. 26(5): 572-585 (2022)
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  - journals/corr/abs-2211-01845
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Muhammad Sami Irfan, Mizanur Rahman, Travis Atkison, Sagar Dasgupta, Alexander M. Hainen:
Reinforcement Learning based Cyberattack Model for Adaptive Traffic Signal Controller in Connected Transportation Systems. CoRR abs/2211.01845 (2022)
2020
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  - journals/pubtrans/IslamTHA20
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Naima Islam, Md Abu Sufian Talukder, Alex Hainen, Travis Atkison:
Characterizing co-modality in urban transit systems from a passengers' perspective. Public Transp. 12(2): 405-430 (2020)

2010 – 2019

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2018
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  - conf/vtc/KuaiSHH18
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Meng Kuai, Pawan Subedi, Xiaoyan Hong, Alexander M. Hainen:
Sustain Vehicle-Crowds via Traffic Signal Adjustments. VTC Fall 2018: 1-5
2017
[j1]
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Abhay D. Lidbe, Alexander M. Hainen, Steven L. Jones:
Comparative study of simulated annealing, tabu search, and the genetic algorithm for calibration of the microsimulation model. Simul. 93(1): 21-33 (2017)
[c3]
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  - conf/ACMse/AlexanderHH17
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William E. Alexander, Xiaoyan Hong, Alexander M. Hainen:
V2I Communication-Enabled Real-Time Intersection Traffic Signal Scheduling. ACM Southeast Regional Conference 2017: 26-33
2013
[c2]
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Alexander M. Hainen, Stephen M. Remias, Darcy M. Bullock:
Collection and analysis of multi-modal airport land side probe data from Bluetooth enabled mobile devices. ITSC 2013: 1304-1309
2012
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Alexander M. Hainen, Stephen M. Remias, Thomas M. Brennan, Christopher M. Day, Darcy M. Bullock:
Probe vehicle data for characterizing road conditions associated with inclement weather to improve road maintenance decisions. Intelligent Vehicles Symposium 2012: 730-735

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