• TRB 100th Annual Meeting - A Virtual Event

      January 2021

    • Online Program

2020

Annual Meeting Event Detail




Poster Session 1278

Advances in Artificial Intelligence Applications in Transportation and Road Infrastructure, Part 2 (Part 1, Session 1211)

Monday, January 13 1:30 PM- 3:15 PM ET
Poster
Yunlong Zhang, Texas A&M University, College Station
Sponsored by:
Standing Committee on Artificial Intelligence and Advanced Computing Applications (Changed to AED50 on 4/15/2020) (ABJ70)

Applications of state of the art machine learning techniques such as deep neural nets, reinforcement learning, convolution neural networks for traffic monitoring, traffic prediction, travel behavior, mode choice, real-time congestion monitoring, driver behavior, developing and assessing technologies for Connected and Autonomous Vehicles.



No agenda available

Title Presentation Number
Integrated Inverse Herfindahl-Hirschman Index, Compromise Programming, and ε-Constraint Method for Multi-Criteria Transportation Investment Decision Making
Tung Truong, Illinois Institute of Technology
Ji Zhang, Illinois Institute of Technology
Zongzhi Li, Illinois Institute of Technology
Lu Wang, Illinois Institute of Technology
Show Abstract
20-02253
Predicting Crashes by Applying Machine Learning on New Sources of Driver Behavior Data
Gareth Robins, EROAD
Jason Anderson, Portland State University
Salvador Hernandez, Oregon State University
Show Abstract
20-02335
Modern Convolutional Neural Networks for Rebar Detection in Bridge Deck GPR B-Scans on Mobile and Embedded Systems
Pouria Asadi, University of Rhode Island
Mayrai Gindy, University of Rhode Island
Marco Alvarez, University of Rhode Island
Alireza Asadi, Azad University
Show Abstract
20-02447
MT-LinAdapt: A Human-Centric, Machine Learning–Based Individual Drivers’ Route Choice Model for Personalized Route Recommendations
Bingrong Sun, University of Virginia
Lin Gong, University of Virginia
Jisup Shim, Delft University of Technology
Kitae Jang, Korea Advanced Institute of Science and Technology (KAIST)
B. Brian Park, University of Virginia
Hongning Wang, University of Virginia
Jia Hu, Tongji University
Show Abstract
20-02497
Graph Markov Network for Traffic Forecasting with Missing Data
Zhiyong Cui, University of Washington
Longfei Lin, Beihang University
Ziyuan Pu, University of Washington
Yinhai Wang, University of Washington
Show Abstract
20-02694
A Smart, Efficient, and Reliable Parking Surveillance System with Edge Artificial Intelligence on IoT Devices
Ruimin Ke, University of Washington
Yifan Zhuang, University of Washington
Ziyuan Pu, University of Washington
Yinhai Wang, University of Washington
Show Abstract
20-02716
End-to-End Vision-Based Adaptive Cruise Control Using Deep Reinforcement Learning
Zhensong Wei, University of California, Riverside
Yu Jiang, University of California, Riverside
Xishun Liao, University of California, Riverside
Xuewei Qi, General Motors Company
Ziran Wang, University of California, Riverside
Guoyuan Wu, University of California, Riverside
Peng Hao, University of California, Riverside
Matthew Barth, University of California, Riverside
Show Abstract
20-02725
Vehicle Re-Identification with Image Processing and Car-Following Model Using Multiple Surveillance Cameras from Urban Arterials
Zhongxia Xiong, Beihang University School of Transportation Science and Engineering
Ziying Yao, Beihang University
Xinkai Wu, Beihang University
Ming Li, Beihang University
Show Abstract
20-02741
Decentralized Multi-Agent Coordination in Connected and Autonomous Vehicle Routing
Alireza Mostafizi, Oregon State University
Matthew Frantz, Oregon State University
Haizhong Wang, Oregon State University
Show Abstract
20-02749
Learning to Identify Critical Link Combinations of Roadway System Through Network Embedding
Tingting Zhao, University of Maryland, College Park
Di Zhuang, University of South Florida
Yu Zhang, University of South Florida
Show Abstract
20-02819
A Deep Recurrent Neural Network Framework for Vehicle Trajectory Reconstruction Using Automatic License Plate Recognition Data
Yinpu Wang, Southeast University
Leilei Zhu, Highway Bureau of Jiangsu Provincial Transportation Department
Jishun Ou, Southeast University
Zhenbo Lu, Southeast University
Jingxin Xia, Southeast University
Show Abstract
20-02909
Spatiotemporal Regularized Factorization for Traffic Data Imputation
Lulu Tan, McGill University
Xudong Wang, McGill University
Luis Miranda-Moreno, McGill University
Aurelie Labbe, HEC Montreal
Lijun Sun, McGill University
Show Abstract
20-03099
Short-Term Prediction of Demand for Ridehailing Services: A Deep-Learning Approach: UBERNET
long chen, University of Glasgow
Piyushimita Thakuriah, Rutgers University
Konstantinos Ampountolas, University of Thessaly
Show Abstract
20-03136
Vehice Trajectory Reconstruction for Single Intersection with Multiple Cameras Using Image-Based Vehicle Detection, Tracking, and Re-Identification
Zhongxia Xiong, Beihang University School of Transportation Science and Engineering
Ziying Yao, Beihang University
Xinkai Wu, Beihang University
Ming Li, Beihang University
Show Abstract
20-03142
A Double Deep Q Network-Based Variable Speed Limit Control to Reduce Travel Time at Freeway Bottlenecks
Zemian Ke, Southeast University
Zhibin Li, Southeast University
Pan Liu, Southeast University
Yong Liu, Nanjing University
Show Abstract
20-03149
Deep-Reinforcement, Learning-Based Ramp Metering Strategy with Image-Input Convolutional Neural Network
Shenghong Dai, University of Wisconsin, Madison
Changyan Fan, Southeast University
Mofeng Yang
Zhibin Li, Southeast University
Yuxuan Hou, Southeast University
Show Abstract
20-03163
Snowplow Truck Performance Assessment and Feature Importance Analysis Using Machine Learning Techniques
Zhiyan Yi, University of Utah
Xiaoyue Cathy Liu, University of Utah
Ran Wei, University of California, Riverside
Tony Grubesic, University of Texas, Austin
Show Abstract
20-03293
Transportation Mode Detection by Using Smartphones and Smartwatches with Machine Learning
Raed Hasan, Western Michigan University
Hafez Irshaid, General Motors Company
Sangwoo Lee, Western Michigan University
Jun-Seok Oh, Western Michigan University
Show Abstract
20-03451
Hybrid Reinforcement Learning for Multi-Sensor-Based Connected Eco-Driving at Signalized Intersections
Zhengwei Bai, Beijing Jiaotong University
Peng Hao, University of California, Riverside
Matthew Barth, University of California, Riverside
Show Abstract
20-03479
Study into Central Lane Marking Classification and Degradation Measurement of Retroreflective Area Using CNNs
Michael Brogan, Reflective Measurement Systems
James Mahon, Reflective Measurement Systems
Show Abstract
20-03526
Traffic State Reconstruction Using Deep Convolutional Neural Networks
Ouafa Benkraouda, New York University, Abu Dhabi
Bilal Thonnam Thodi, New York University, Abu Dhabi
Hwasoo Yeo, Korea Advanced Institute of Science and Technology (KAIST)
Monica Menendez, New York University, Abu Dhabi
Saif Jabari, New York University, Abu Dhabi
Show Abstract
20-03790
Vehicular Energy Use Prediction Using Recurrent Neural Networks with Probe Trajectory Data
Jonathan Waddell, Wayne State University
Stephen Remias, Wayne State University
Jacob Holden, National Renewable Energy Laboratory (NREL)
Henry Fournier, Wayne State University
Mark Brown, Wayne State University
Show Abstract
20-04015
Development of an AI-Based Modeling Framework for Traffic Incident Detection
Zhenyu Wang, Old Dominion University
Hong Yang, Old Dominion University
Mecit Cetin, Old Dominion University
Zhitong Huang, Leidos, Inc.
Sudhakar Nallamothu, Leidos, Inc.
Peter Huang, Federal Highway Administration (FHWA)
Show Abstract
20-04205
Using Conditional Generative Adversarial Nets and Heat Maps with Simulation Accelerated Training to Predict the Spatio-Temporal Impacts of Highway Incidents
Zirui Raymond Huang, University of Arizona
Ali Arian, Metropia Inc.
Yuqiu Yuan, University of Arizona
Yi-Chang Chiu, University of Arizona
Show Abstract
20-04220
Social Media Text Analysis Using Multi-Kernel Convolution Neural Network for Ridehailing Service Assessment
Anna Philips, University of Texas, Arlington
Farah Naz, University of Texas, Arlington
Kate Hyun, University of Texas, Arlington
Vivek Patel, University of Texas, Arlington
Gordon Zhang, Georgia Institute of Technology (Georgia Tech)
Won Hwa Kim, University of Texas, Arlington
Show Abstract
20-04234
A Deep-Learning Model Case Study: An Application in I-580 Express Lane Traffic Forecasting
Nassim Sohaee, University of Texas, Dallas
Farzad Karami, University of Texas, Dallas
Shahram Bohluli, C&M Associates, Inc.
Chao Huang, C&M Associates, Inc.
Show Abstract
20-04280
Managing Traffic Demand Under Stochastic Demand: A Reinforcement Learning Framework
Pinchao Zhang, Carnegie Mellon University
Fei Fang, Carnegie Mellon University
Sean Qian, Carnegie Mellon University
Show Abstract
20-04393
Distilling Black Box Travel Mode Choice Model for Behavioral Interpretation
Xilei Zhao, University of Florida
Zhengze Zhou, Cornell University
Xiang Yan, University of Michigan, Ann Arbor
Pascal Van Hentenryck, Georgia Institute of Technology (Georgia Tech)
Show Abstract
20-04395
Estimating Hourly Traffic Volumes Using Artificial Neural Network with Additional Inputs of Automatic Traffic Recorders
Sara Zahedian, University of Maryland, College Park
Przemyslaw Sekula, University of Maryland, College Park
Amir Nohekhan, University of Maryland, College Park
Zachary Vander Laan, University of Maryland, College Park
Show Abstract
20-04404
­Deep-Learning Enabled Long-Term Traffic Speed Prediction Using Historical Traffic Speed and Predicted Weather
Shuo Wang, NVIDIA Corporation
Subhadipto Poddar, Iowa State University
Pranamesh Chakraborty, Iowa State University
Anuj Sharma, ETALYC Inc
Skylar Knickerbocker, Iowa State University
Neal Hawkins, Iowa State University
Show Abstract
20-04497
Image Processing Technique with Gaussian Mixture Models for Enhancing Length-Based and Axle-Based Vehicle Classification
Heng Wei, University of Cincinnati
Hedayat Abrishami, University of Cincinnati
Zhuo Yao, University of Cincinnati Medical Center
Show Abstract
20-04834
Vehicle Trajectory Reconstruction for Urban Arterial Under Low-Penetration Connected and Autonomous Vehicle Environment
Juyuan Yin, Tongji University
Xuejian Chen, Tongji University
Jian Sun, Tongji University
Show Abstract
20-05025
Detecting Traffic Anomalies Using a Vision-Based System
Peng Jin, University of Missouri
Xiaofan Shu, University of Missouri, Columbia
Vishal Mandal, University of Missouri
Yaw Adu-Gyamfi, University of Missouri, Columbia
Show Abstract
20-05232
Two-Stream Multi-Channel Convolutional Neural Network for Multi-Lane Traffic Speed Prediction Considering Traffic Volume Impact
Ruimin Ke, University of Washington
Wan Li, Oak Ridge National Laboratory
Zhiyong Cui, University of Washington
Yinhai Wang, University of Washington
Show Abstract
20-05410
Driving Anger Recognition Based on Convolutional Neural Network
Bowen Cai, Tongji University
Xuxin Zhang, Tongji University
Xuesong Wang, Tongji University
Show Abstract
20-05490
A Deep-Learning Framework for Freeway Speed Prediction Under Adverse Weather Conditions
Abdullah Shabarek, New Jersey Institute of Technology
Steven Chien, New Jersey Institute of Technology
Soubhi Hadri, Microsoft Corp
Show Abstract
20-05495
A Q Learning-Based Coordination of Variable Speed Limit and Hard Shoulder Running to Reduce Corridor Travel Time at Freeway Bottlenecks
Weiyi Zhou, University of Maryland
Mofeng Yang
Minha Lee
Lei Zhang, University of Maryland, College Park
Show Abstract
20-05599
A Deep-Learning Algorithm to Extract Traffic Signs from Point Cloud Data
Maged Gouda, University of Alberta
Karim El-Basyouny, University of Alberta
Alexander Epp, University of Alberta
Show Abstract
20-05608
Model Predictive Control Method for Connected Vehicle Platoon Under Switching Communication Topology
Pangwei Wang, North China University of Technology
Hui Deng, North China University of Technology
Li Wang, North China University of Technology
Mingfang Zhang, North China University of Technology
Show Abstract
20-05634
Drone-Based Vehicle Identification: An Empirical Study of Convolutional Neural Network Performance
Samuel Hislop-Lynch, University of Queensland
SangHyung Ahn, University of Queensland
Jiwon Kim, University of Queensland
Show Abstract
20-05663
Transportation Artificial Intelligence Platform for Traffic Forecasting
Zhiyong Cui, University of Washington
Mingjian Fu, University of Washington
Meixin Zhu, University of Washington
Xuegang Ban, University of Washington
Yinhai Wang, University of Washington
Show Abstract
20-05698
A Deep-Reinforcement Learning Agent with Varying Actions Strategy for Solving the Eco Approach and Departure Problem at Signalized Intersections
Saleh Mousa, Texas Department of Transportation
Sherif Ishak, Old Dominion University
Ragab Mousa, Cairo University
Julius Codjoe, Louisiana Department of Transportation and Development
Mohammed Elhenawy, Queensland University of Technology
Show Abstract
20-04447
A Machine Learning Approach for Predicting Positions of Vehicles Operating with Weak Lane Discipline Using Newly Developed Extended Trajectory Data
Narayana Raju, Sardar Vallabhbhai National Institute of Technology
Shriniwas Arkatkar, Sardar Vallabhbhai National Institute of Technology
Gaurang Joshi, Sardar Vallabhbhai National Institute of Technology
Show Abstract
20-03727
A Graph Regularized Matrix Decomposition for Missing Traffic Data Imputation
Tianyang Han, University of Tokyo
Takashi Oguchi, University of Tokyo
Shiyi Liu, University of Virginia
Show Abstract
20-04891

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