• TRB 100th Annual Meeting

      January 24–28, 2021

    • Online Program


Annual Meeting Event Detail

Poster Session 1213

1213 - Artificial Intelligence and Machine Learning Methods for Transportation Applications (Part I)

Tuesday, January 26 2:30 PM- 4:00 PM ET
Mohamed H. Zaki, University of Central Florida
Sponsored by:
Standing Committee on Artificial Intelligence and Advanced Computing Applications (AED50)

This session presents a variety of artificial intelligence and machine learning methods and tools that have been recently applied to solve problems and improve the operation and safety in a wide spectrum of transportation applications.  

No agenda available

Title Presentation Number
Incident Duration Time Prediction Using A Supervised Topic Modeling Method
Jihyun Park, Korea Expressway Corporation
Joyoung Lee, New Jersey Institute of Technology
Branislav Dimitrijevic, New Jersey Institute of Technology
Show Abstract
Automated Detection and Quantification of Cracks and Spalls in Concrete Bridge Decks Using Deep Learning
Qianyun Zhang, University of Pittsburgh
Saeed Babanajad, Wiss, Janney, Elstner Associates, Inc.
Franklin Moon, Rutgers University
Amir Alavi, University of Pittsburgh
Show Abstract
A route choice model based on cellular automaton and bounded rationality: Empirical analysis of transportation network in Sichuan-Tibet region
Junxiang XU (1933348984@qq.com), Southwest Jiaotong University
Jin Zhang, Southwest Jiaotong University
Jingni Guo, Southwest Jiaotong University
Show Abstract
Lightweight Convolutional Neural Networks for Crowd Density Estimation
Shuo Wang (sharon_wang@njust.edu.cn), University of Washington
Ziyuan Pu, University of Washington
Qianxia Cao, Changsha University of Science and Technology
Qianmu Li, Nanjing University
Yinhai Wang, University of Washington
Show Abstract
How Does Machine Learning Compare To Conventional Econometrics For Transport Data Sets? A Test Of ML Vs MLE
Weijia (Vivian) Li, Chang'an University
Kara M. Kockelman (kkockelm@mail.utexas.edu), University of Texas, Austin
Show Abstract
Predicting Cycle-Level Traffic Movements at Signalized Intersections Using Machine Learning Models
Nada Mahmoud (nada.mahmoud@knights.ucf.edu), University of Central Florida
Mohamed Abdel-Aty, University of Central Florida
Qing Cai, University of Central Florida
Jinghui Yuan, Oak Ridge National Laboratory
Show Abstract
Restricted Exploration Problem of Reinforcement Learning-based Traffic Signal Control Model and Development of Transferable Policy using Graph Neural Networks
Jinwon Yoon, Korea Advanced Institute of Science and Technology (KAIST)
Kyuree AHN, Korea Advanced Institute of Science and Technology (KAIST)
Jinkyoo Park, Korea Advanced Institute of Science and Technology (KAIST)
Hwasoo Yeo (hwasoo@gmail.com), Korea Advanced Institute of Science and Technology (KAIST)
Show Abstract
Short-term Forecasting of on-street Parking Occupancy Using Multivariate Spatiotemporal Variable Based on Long and Short Memory
Mengqi Lv (220193110@seu.edu.cn), Southeast University
Yanjie Ji, Southeast University
Shuichao Zhang, Ningbo University of Technology
Show Abstract
A Deep Q-learning Method for Optimal Dynamic Privileged Parking Permit Policy
Yun Yuan, University of Utah
Xin Wang, University of Wisconsin, Madison
Xin Li, Dalian Maritime University
Xianfeng Yang (x.yang@utah.edu), University of Utah
Show Abstract
Sensor-based Transportation Mode Recognition Using Variational Autoencoder: Application of Smart Phone Data in the Context of P2V
Zubayer Islam (zubayer_islam@knights.ucf.edu), University of Central Florida
Mohamed Abdel-Aty, University of Central Florida
Show Abstract
Design of an Autonomous Ride-sharing Service through a Graph Embedding Integrated Dial-a-ride Problem: Application to the Last-mile Transit in Lyon City
Omar Rifki, Ecole des Mines de Saint-Etienne
Nicolas Chiabaut, Universite de Lyon
Jean-Pierre Nicolas, Universite de Lyon
Show Abstract
Optimal Travel Route Recommendation for Tourist by Ant Colony Optimization Algorithm Based on Mobile Phone Signaling Data
Haodong Sun, Beijing University of Technology
Yanyan Chen, Beijing University of Technology
Jianming Ma, Texas Department of Transportation
Xiaoming Liu, Beijing University of Technology
Show Abstract
An Interactive Covid-19 Mobility Impact and Social Distancing Analysis Platform
Lei Zhang, University of Maryland, College Park
Sepehr Ghader, University of Maryland, College Park
Michael Pack, University of Maryland, College Park
Aref Darzi, University of Maryland, College Park
Chenfeng Xiong, University of Maryland, College Park
Mofeng Yang
Qianqian Sun, University of Maryland, College Park
Aliakbar Kabiri, University of Maryland, College Park
Songhua Hu, University of Maryland
Show Abstract
Multivariate Multi-Step Train Delay Forecasting: A Hybrid LSTM-CPS Solution
Jianqing Wu, University of Wollongong
Qiang Wu, Lanzhou University
Luping Zhou, The University of Sydney
Chen Cai, DATA61
Bo Du, University of Wollongong
Yanlong Zhai, Beijing Institute of Technology
Wei Wei, Xi'an University
Jun Shen, University of Wollongong
Qingguo Zhou, Lanzhou University
Show Abstract
Pattern Recognition from Rail Grade Crossing Fatal Crashes
Subasish Das, Texas A&M University
Steven Lavrenz, Wayne State University
Lingtao Wu, Texas A&M University
Mohammad Jalayer, Rowan University
Xiaoqiang Kong, Texas A&M University, College Station
Show Abstract
Enhancing the Performance of Vehicle Passenger Detection Under Adverse Weather Conditions Using Augmented-Reality-Based Machine Learning Technology
JAEYUN LEE, GnT Solution, Inc.
SANGCHEOL KANG, GnT Solution, Inc.
JAEDEOK LIM, GnT Solution, Inc.
SEONG GEON KIM, GnT Solution, Inc.
Changmo Kim, University of California, Davis
Show Abstract
Predicting Freeway Traffic Speed using Attention-Based Multi-Encoder-Decoder Neural Networks
Amr Abdelraouf (amr.abdelraouf@knights.ucf.edu), University of Central Florida
Mohamed Abdel-Aty, University of Central Florida
Jinghui Yuan, Oak Ridge National Laboratory
Show Abstract
A Note on Random Forest Visualization Tools in Post-Hoc Interpretation of Nonparametric Real-Time Risk Assessment Models
Arash Khoda Bakhshi, University of Wyoming
Mohamed Ahmed (mahmed@uwyo.edu), University of Wyoming
Show Abstract
LSTM-based Human-Driven Vehicle Trajectory Prediction in a Connected and Autonomous Vehicle Environment
Lei Lin, University of Rochester
Siyuan Gong, Chang'an University
Srinivas Peeta, Georgia Institute of Technology (Georgia Tech)
Xia Wu, Chang'an University
Show Abstract
Personalized Short Term Trajectory Prediction Considering Car-following Behaviors
Ruibin Zhao, Southwest Jiaotong University
Ziyan Gao, Southwest Jiaotong University
Zhanbo Sun (zhanbosun12@gmail.com), Southwest Jiaotong University
Show Abstract
A Neural Network Optimal Model for Classification of Unclassified Vehicles in Weigh-in-Motion Traffic Data
Cheng Peng, Purdue University
Yi Jiang, Purdue University
Shuo Li, Indiana Department of Transportation
Tommy Nantung, Indiana Department of Transportation
Show Abstract
Recovering the Association Between Unlinked Fare Machines and Stations Using Automated Fare Collection Data in Metro Systems
Pengfei Zhang, South China University of Technology
Zhenliang Ma, Monash University
Xiaoxiong Weng, South China University of Technology
Haris Koutsopoulos, Northeastern University
Show Abstract
Two Algorithms for Measuring Attitudes using Natural Language
Monique Stinson (mstinson@anl.gov), Argonne National Laboratory
Abolfazl Mohammadian, University of Illinois, Chicago
Show Abstract
Seongjin Choi, Korea Advanced Institute of Science and Technology (KAIST)
Jiwon Kim, University of Queensland
Minju Park, Hannam University
Hwasoo Yeo (hwasoo@gmail.com), Korea Advanced Institute of Science and Technology (KAIST)
Show Abstract
Linear Regularization-based Analysis and Prediction of Human Mobility in the U.S. during the COVID-19 Pandemic
Meghna Chakraborty, Michigan State University
Md Shakir Mahmud, Michigan State University
Timothy Gates, Michigan State University
Subhrajit Sinha, Pacific Northwest National Laboratory
Show Abstract
A DRL-based Multiagent Cooperative Control Framework for CAV Networks: a Graphic Convolution Q Network
Jiqian Dong, Purdue University
Sikai Chen (chen1670@purdue.edu), Purdue University
Paul (Young Joun) Ha, Purdue University
Runjia Du, Purdue University
Yujie Li, Purdue University
Samuel Labi, Purdue University
Show Abstract
Optimal Matching Time Interval Policy for Ride-Hailing Services Using Reinforcement Learning
Guoyang Qin (2015qgy@tongji.edu.cn), Tongji University
Qi Luo, Cornell University
Yafeng Yin, University of Michigan, Ann Arbor
Jian Sun, Tongji University
Jieping Ye, DiDi AI Labs
Show Abstract

DISCLAIMER: All information shared in the TRB Annual Meeting Online Program is subject to change without notice. Changes, if necessary, will be updated in the Online Program and this page is the final authority on schedule information.