• Transportation Research Board

      TRB 98th Annual Meeting

      January 13–17, 2019

    • Interactive Program


Annual Meeting Event Detail

Poster Session 1297

Information Systems and Technology

Monday 1:30 PM- 3:15 PM
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Guohui Zhang, University of Hawaii, Manoa, presiding
Sponsored by:
Standing Committee on Information Systems and Technology (ABJ50)


No agenda available

Title Presentation Number
A Compressive Sensing Approach for Connected Vehicle Data Capture and Its Impact on Travel Time Estimation
Lei Lin, PARC Research
Weizi Li, University of North Carolina, Chapel Hill
Srinivas Peeta, Purdue University
Show Abstract
Heuristic Methods of Inertial Signal Alignment to Enhance the Detection and Localiation Accuracy of Railtrack Anomalies
Leonard Aun Chia, North Dakota State University
Bhavana Bhardwaj, North Dakota State University
Raj Bridgelall, North Dakota State University
Pan Lu, North Dakota State University
Denver Tolliver, Upper Great Plains Transportation Institute
Neeraj Dhingra, North Dakota State University
Show Abstract
Points Registration for Roadside LiDAR Sensors
Jianqing Wu, University of Nevada, Reno
Hao Xu, University of Nevada, Reno
Wei Liu, Chongqing Jiaotong University
Show Abstract
A Framework for Network-Level Pavement Condition Assessment Using Remote Sensing Data Mining
Stefanos Politis, University of Texas, Austin
Zhanmin Zhang, University of Texas, Austin
Sareh Kouchaki, University of Texas, Austin
Carlos Caldas, University of Texas, Austin
Show Abstract
Automated Data Collection and Safety Analysis at Intersections Based on a Novel Video Processing System
Qiuchen Zhang, Tongji University
Zhen Yang, Tongji University
Dazhi Sun, Texas A&M University, Kingsville
Show Abstract
A Proactive Approach for Intersection Safety Visualization Based on Real-Time Radar Sensor Data
Muting Ma, University of Louisville
Zhixia Li, University of Louisville
Show Abstract
Video Analytics for Estimating Control Delays at Signalized Intersections Based on Videos Collected by Unmanned Aerial Vehicles
Pengmin Pan, Auburn University
Chennan Xue, Auburn University
Huaguo Zhou, Auburn University
Show Abstract
An Automatic Ground Points Identification Method for Roadside LiDAR Data
Jianqing Wu, University of Nevada, Reno
Hao Xu, University of Nevada, Reno
Bin Lv, Lanzhou Jiaotong University
Rui Yue, University of Nevada, Reno
Yang Li, Beijing Institute of Petrochemical Technology
Show Abstract
Toward Compressed Indexing of OpenStreetMap Data
Pengfei Yi, Beihang University
Sebastian Wandelt, Beihang University
Xiaoqian Sun, Beihang University
Show Abstract
The Use of Aerial LiDAR in Measuring Streetscape and Street Trees
Yaneev Golombek, University of Colorado, Denver
Wesley Marshall, University of Colorado, Denver
Show Abstract
Developing an Aerial Image–Based Approach for Sidewalk Digitalization
Ji Luo, University of California, Riverside
Guoyuan Wu, University of California, Riverside
Zhensong Wei, University of California, Riverside
Kanok Boriboonsomsin, University of California, Riverside
Matthew Barth, University of California, Riverside
Show Abstract
The Use of Multi-Rotor Unmanned Aerial Vehicles for Fine-Grained, Roadside Air Quality Monitoring
Bai Li, Shanghai Jiao Tong University
Rong Cao, Shanghai Jiao Tong University
Zhanyong Wang, Fujian Agriculture and Forestry University
Rui-Feng Song, Shanghai Jiao Tong University
Zhong-Ren Peng, Shanghai Jiao Tong University
Guangli Xiu, East China University of Science and Technology
Qingyan Fu, Shanghai Environmental Monitoring Center
Show Abstract
An Advanced Framework for Traffic Parameters Estimation from UAV Video
Ruimin Ke, University of Washington
Shuo Feng, Tsinghua University
Zhiyong Cui, University of Washington
Yinhai Wang, University of Washington
Show Abstract
Microscopic Traffic Parameter Extraction from Aerial Videos with Multi-Dimensional Camera Movements
Zhibin Li, Southeast University
Xinqiang Chen, Shanghai Maritime University
Lei Ling, China Design Group Co., Ltd
Huafeng Wu, Shanghai Maritime University
Wenzhu Zhou, Southeast University
Show Abstract
Change Point Models for Real-Time V2I Cyber Attack Detection in a Connected Vehicle Environment
Gurcan Comert, Benedict College
Mizanur Rahman, Clemson University
Mhafuzul Islam, Clemson University
Mashrur Chowdhury, Clemson University
Show Abstract
A Novel Framework for Automatic Vehicle Trajectory Extraction and Denoising from Aerial Videos
Xinqiang Chen, Shanghai Maritime University
Zhibin Li, Southeast University
Yongsheng Yang, Shanghai Maritime University
Huafeng Wu, Shanghai Maritime University
Ruimin Ke, University of Washington
Wenzhu Zhou, Southeast University
Show Abstract
Expanding the Capabilities of Radar-Based Vehicle Detection Systems: Noise Characterization and Removal Procedures
Kelvin Santiago, University of Wisconsin, Madison
David Noyce, University of Wisconsin, Madison
Show Abstract
Blockchain: A Safe, Efficient Solution for Driver Privacy and Connected Vehicle Transportation Data Sharing
Yingxi Cao, New York University
Abdullah Kurkcu, New York University
Kaan Ozbay, New York University
Show Abstract
A Novel Methodology to Derive Vehicle Occupancy Using Wi-Fi Sensors Under Heterogeneous Traffic Conditions
Ninad Gore, Sardar Vallabhbhai National Institute of Technology, Surat
Shriniwas Arkatkar, Sardar Vallabhbhai National Institute of Technology, Surat
Joshi Gaurang, Sardar Vallabhbhai National Institute of Technology, Surat
Ashish Bhaskar, Queensland University of Technology
Show Abstract
Automating Traffic Video Analysis for Intersection Safety Device Programs: Two Case Studies from Canadian Cities
Mohamed Zaki, University of Central Florida
Tarek Sayed, University of British Columbia
Shewkar Ibrahim, City of Edmonton
Show Abstract
A Rubric-Driven Evaluation of Open Data Portals and Their Data in Transportation
Archana Venkatachalapathy, Iowa State University
Anuj Sharma, Iowa State University
Skylar Knickerbocker, Iowa State University
Neal Hawkins, Iowa State University
Show Abstract
Imputation of Missing Transfer Passenger Flow with Self-Measuring, Multi-Task Gaussian Process
Wenhua Jiang, Monash University
Nan Zheng, Monash University
Paul Reichl, Institute of Railway Technology
Inhi Kim, Monash University
Show Abstract
A New Method for Traffic Flow Data Collection Using Onboard Monocular Camera
Yifan Zhuang, University of Washington
Ruimin Ke, University of Washington
Yinhai Wang, University of Washington
Show Abstract
Research on Traffic Recognition Method Based on Noise Spectrum View Analysis
Qinglu Ma, Chongqing Jiaotong University
Zheng Zou, Chongqing Jiaotong University
Saleem ULLAH, Khwaja Fareed University of Engineering & Information Technology
Show Abstract
Detecting the Roadworks from OEM Sensor Data: An Application for Autonomous Vehicle
Leon Stenneth, HERE Technologies
Xuemei Chen, Beijing Institute of Technologies
Zhenhua Zhang, HERE Technologies
Show Abstract
Automated Pavement Friction Estimation Using Mobil LiDAR
Yishun Li, Tongji University
Yuchuan Du, Tongji University
Shengchuan Jiang
Yu Shen, Tongji University
Show Abstract
Detection Range Analysis of Roadside LiDAR Sensors
Junxuan Zhao, Texas Tech University
Hao Xu, University of Nevada, Reno
Jianqing Wu, University of Nevada, Reno
Ciyun Lin, Jilin University
Hongchao Liu, University of Bologna
Show Abstract
Roadside Sensing Information Enabled Horizontal Curve Crash Avoidance System
Song Wang, University of Louisville
Zhixia Li, University of Louisville
Show Abstract
Law of Sensor Errors Propagation in Sensor Location Flow-Observability Problem Based on Turning Ratios at Intersections
Minhua Shao, Tongji University
Chenyang Zhou, Tongji University
Show Abstract