• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 58 matches

• 2024
• 
  Yumin Cao, Jiarong Yao, Keshuang Tang, Qi Kang:
  Dynamic origin-destination flow estimation for urban road network solely using probe vehicle trajectory data. J. Intell. Transp. Syst. 28(5): 756-773 (2024)
• 
  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)
• 
  Mark Franz, Sara Zahedian, Dhairya Parekh, Tahsin Emtenam, Greg Jordan:
  Exploring Commercial Vehicle Detouring Patterns through the Application of Probe Trajectory Data. CoRR abs/2407.17319 (2024)
• 2023
• 
  Gurmesh Sihag, Praveen Kumar, Manoranjan Parida:
  Development of a Machine-Learning-Based Novel Framework for Travel Time Distribution Determination Using Probe Vehicle Data. Data 8(3): 60 (2023)
• 
  Ryosuke Maeda, Takuya Maruyama:
  Exploring Empty Truck Behavior Using One-Year Probe Vehicle Data. Int. J. Intell. Transp. Syst. Res. 21(3): 473-482 (2023)
• 
  Amr Abdelraouf, Mohamed A. Abdel-Aty, Nada Mahmoud:
  Sequence-to-Sequence Recurrent Graph Convolutional Networks for Traffic Estimation and Prediction Using Connected Probe Vehicle Data. IEEE Trans. Intell. Transp. Syst. 24(1): 1395-1405 (2023)
• 
  Chengchuan An, Yang He, Lin Sun, Weifeng Wang, Jingxin Xia:
  Characterizing the Uncertainty of Link Progression Speed Using Low-Frequency Probe Vehicle Data. IEEE Trans. Intell. Transp. Syst. 24(11): 11812-11822 (2023)
• 
  Erik A. Bensen, Joseph Severino, Juliette Ugirumurera, Qichao Wang, Jibonananda Sanyal, Wesley B. Jones:
  A Machine Learning Method for Real-Time Traffic State Estimation from Probe Vehicle Data. ITSC 2023: 752-757
• 
  Dohun Kim, Hongjin Kim, Sangjin Han, Wonjong Kim:
  Highway Condition Analysis and Traffic Safety Monitoring System Through Analysis of Time-Series Data from LiDAR-based Probe Vehicle. SMC 2023: 1500-1505
• 
  Juliette Ugirumurera, Joseph Severino, Erik A. Bensen, Qichao Wang, Jane MacFarlane:
  A Machine Learning Method for Predicting Traffic Signal Timing from Probe Vehicle Data. CoRR abs/2308.02370 (2023)
• 2022
• 
  Yan Zhao, Wai Wong, Jianfeng Zheng, Henry X. Liu:
  Maximum Likelihood Estimation of Probe Vehicle Penetration Rates and Queue Length Distributions From Probe Vehicle Data. IEEE Trans. Intell. Transp. Syst. 23(7): 7628-7636 (2022)
• 
  Shun Taguchi, Takayoshi Yoshimura:
  Online Estimation and Prediction of Large-Scale Network Traffic From Sparse Probe Vehicle Data. IEEE Trans. Intell. Transp. Syst. 23(7): 7233-7243 (2022)
• 2021
• 
  Fushi Lian, Bokui Chen, Kai Zhang, Lixin Miao, Jinchao Wu, Shichao Luan:
  Adaptive traffic signal control algorithms based on probe vehicle data. J. Intell. Transp. Syst. 25(1): 41-57 (2021)
• 
  Wei Ma, Sean Qian:
  High-Resolution Traffic Sensing with Probe Autonomous Vehicles: A Data-Driven Approach. Sensors 21(2): 464 (2021)
• 
  Mohammad A. Aljamal, Hossam M. Abdelghaffar, Hesham A. Rakha:
  Real-Time Estimation of Vehicle Counts on Signalized Intersection Approaches Using Probe Vehicle Data. IEEE Trans. Intell. Transp. Syst. 22(5): 2719-2729 (2021)
• 
  Lei Wei, Yunpeng Wang, Peng Chen:
  A Particle Filter-Based Approach for Vehicle Trajectory Reconstruction Using Sparse Probe Data. IEEE Trans. Intell. Transp. Syst. 22(5): 2878-2890 (2021)
• 2020
• 
  Xiaoyun Cheng, Kun Huang, Lei Qu, Li Li:
  A Cooperative Data Mining Approach for Potential Urban Rail Transit Demand Using Probe Vehicle Trajectories. IEEE Access 8: 24847-24861 (2020)
• 
  Olga Gkountouna, Dieter Pfoser, Andreas Züfle:
  Traffic Flow Estimation using Probe Vehicle Data. DSAA 2020: 579-588
• 
  Mohammad A. Aljamal, Hossam M. Abdelghaffar, Hesham A. Rakha:
  Real-time Estimation of Vehicle Counts on Signalized Intersection Approaches Using Probe Vehicle Data. CoRR abs/2001.01119 (2020)
• 2019
• 
  Yann Méneroux:
  Méthodes d'apprentissage statistique pour la détection de la signalisation routière à partir de véhicules traceurs. (Using probe vehicle data and machine learning algorithms for road signs detection). University of Paris-Est, France, 2019
• 
  Mengyun Xu, Kehua Guo, Jie Fang, Zeshan Chen:
  Utilizing Artificial Neural Network in GPS-Equipped Probe Vehicles Data- Based Travel Time Estimation. IEEE Access 7: 89412-89426 (2019)
• 
  Mohammad A. Aljamal, Hossam M. Abdelghaffar, Hesham A. Rakha:
  Developing a Neural-Kalman Filtering Approach for Estimating Traffic Stream Density Using Probe Vehicle Data. Sensors 19(19): 4325 (2019)
• 
  Davide Pietrobon, Andrew P. Lewis, Gavin S. Heverly-Coulson:
  An Algorithm for Road Closure Detection from Vehicle Probe Data. ACM Trans. Spatial Algorithms Syst. 5(2): 12:1-12:13 (2019)
• 
  Keyu Ruan, Zahra Yarmand, Renran Tian, Lingxi Li, Yaobin Chen, Feng Li, Jim Sturdevant:
  Highway End-of-Queue Alerting System Based on Probe Vehicle Data. HCI (16) 2019: 467-478
• 
  Mohammad A. Aljamal, Hossam M. Abdelghaffar, Hesham A. Rakha:
  Kalman Filter-based Vehicle Count Estimation Approach Using Probe Data: A Multi-lane Road Case Study. ITSC 2019: 4374-4379
• 
  Shohei Yasuda, Takamasa Iryo, Katsuya Sakai, Kazuya Fukushima:
  Data-oriented network aggregation for large-scale network analysis using probe-vehicle trajectories. ITSC 2019: 1677-1682
• 2018
• 
  Saurav Ranjit, Apichon Witayangkurn, Masahiko Nagai, Ryosuke Shibasaki:
  Agent-Based Modeling of Taxi Behavior Simulation with Probe Vehicle Data. ISPRS Int. J. Geo Inf. 7(5): 177 (2018)
• 2017
• 
  Zhengbing He, Liang Zheng, Peng Chen, Wei Guan:
  Mapping to Cells: A Simple Method to Extract Traffic Dynamics from Probe Vehicle Data. Comput. Aided Civ. Infrastructure Eng. 32(3): 252-267 (2017)
• 
  Richard Brunauer, Stefan Henneberger, Karl Rehrl:
  Network-wide link flow estimation through probe vehicle data supported count propagation. ITSC 2017: 1-8
• 
  Yanlei Gu, Li-Ta Hsu, Shunsuke Kamijo:
  Acquisition of precise probe vehicle data in urban city based on three-dimensional map aided GNSS. ITSC 2017: 1-7

skipping 28 more matches