Modeling the effect of sensor failure on the location of counting sensors for origin-destination (OD) estimation
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Modeling the effect of sensor failure on the location of counting sensors for origin-destination (OD) estimation
Authors
Keywords
-
Journal
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
Volume 132, Issue -, Pages 103367
Publisher
Elsevier BV
Online
2021-09-15
DOI
10.1016/j.trc.2021.103367
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- An exact method for locating counting sensors in flow observability problems
- (2021) Paul Rubin et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Improving the accuracy and efficiency of online calibration for simulation-based Dynamic Traffic Assignment
- (2021) Haizheng Zhang et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Day-to-day dynamic origin–destination flow estimation using connected vehicle trajectories and automatic vehicle identification data
- (2021) Yumin Cao et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Optimization of traffic sensor location for complete link flow observability in traffic network considering sensor failure
- (2019) Mostafa Salari et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- Inferring dynamic origin-destination flows by transport mode using mobile phone data
- (2019) Danya Bachir et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Optimization of traffic count locations for estimation of travel demands with covariance between origin-destination flows
- (2019) Hao Fu et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- PC–SPSA: Employing Dimensionality Reduction to Limit SPSA Search Noise in DTA Model Calibration
- (2019) Moeid Qurashi et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Exploiting floating car data for time-dependent Origin–Destination matrices estimation
- (2018) Marialisa Nigro et al. Journal of Intelligent Transportation Systems
- Vehicle identification sensors location problem for large networks
- (2018) Majid Hadavi et al. Journal of Intelligent Transportation Systems
- Dynamic origin-destination matrix calibration for large-scale network simulators
- (2018) Carolina Osorio TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Travel time estimation oriented freeway sensor placement problem considering sensor failure
- (2016) Ning Zhu et al. Journal of Intelligent Transportation Systems
- Vehicle identification sensor models for origin–destination estimation
- (2016) Majid Hadavi et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- Robust network sensor location for complete link flow observability under uncertainty
- (2016) Xiangdong Xu et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- Heterogeneous sensor location model for path reconstruction
- (2016) Chenyi Fu et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- A probabilistic optimization model for allocating freeway sensors
- (2016) Adam Danczyk et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Updating origin–destination matrices with aggregated data of GPS traces
- (2016) Qian Ge et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Vehicle-ID sensor location for route flow recognition: Models and algorithms
- (2015) C. Cerrone et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- An enhanced SPSA algorithm for the calibration of Dynamic Traffic Assignment models
- (2015) Lu Lu et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Assessing partial observability in network sensor location problems
- (2014) Francesco Viti et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- A generalized sensor location model for the estimation of network origin–destination matrices
- (2014) Shou-Ren Hu et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Quasi-dynamic estimation of o–d flows from traffic counts: Formulation, statistical validation and performance analysis on real data
- (2013) Ennio Cascetta et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- Partial link flow observability in the presence of initial sensors: Solution without path enumeration
- (2013) ManWo Ng TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
- Sensitivity Analysis of an Evolutionary-Based Time-Dependent Origin/Destination Estimation Framework
- (2012) Lina Kattan et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Synergistic sensor location for link flow inference without path enumeration: A node-based approach
- (2012) ManWo Ng TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- Locating sensors on traffic networks: Models, challenges and research opportunities
- (2012) M. Gentili et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- An Information-Theoretic Sensor Location Model for Traffic Origin-Destination Demand Estimation Applications
- (2010) Xuesong Zhou et al. TRANSPORTATION SCIENCE
- Identification of vehicle sensor locations for link-based network traffic applications
- (2009) Shou-Ren Hu et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- Optimal traffic plate scanning location for OD trip matrix and route estimation in road networks
- (2009) R. Mínguez et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- The Observability Problem in Traffic Network Models
- (2008) Enrique Castillo et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started