An exact method for locating counting sensors in flow observability problems
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
An exact method for locating counting sensors in flow observability problems
Authors
Keywords
Sensor location, Traffic networks, Exact approach, Optimization, Hitting set problem, Partial and full observability
Journal
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
Volume 123, Issue -, Pages 102855
Publisher
Elsevier BV
Online
2021-02-03
DOI
10.1016/j.trc.2020.102855
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Optimization of Scanning and Counting Sensor Layout for Full Route Observability with a Bi-Level Programming Model
- (2018) Donghui Shan et al. SENSORS
- Plate scanning tools to obtain travel times in traffic networks
- (2017) Santos Sánchez-Cambronero et al. Journal of Intelligent Transportation Systems
- Integrating Optimal Heterogeneous Sensor Deployment and Operation Strategies for Dynamic Origin-Destination Demand Estimation
- (2017) Senlai Zhu et al. SENSORS
- Integrated Determination of Network Origin–Destination Trip Matrix and Heterogeneous Sensor Selection and Location Strategy
- (2016) Shou-Ren Hu et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Sensor Location Problem for Network Traffic Flow Derivation Based on Turning Ratios at Intersection
- (2016) Minhua Shao et al. MATHEMATICAL PROBLEMS IN ENGINEERING
- Vehicle identification sensor models for origin–destination estimation
- (2016) Majid Hadavi et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- Heterogeneous sensor location model for path reconstruction
- (2016) Chenyi Fu et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- Vehicle-ID sensor location for route flow recognition: Models and algorithms
- (2015) C. Cerrone et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- A State-of-the-Art Review of the Sensor Location, Flow Observability, Estimation, and Prediction Problems in Traffic Networks
- (2015) Enrique Castillo et al. Journal of Sensors
- Characteristics of optimal solutions to the sensor location problem
- (2014) David R. Morrison et al. ANNALS OF OPERATIONS RESEARCH
- Locating sensors to observe network arc flows: Exact and heuristic approaches
- (2014) L. Bianco et al. COMPUTERS & OPERATIONS RESEARCH
- Computational complexity analysis of the sensor location flow observability problem
- (2014) Monica Gentili et al. Optimization Letters
- Non-planar hole-generated networks and link flow observability based on link counters
- (2014) Enrique Castillo 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
- Deriving the Upper Bound of the Number of Sensors Required to Know All Link Flows in a Traffic Network
- (2013) Enrique Castillo et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- The Implicit Hitting Set Approach to Solve Combinatorial Optimization Problems with an Application to Multigenome Alignment
- (2013) Erick Moreno-Centeno et al. OPERATIONS RESEARCH
- A graphical approach to identify sensor locations for link flow inference
- (2013) Sheng-xue He 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
- Link Flow Estimation in Traffic Networks on the Basis of Link Flow Observations
- (2012) Enrique Castillo et al. Journal of 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
- Matrix Tools for General Observability Analysis in Traffic Networks
- (2010) Enrique Castillo et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Optimal Use of Plate-Scanning Resources for Route Flow Estimation in Traffic Networks
- (2010) Enrique Castillo et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- An Information-Theoretic Sensor Location Model for Traffic Origin-Destination Demand Estimation Applications
- (2010) Xuesong Zhou et al. TRANSPORTATION SCIENCE
- 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
- Trip matrix and path flow reconstruction and estimation based on plate scanning and link observations
- (2007) Enrique Castillo et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAsk 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