The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
A review of conflict detection and resolution modeling methods
Abstract
A number of methods have been proposed to automate air traffic conflict detection and resolution (CDR), but there has been little cohesive discussion or comparative evaluation of approaches. The paper presents a survey of 68 CDR modeling methods, several of which are currently in use or under operational evaluation. A framework that articulates the basic functions of CDR is used to categorize the models. The taxonomy includes: dimensions of state information (vertical, horizontal, or three-dimensional, 3-D); method of dynamic state propagation (nominal, worst case, or probabilistic); conflict detection threshold; conflict resolution method (prescribed, optimized, force field, or manual); maneuvering dimensions (speed change, lateral, vertical, or combined manoeuvres); and management of multiple aircraft conflicts (pairwise or global). An overview of important considerations for these and other CDR functions is provided, and the current system design process is critiqued.
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Cites
Conflict resolution for air traffic management: a study in multiagent hybrid systems
Tomlin, C., Pappas, G. J., & Sastry, S. (1998) · IEEE Transactions on Automatic Control · doi:10.1109/9.664154 · Cited by 1,042
Obstacle avoidance in a dynamic environment: a collision cone approach
Chakravarthy, A., & Ghose, D. (1998) · IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans · doi:10.1109/3468.709600 · Cited by 556
Conflict Probability Estimation for Free Flight
Paielli, R. A., & Erzberger, H. (1997) · Journal of Guidance, Control, and Dynamics · doi:10.2514/2.4081 · Cited by 397
Resolution of Conflicts Involving Many Aircraft via Semidefinite Programming
Frazzoli, E., Mao, Z.-H., Oh, J.-H., & Feron, E. (2001) · Journal of Guidance, Control, and Dynamics · doi:10.2514/2.4678 · Cited by 269
Prototype Conflict Alerting System for Free Flight
Yang, L., & Kuchar, J. K. (1997) · Journal of Guidance Control and Dynamics · doi:10.2514/2.4111 · Cited by 120
Self-citationExisting and Required Modeling Capabilities for Evaluating ATM Systems and Concepts
Odoni, A. R., Bowman, J., Delahaye, D., Deyst, J. J., Féron, É., Hansman, R. J., Khan, K. A., Kuchar, J. K., Pujet, N., & Simpson, R. W. (1997) · DSpace@MIT (Massachusetts Institute of Technology) · Cited by 111
Self-citationSurvey of conflict detection and resolution modeling methods
Kuchar, J. K., Yang, L., Kuchar, J. K., et al. (1997) · Guidance, Navigation and Control Conference · doi:10.2514/6.1997-3732 · Cited by 108
Self-citationStrategic conflict detection and resolution for free flight
Krozel, J. A., & Peters, M. (2002) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc.1997.657844 · Cited by 95
A self-organizational approach for resolving air traffic conflicts
Eby, M. S. (1995) · doi:10.5555/212143.212152 · Cited by 86
Using intent information in probabilistic conflict analysis
Yang, L., & Kuchar, J. K. (1998) · AIAA Guidance, Navigation, and Control Conference and Exhibit · doi:10.2514/6.1998-4237 · Cited by 58
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Cited by
Hoy, M., Matveev, A. S., & Savkin, A. V. (2015) · Robotica · doi:10.1017/s0263574714000289 · Cited by 469
Ship collision avoidance methods: State-of-the-art
Huang, Y., Chen, L., Chen, P., Negenborn, R. R., & van Gelder, P. H. A. J. M. (2020) · Safety Science · doi:10.1016/j.ssci.2019.09.018 · Cited by 431
Applications of operations research in the air transport industry
Barnhart, C., Belobaba, P., & Odoni, A. R. (2003) · Transportation Science · doi:10.1287/trsc.37.4.368.23276 · Cited by 309
Sense and avoid technologies with applications to unmanned aircraft systems: Review and prospects
Yu, X., & Zhang, Y. (2015) · Progress in Aerospace Sciences · doi:10.1016/j.paerosci.2015.01.001 · Cited by 301
Shakeri, R., Al-Garadi, M. A., Badawy, A., Mohamed, A., Khattab, T., Al-Ali, A. K., Harras, K. A., & Guizani, M. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2924143 · Cited by 295
Metadata
- Authors
- Kuchar, J. K., & Yang, L. C.
- Venue
- IEEE Transactions on Intelligent Transportation Systems
- Published
- 2000
- Volume
- 1
- Issue
- 4
- Pages
- 179-189
- ISSN
- 1524-9050 (ISSN-L)
- OpenAlex
- W2124497430
- Cited by
- 1,069
- References
- 19
- FWCI
- 46.44
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
