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You searched for subject:(Traffic incident detection). Showing records 1 – 8 of 8 total matches.

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University of Texas – Austin

1. Gedela, Manoj. Deep learning framework for crash detection using Twitter data.

Degree: MSin Engineering, Operations Research & Industrial Engineering, 2019, University of Texas – Austin

Traffic crashes are one of the leading causes of deaths in the United States. Detection of traffic incidents will not only help traffic authorities deal… (more)

Subjects/Keywords: Deep learning; Incident detection; Twitter; Crash detection; Traffic accident detection; Incident detection models; City-specific crash detection models; Traffic accident data capture; Combined incident detection model

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Gedela, M. (2019). Deep learning framework for crash detection using Twitter data. (Masters Thesis). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/2963

Chicago Manual of Style (16th Edition):

Gedela, Manoj. “Deep learning framework for crash detection using Twitter data.” 2019. Masters Thesis, University of Texas – Austin. Accessed April 05, 2020. http://dx.doi.org/10.26153/tsw/2963.

MLA Handbook (7th Edition):

Gedela, Manoj. “Deep learning framework for crash detection using Twitter data.” 2019. Web. 05 Apr 2020.

Vancouver:

Gedela M. Deep learning framework for crash detection using Twitter data. [Internet] [Masters thesis]. University of Texas – Austin; 2019. [cited 2020 Apr 05]. Available from: http://dx.doi.org/10.26153/tsw/2963.

Council of Science Editors:

Gedela M. Deep learning framework for crash detection using Twitter data. [Masters Thesis]. University of Texas – Austin; 2019. Available from: http://dx.doi.org/10.26153/tsw/2963


KTH

2. Lenkei, Zsolt. Crowdsourced traffic information in traffic management : Evaluation of traffic information from Waze.

Degree: Economics and Engineering, 2018, KTH

  The early observation and elimination of non-recurring incidents is a crucial task in trafficmanagement. The performance of the conventional incident detection methods (trafficcameras and… (more)

Subjects/Keywords: Traffic incident management; Traffic monitoring; Traffic incident detection; Spatial crowdsourcing; Waze; Engineering and Technology; Teknik och teknologier

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lenkei, Z. (2018). Crowdsourced traffic information in traffic management : Evaluation of traffic information from Waze. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-239178

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lenkei, Zsolt. “Crowdsourced traffic information in traffic management : Evaluation of traffic information from Waze.” 2018. Thesis, KTH. Accessed April 05, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-239178.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lenkei, Zsolt. “Crowdsourced traffic information in traffic management : Evaluation of traffic information from Waze.” 2018. Web. 05 Apr 2020.

Vancouver:

Lenkei Z. Crowdsourced traffic information in traffic management : Evaluation of traffic information from Waze. [Internet] [Thesis]. KTH; 2018. [cited 2020 Apr 05]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-239178.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lenkei Z. Crowdsourced traffic information in traffic management : Evaluation of traffic information from Waze. [Thesis]. KTH; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-239178

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Illinois – Urbana-Champaign

3. Wang, Ren. Hybrid state estimation applications for joint traffic monitoring and incident detection.

Degree: PhD, Civil Engineering, 2015, University of Illinois – Urbana-Champaign

 This dissertation is motivated by the practical problems of highway traffic estimation and incident detection using measurements from various sensor types. It proposes a framework… (more)

Subjects/Keywords: Traffic state estimation; Traffic incident detection; Particle filter; Kalman filter; Hybrid state estimation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wang, R. (2015). Hybrid state estimation applications for joint traffic monitoring and incident detection. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/88984

Chicago Manual of Style (16th Edition):

Wang, Ren. “Hybrid state estimation applications for joint traffic monitoring and incident detection.” 2015. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed April 05, 2020. http://hdl.handle.net/2142/88984.

MLA Handbook (7th Edition):

Wang, Ren. “Hybrid state estimation applications for joint traffic monitoring and incident detection.” 2015. Web. 05 Apr 2020.

Vancouver:

Wang R. Hybrid state estimation applications for joint traffic monitoring and incident detection. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2015. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/2142/88984.

Council of Science Editors:

Wang R. Hybrid state estimation applications for joint traffic monitoring and incident detection. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/88984

4. Steur, R.J. Twitter as a spatio-temporal source for incident management.

Degree: 2015, Universiteit Utrecht

 Although Dutch highways are monitored extensively, important details about incidents are sometimes lacking or arrive late in the traffic control center. Tweets sent by traffic(more)

Subjects/Keywords: Spatio-temporal analysis; Twitter; incident detection; traffic

…responsibilities of traffic management centers is giving support to incident management services. After… …an incident occurs on the road, it is extremely important that the traffic flow stagnates… …the incident in order to take efficient measures. Traffic jams have various causes and… …the incident occurring and the alert coming in at Rijkswaterstaat (detection time)… …detection time has an influence on the overall time it takes to normalize the road traffic. The… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Steur, R. J. (2015). Twitter as a spatio-temporal source for incident management. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/303174

Chicago Manual of Style (16th Edition):

Steur, R J. “Twitter as a spatio-temporal source for incident management.” 2015. Masters Thesis, Universiteit Utrecht. Accessed April 05, 2020. http://dspace.library.uu.nl:8080/handle/1874/303174.

MLA Handbook (7th Edition):

Steur, R J. “Twitter as a spatio-temporal source for incident management.” 2015. Web. 05 Apr 2020.

Vancouver:

Steur RJ. Twitter as a spatio-temporal source for incident management. [Internet] [Masters thesis]. Universiteit Utrecht; 2015. [cited 2020 Apr 05]. Available from: http://dspace.library.uu.nl:8080/handle/1874/303174.

Council of Science Editors:

Steur RJ. Twitter as a spatio-temporal source for incident management. [Masters Thesis]. Universiteit Utrecht; 2015. Available from: http://dspace.library.uu.nl:8080/handle/1874/303174


Georgia Tech

5. Guin, Angshuman. An Incident Detection Algorithm Based On a Discrete State Propagation Model of Traffic Flow.

Degree: PhD, Civil and Environmental Engineering, 2004, Georgia Tech

 Automatic Incident Detection Algorithms (AIDA) have been part of freeway management system software from the beginnings of ITS deployment. These algorithms introduce the capability of… (more)

Subjects/Keywords: Traffic prediction; Discrete state propagation; Intelligent transportation systems; Traffic operations; Incident detection

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Guin, A. (2004). An Incident Detection Algorithm Based On a Discrete State Propagation Model of Traffic Flow. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/5040

Chicago Manual of Style (16th Edition):

Guin, Angshuman. “An Incident Detection Algorithm Based On a Discrete State Propagation Model of Traffic Flow.” 2004. Doctoral Dissertation, Georgia Tech. Accessed April 05, 2020. http://hdl.handle.net/1853/5040.

MLA Handbook (7th Edition):

Guin, Angshuman. “An Incident Detection Algorithm Based On a Discrete State Propagation Model of Traffic Flow.” 2004. Web. 05 Apr 2020.

Vancouver:

Guin A. An Incident Detection Algorithm Based On a Discrete State Propagation Model of Traffic Flow. [Internet] [Doctoral dissertation]. Georgia Tech; 2004. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/1853/5040.

Council of Science Editors:

Guin A. An Incident Detection Algorithm Based On a Discrete State Propagation Model of Traffic Flow. [Doctoral Dissertation]. Georgia Tech; 2004. Available from: http://hdl.handle.net/1853/5040

6. Imani, Hendry Nyanza. The use of real-time connected vehicles and HERE data in developing an automated freeway incident detection algorithm.

Degree: 2019, University of North Florida

Traffic incidents cause severe problems on roadways. About 6.3 million highway crashes are reported annually only in the United States, among which more than 32,000… (more)

Subjects/Keywords: Thesis; University of North Florida; UNF; Dissertations, Academic  – UNF  – Master of Science in Civil Engineering; Dissertations, Academic  – UNF  – Engineering; Automated Freeway Incident Detection; Connected Vehicles; Traffic Incident Management; Detection Rate; False Alarm Rate; Mean Time to Detect; Transportation Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Imani, H. N. (2019). The use of real-time connected vehicles and HERE data in developing an automated freeway incident detection algorithm. (Thesis). University of North Florida. Retrieved from https://digitalcommons.unf.edu/etd/929

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Imani, Hendry Nyanza. “The use of real-time connected vehicles and HERE data in developing an automated freeway incident detection algorithm.” 2019. Thesis, University of North Florida. Accessed April 05, 2020. https://digitalcommons.unf.edu/etd/929.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Imani, Hendry Nyanza. “The use of real-time connected vehicles and HERE data in developing an automated freeway incident detection algorithm.” 2019. Web. 05 Apr 2020.

Vancouver:

Imani HN. The use of real-time connected vehicles and HERE data in developing an automated freeway incident detection algorithm. [Internet] [Thesis]. University of North Florida; 2019. [cited 2020 Apr 05]. Available from: https://digitalcommons.unf.edu/etd/929.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Imani HN. The use of real-time connected vehicles and HERE data in developing an automated freeway incident detection algorithm. [Thesis]. University of North Florida; 2019. Available from: https://digitalcommons.unf.edu/etd/929

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


McMaster University

7. Lyall, Bradley Benjamin. Performance Evaluation of the McMaster Incident Detection Algorithm.

Degree: 1991, McMaster University

The McMaster incident detection algorithm is being tested on-line within the Burlington freeway traffic management system (FTMS) as an alternative to the existing California-type algorithm… (more)

Subjects/Keywords: geography; performance evaluation; McMaster incident detection algorithm; Burlington freeway traffic management system

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lyall, B. B. (1991). Performance Evaluation of the McMaster Incident Detection Algorithm. (Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/18627

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lyall, Bradley Benjamin. “Performance Evaluation of the McMaster Incident Detection Algorithm.” 1991. Thesis, McMaster University. Accessed April 05, 2020. http://hdl.handle.net/11375/18627.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lyall, Bradley Benjamin. “Performance Evaluation of the McMaster Incident Detection Algorithm.” 1991. Web. 05 Apr 2020.

Vancouver:

Lyall BB. Performance Evaluation of the McMaster Incident Detection Algorithm. [Internet] [Thesis]. McMaster University; 1991. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/11375/18627.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lyall BB. Performance Evaluation of the McMaster Incident Detection Algorithm. [Thesis]. McMaster University; 1991. Available from: http://hdl.handle.net/11375/18627

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

8. Lenkei, Zsolt. Crowdsourced traffic information in traffic management : Evaluation of traffic information from Waze.

Degree: Economics and Engineering, 2018, KTH

  The early observation and elimination of non-recurring incidents is a crucial task in traffic management. The performance of the conventional incident detection methods (traffic(more)

Subjects/Keywords: Traffic incident management; Traffic monitoring; Traffic incident detection; Spatial crowdsourcing; Waze; Transport Systems and Logistics; Transportteknik och logistik

…13 2.2. Conventional traffic incident detection… …13 2.4. Crowdsourcing in traffic incident detection… …management. (Leonard, 2017) 2.2. Conventional traffic incident detection There is a… …1998) During the last decade, the methods used in traffic incident detection have… …traffic incident detection With the growing online connectivity and popularity of the social… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lenkei, Z. (2018). Crowdsourced traffic information in traffic management : Evaluation of traffic information from Waze. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-239681

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lenkei, Zsolt. “Crowdsourced traffic information in traffic management : Evaluation of traffic information from Waze.” 2018. Thesis, KTH. Accessed April 05, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-239681.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lenkei, Zsolt. “Crowdsourced traffic information in traffic management : Evaluation of traffic information from Waze.” 2018. Web. 05 Apr 2020.

Vancouver:

Lenkei Z. Crowdsourced traffic information in traffic management : Evaluation of traffic information from Waze. [Internet] [Thesis]. KTH; 2018. [cited 2020 Apr 05]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-239681.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lenkei Z. Crowdsourced traffic information in traffic management : Evaluation of traffic information from Waze. [Thesis]. KTH; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-239681

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.