Application of Cluster Algorithm for Travel Speed Classification Based on Cell Phone Handoff Location

Abstract:

The noise data results from two aspects, technically, different mobile phones traveling on different roads may generate the same handover sequence; operationally, signal error in mobile communication network possibly causes wrong handover information. Second, four types of noise data are summarized, that is wrong sample data from signal error, passenger cell phone sample noise data beside roads, vehicle cell phone sample ones between parallel and overlapping roads. Third, hierarchy and K means cluster algorithms are applied with SPSS software for the collected sample data cleaning based on real handover data by try and trial to produce link travel speed, which is compared with practical traffic situation. Finally, historic loop data is used as the baseline to evaluate the accuracy compared with cleaned results.

• Periodical: Advanced Materials Research (Volumes 446-449)
• Pages: 2507-2513
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.446-449.2507
• Online since: January 2012
• Authors: Fei Yang, Zhong You Liu, Nian Zhang
• Keywords: Cell Phone Location, Cluster Algorithm, Data Classification, Handoff, Travel Speed

References

[1] INRETS, The French National Institute for Transport and Safety Research. Travel time estimates on Rhone corridor network using cellular phones as probes: Phase 1 Technology assessment and preliminary results. France: 2000.

[2] Lovell, D: Journal of Intelligent Transportation Systems. 2001, Vol. 6(4): 303~325.

[3] Brian L. Smith, Han Zhang, Michael D: Journal of Transportation Engineering, 2004, Vol.130 (5): 576~584.

[4] Johnson C R. Operational parameters affecting the use of anonymous cell phone tracking for generating traffic information. Transportation Research Board 82nd Annual Meeting. Washington, D.C.: Transportation Research Board, 2003.

[5] Transportation Studies Center University of Maryland. Final evaluation report for the CAPITAL-ITS operational test and demonstration program. College Park, Transportation Studies Center University of Maryland: 1997.

[6] Israel Feldman, Arie Trinker, Yochai Meltzer, U.S. Patent 6,587,781 B2. (2003).

[7] Kim Y B Y, Cayford R. Investigation of vehicles as probes using global positioning system and cellular phone tracking: Field operational test. Berkeley, University of California: 2001.

[8] Kirt B, Fagan K, Renner R. Development and demonstration of a system for using cell phones as traffic probes. Ottawa, ITS Office-Transport Canada, 2005.

[9] Liu Fang Yuan, Shanghai Meihui Pathfinder phone traffic forecasts. 21st Century Economic Report, February 21, 2008 (23 Edition). (In Chinese)

[10] Information on http://www.tranbbs.com/news/corporation/news_60885.shtml. (In Chinese)

[11] Chia S. T. S. The Control of Handover Initiation in Microcells. Proc. Vehicular Tech. Conf. '91, St. Louis, MO, May 19-22, 1991:531-36.

[12] Dunham M H. Data Mining Tutorial. Guochong Hui, Tian Feng accounting, Jin Xiaoming, etc. Beijing: Tsinghua University Press, 2005. (In Chinese)