ABSTRACT
We consider the problem of monitoring road and traffic conditions in a city. Prior work in this area has required the deployment of dedicated sensors on vehicles and/or on the roadside, or the tracking of mobile phones by service providers. Furthermore, prior work has largely focused on the developed world, with its relatively simple traffic flow patterns. In fact, traffic flow in cities of the developing regions, which comprise much of the world, tends to be much more complex owing to varied road conditions (e.g., potholed roads), chaotic traffic (e.g., a lot of braking and honking), and a heterogeneous mix of vehicles (2-wheelers, 3-wheelers, cars, buses, etc.).
To monitor road and traffic conditions in such a setting, we present Nericell, a system that performs rich sensing by piggybacking on smartphones that users carry with them in normal course. In this paper, we focus specifically on the sensing component, which uses the accelerometer, microphone, GSM radio, and/or GPS sensors in these phones to detect potholes, bumps, braking, and honking. Nericell addresses several challenges including virtually reorienting the accelerometer on a phone that is at an arbitrary orientation, and performing honk detection and localization in an energy efficient manner. We also touch upon the idea of triggered sensing, where dissimilar sensors are used in tandem to conserve energy. We evaluate the effectiveness of the sensing functions in Nericell based on experiments conducted on the roads of Bangalore, with promising results.
- AirSage Wireless Signal Extraction (WiSE) Technology. http://www.airsage.com/wise.htm.Google Scholar
- Bangalore Transport Information System. http://www.btis.in/.Google Scholar
- California Center for Innovative Transportation: Traffic Surveillance. http://www.calccit.org/itsdecision/serv_and_tech/Traffic_Surveillance/surveillance_overview.html.Google Scholar
- Freescale MMA7260Q Accelerometer. http://www.sparkfun.com/datasheets/Accelerometers/MMA7260Q-Rev1.pdf.Google Scholar
- Global cellphone penetration reaches 50 pct. http://investing.reuters.co.uk/news/articleinvesting.aspx?type=media&storyID=nL29172095.Google Scholar
- HP iPAQ hw6965 Mobile Messenger Specifications. http://h10010.www1.hp.com/wwpc/au/en/ho/WF06a/1090709--1113753--1113753--1113753--1117925--12573438. html.Google Scholar
- India adds 83 mn mobile users in a year. http://timesofindia.indiatimes.com/Business/IndiaBusiness/India_adds_83_mn_mobile_users_in_a year/articleshow/2786690.cms.Google Scholar
- INRIX Dynamic Predictive Traffic. http://www.inrix.com/technology.asp.Google Scholar
- Intelligent Transportation Systems. http://www.its.dot.gov/.Google Scholar
- Mobile boom helps India reach Internet goal before time. http://economictimes.indiatimes.com/articleshow/2341785.cms.Google Scholar
- Nericell project webpage. http://research.microsoft.com/research/mns/projects/Nericell/.Google Scholar
- OnStar by GM. http://www.onstar.com/.Google Scholar
- SmartTrek:Busview. http://www.its.washington.edu/projects/busview_overview.html.Google Scholar
- SparkFun Wireless Accelerometer/Tilt Controller version 2.5. http://www.sparkfun.com/commerce/product info.php?products id= 254.Google Scholar
- Telecom Regulatory Authority of India (TRAI) Press Release, July 2008. http://www.trai.gov.in/trai/upload/PressReleases/592/pr25july08no67.pdf.Google Scholar
- D. Burke et al. Participatory Sensing. In World Sensor Web Workshop, 2006.Google Scholar
- L. Buttyan and J.-P. Hubaux. Security and Cooperation in Wireless Networks. Cambridge University Press, 2007. Google ScholarDigital Library
- R. Chandra, J. Padhye, A. Wolman, and B. Zill. A Location-based Management System for Enterprise Wireless LANs. NSDI, 2007. Google ScholarDigital Library
- R. Chang, T. Gandhi, and M. M. Trivedi. Vision Modules for a Multi-Sensory Bridge Monitoring Approach. In IEEE Intelligent Transportation Systems Conference, 2004.Google ScholarCross Ref
- M. Chen, T. Sohn, D. Chmelev, D. Haehnel, J. Hightower, J. Hughes, A. LaMarca, F. Potter, I. Smith, and A. Varshavsky. Practical Metropolitan-Scale Positioning for GSM Phones. In Ubicomp, 2006. Google ScholarDigital Library
- Y. Cheng, Y. Chawathe, A. LaMarca, and J. Krumm. Accuracy Characterization for Metropolitan-scale Wi-Fi Localization. In MobiSys, 2005. Google ScholarDigital Library
- D. J. Dailey. SmartTrek: A Model Deployment Initiative. Technical report, May 2001. Report No. WA-RD 505.1, Washington State Transportation Center (TRAC), University of Washington, http://www.wsdot.wa.gov/Research/Reports/500/505.1.htm.Google Scholar
- D. Ellis. Detecting alarm sounds. In CRAC workshop, Aalborg, Denmark, 2001.Google Scholar
- J. Eriksson, L. Girod, B. Hull, R. Newton, S. Madden, and H. Balakrishnan. The Pothole Patrol: Using a Mobile Sensor Network for Road Surface Monitoring. In MobiSys, 2008. Google ScholarDigital Library
- S. Gaonkar, J. Li, R. R. Choudhury, L. Cox, and A. Schmidt. Micro-Blog: Sharing and Querying Content through Mobile Phones and Social Participation. In MobiSys, 2008. Google ScholarDigital Library
- H. Goldstein. Classical Mechanics, 2nd Edition. Addison-Wesley, 1980. (Section 4.4 on "The Euler Angles", pp. 143--148).Google Scholar
- B. Hoh, M. Gruteser, R. Herring, J. Ban, D. Work, J.-C. Herrera, A. M. Bayen, M. Annavaram, and Q. Jacobson. Virtual trip lines for distributed privacy-preserving traffic monitoring. In MobiSys, 2008. Google ScholarDigital Library
- D. Hoiem, Y. Ke, and R. Sukthankar. SOLAR: Sound Object Localization and Retreival in Complex Audio Environments. In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2005.Google Scholar
- B. Hull, V. Bychkovsky, K. Chen, M. Goraczko, A. Miu, E. Shih, Y. Zhang, H. Balakrishnan, and S. Madden. The CarTel Mobile Sensor Computing System. In SenSys, 2006. Google ScholarDigital Library
- W. D. Jones. Forecasting Traffic Flow. IEEE Spectrum, Jan 2001. Google ScholarDigital Library
- H. Kim, N. Moreau, and T. Sikora. Audio Classification Based on MPEG-7 Spectral Basis Representations. IEEE Transactions on Circuits and Systems for Video Technology, May 2004. Google ScholarDigital Library
- A. Krause, E. Horvitz, A. Kansal, and F. Zhao. Toward Community Sensing. In ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), 2008. Google ScholarDigital Library
- J. Krumm and E. Horvitz. Predestination: Where Do You Want to Go Today? IEEE Computer Magazine, Apr 2007. Google ScholarDigital Library
- C.-T. Lu, A. P. Boedihardjo, and J. Zheng. AITVS: Advanced Interactive Traffic Visualization System. In ICDE, 2006. Google ScholarDigital Library
- P. Mohan, V. N. Padmanabhan, and R. Ramjee. Trafficsense: Rich monitoring of road and traffic conditions using mobile smartphones. Technical Report MSR-TR-2008--59, Microsoft Research, 2008.Google Scholar
- V. Otsason, A. Varshavsky, A. LaMarca, and E. de Lara. Accurate GSM Indoor Localization. In Ubicomp, 2005. Google ScholarDigital Library
- A. Rahmati and L. Zhong. Context for Wireless: Context-sensitive Energy-efficient Wireless Data Transfer. In MobiSys, 2007. Google ScholarDigital Library
- T. V. Ramachandran. How should spectrum be allocated? The Economic Times, Nov 2007. http://economictimes.indiatimes.com/Debate/How_should_spectrum_be_allocated /articleshow/2520807.cms.Google Scholar
- B. L. Smith, H. Zhang, M. Fontaine, and M. Green. Cellphone Probes as an ATMS Tool. Technical report, Jun 2003. Smart Travel Lab Report No. STL-2003--01, University of Virginia, http://ntl.bts.gov/lib/23000/23400/23431/ CellPhoneProbes-final.pdf.Google Scholar
- A. Varshavsky. Are GSM Phones THE Solution for Localization? In WMCSA, 2006. Google ScholarDigital Library
- E. W. Weisstein. Euler Angles. MathWorld -- A Wolfram Web Resource. http://mathworld.wolfram.com/EulerAngles.html.Google Scholar
- J. Yoon, B. Noble, and M. Liu. Surface Street Traffic Estimation. In MobiSys, 2007. Google ScholarDigital Library
Index Terms
- Nericell: rich monitoring of road and traffic conditions using mobile smartphones
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