Nericell: rich monitoring of road and traffic conditions. 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.

References in zbMATH (referenced in 7 articles )

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  1. Zhan, Yufeng; Xia, Yuanqing; Zhang, Jiang; Li, Ting; Wang, Yu: An incentive mechanism design for mobile crowdsensing with demand uncertainties (2020)
  2. Wang, Zhen; Zhu, Jinghua; Li, Doudou: Prediction based reverse auction incentive mechanism for mobile crowdsensing system (2019)
  3. Fry, John; Binner, Jane M.: Elementary modelling and behavioural analysis for emergency evacuations using social media (2016)
  4. Jeong, Young-Sik; Park, Jong Hyuk: Adaptive network-based fuzzy inference model on CPS for large scale intelligent and cooperative surveillance (2013) ioport
  5. Shin, Minho; Cornelius, Cory; Peebles, Dan; Kapadia, Apu; Kotz, David; Triandopoulos, Nikos: Anonysense: a system for anonymous opportunistic sensing (2011) ioport
  6. Wu, Fang-Jing; Kao, Yu-Fen; Tseng, Yu-Chee: From wireless sensor networks towards cyber physical systems (2011) ioport
  7. Rice, Andrew; Hay, Simon: Measuring mobile phone energy consumption for 802.11 wireless networking (2010) ioport