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Nericell: rich monitoring of road and traffic conditions using mobile smartphones
Open accessAbstract
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.).
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Cited by
A Survey on Mobile Crowdsensing Systems: Challenges, Solutions, and Opportunities
Capponi, A., Fiandrino, C., Kantarci, B., Foschini, L., Kliazovich, D., & Bouvry, P. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2914030 · Cited by 594
Robust Mobile Crowd Sensing: When Deep Learning Meets Edge Computing
Zhou, Z., Liao, H., Gu, B., Huq, K. M. S., Mumtaz, S., & Rodriguez, J. (2018) · IEEE Network · doi:10.1109/mnet.2018.1700442 · Cited by 260
Insurance Telematics: Opportunities and Challenges with the Smartphone Solution
Handel, P., Skog, I., Wahlstrom, J., Bonawiede, F., Welch, R., Ohlsson, J., & Ohlsson, M. (2014) · IEEE Intelligent Transportation Systems Magazine · doi:10.1109/mits.2014.2343262 · Cited by 166
Large-Scale Distributed Dedicated- and Non-Dedicated Smart City Sensing Systems
Habibzadeh, H., Qin, Z., Soyata, T., & Kantarci, B. (2017) · IEEE Sensors Journal · doi:10.1109/jsen.2017.2725638 · Cited by 114
Low cost crowd counting using audio tones
Kannan, P. G., Venkatagiri, S. P., Chan, M. C., Ananda, A. L., & Peh, L.-S. (2012) · Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems · doi:10.1145/2426656.2426673 · Cited by 97
Metadata
- Authors
- Mohan, P., Padmanabhan, V. N., & Ramjee, R.
- Venue
- Proceedings of the 6th ACM conference on Embedded network sensor systems
- Publisher
- ACM
- Published
- 2008-11-05
- Pages
- 323-336
- OpenAlex
- W2144169341
- Cited by
- 1,267
- References
- 0
- FWCI
- 226.28
- Type
- conference paper
- Language
- en
- Open access
- green
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- Mohan, P., Padmanabhan, V. N., & Ramjee, R. (2008). Nericell: rich monitoring of road and traffic conditions using mobile smartphones. Proceedings of the 6th ACM conference on Embedded network sensor systems. https://doi.org/10.1145/1460412.1460444
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