Transportation mode detection using cumulative acoustic sensing and analysis

doi:10.1007/s11704-019-9200-3

Front. Comput. Sci.

2021, Vol. 15

Issue (1) : 151311 https://doi.org/10.1007/s11704-019-9200-3

LETTER

Transportation mode detection using cumulative acoustic sensing and analysis

Dinesh VIJ(

), Naveen AGGARWAL

University Institute of Engineering and Technology, Panjab University, Chandigarh 160014, India

Download: PDF(288 KB)
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks

Corresponding Author(s): Dinesh VIJ

Just Accepted Date: 15 October 2019 Issue Date: 24 September 2020

Cite this article:

Dinesh VIJ,Naveen AGGARWAL. Transportation mode detection using cumulative acoustic sensing and analysis[J]. Front. Comput. Sci., 2021, 15(1): 151311.

URL:

https://academic.hep.com.cn/fcs/EN/10.1007/s11704-019-9200-3
https://academic.hep.com.cn/fcs/EN/Y2021/V15/I1/151311

1	S Reddy, M Mun, J Burke, D Estrin, M Hansen, M Srivastava. Using mobile phones to determine transportation modes. ACM Transactions on Sensor Networks, 2010, 6(2): 13 https://doi.org/10.1145/1689239.1689243
2	S Hemminki, P Nurmi, S Tarkoma. Accelerometer-based transportation mode detection on smartphones. In: Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems. 2013 https://doi.org/10.1145/2517351.2517367
3	B Assemi, H Safi, M Mesbah, L Ferreira. Developing and validating a statistical model for travel mode identification on smartphones. IEEE Transactions on Intelligent Transportation Systems, 2016, 17(7): 1920–1931 https://doi.org/10.1109/TITS.2016.2516252
4	D Shin, D Aliaga, B Tunçer, SM Arisona, S Kim, D Zünd, G Schmitt. Urban sensing: using smartphones for transportation mode classification. Computers Environment and Urban Systems, 2015, 53: 76–86 https://doi.org/10.1016/j.compenvurbsys.2014.07.011
5	A Bolbol, T Cheng, I Tsapakis, J Haworth. Inferring hybrid transportation modes from sparse GPS data using amoving window SVM classification. Computers Environment and Urban Systems, 2012, 36(6): 526–537 https://doi.org/10.1016/j.compenvurbsys.2012.06.001
6	S Garg, P Singh, P Ramanathan, R Sen. VividhaVahana: smartphone based vehicle classification and its applications in developing region. In: Proceedings of the 11th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services. 2014, 364–373 https://doi.org/10.4108/icst.mobiquitous.2014.257982
7	D Vij, N Aggarwal. Smartphone based traffic state detection using acoustic analysis and crowdsourcing. Applied Acoustics, 2018, 138: 80–91 https://doi.org/10.1016/j.apacoust.2018.03.029

[1]	Article highlights 1	Download
[2]	Article highlights 2	Download

Viewed

Full text

Abstract

Cited

Shared

Discussed