Trip-based mobile sensor deployment for drive-by sensing with bus fleets

Ji, Wen; Han, Ke; Liu, Tao

doi:10.1016/j.trc.2023.104404

Transportation Research Part C: Emerging Technologies

2023

DOI: 10.1016/j.trc.2023.104404

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Trip-based mobile sensor deployment for drive-by sensing with bus fleets

Wen Ji,

Ke Han,

Tao Liu

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2024

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Cited by 3 publications

References 38 publications

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Exploring the sensing power of mixed vehicle fleets

Han,

Ji,

Nie

et al. 2024

Transportation Research Part B: Methodological

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Exploring the sensing power of mixed vehicle fleets

Han,

Ji,

Nie

et al. 2024

Transportation Research Part B: Methodological

View full text Add to dashboard Cite

Optimal Drive-By Sensing in Urban Road Networks With Large-Scale Ridesourcing Vehicles

Guo,

Qian

2024

IEEE Trans. Intell. Transport. Syst.

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Advancements in Mobile-Based Air Pollution Detection: From Literature Review to Practical Implementation

Sladojevic,

Arsenovic,

Nikolic

et al. 2024

Journal of Sensors

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The aim of this paper is to investigate the effectiveness of combining mobile technologies and sensors to detect harmful particles in the air and address the problem of air pollution caused by traffic and exhaust emissions. The paper contains a systematic literature review of information technology research related to pollution detection in order to point out the main obstacles in the field and propose solutions. Furthermore, the paper presents the development of an Android smartphone-based real-time monitoring system that utilizes an external analog sensor board to acquire and evaluate physical measurements. The proposed system is calibrated for CO gas measurements, and it is compared with a commercial gas analyzer instrument. Results imply that the developed system is capable of detecting concentration levels in the air and that the accuracy is within the range of the industrial device’s accuracy.

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Trip-based mobile sensor deployment for drive-by sensing with bus fleets

Cited by 3 publications

References 38 publications

Exploring the sensing power of mixed vehicle fleets

Exploring the sensing power of mixed vehicle fleets

Optimal Drive-By Sensing in Urban Road Networks With Large-Scale Ridesourcing Vehicles

Advancements in Mobile-Based Air Pollution Detection: From Literature Review to Practical Implementation

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