Spatio-Temporal Coverage Enhancement in Drive-By Sensing Through Utility-Aware Mobile Agent Selection

Tonekaboni, Navid Hashemi; Ramaswamy, Lakshmish; Mishra, Deepak R.; Setayeshfar, Omid; Omidvar, Sorush

doi:10.1007/978-3-030-59615-6_8

Cited by 7 publications

(2 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Ali, et al [20], analyzed the real bus route dataset and proposed an approach that selects an optimal subset of bus routes to increase spatial coverage. In works [63] [65], where optimal bus set numbers were selected by analyzing the historical trajectories of buses to achieve maximum spatialtemporal coverage. Using the bus as a sensing platform introduces a range of other interesting problems, such as multi-hop calibration of bus-mounted sensors [66], and optimal data transmission.…”

Section: City Busmentioning

confidence: 99%

Drive-by Air Pollution Sensing Systems: Challenges and Future Directions

Zarrar¹,

Dyo²

2023

Preprint

View full text Add to dashboard Cite

show abstract

Section: City Busmentioning

confidence: 99%

Drive-by Air Pollution Sensing Systems: Challenges and Future Directions

Zarrar¹,

Dyo²

2023

Preprint

View full text Add to dashboard Cite

show abstract

“…At the urban level, the utilization of vehicle-borne mobile sensing not only retains the superior accuracy of ground-based sensing as demonstrated by Madeira et al (2012), but also significantly enhances the scope of monitoring coverage. Moreover, the implementation of "drive-by" mobile sensing has the potential to substantially decrease expenses (Tonekaboni et al, 2020). In the given scenario, the utilization of "drive-by" vehicle-borne mobile sensing unquestionably emerges as a commendable choice for urban monitoring, as highlighted by Anjomshoaa et al (2021).…”

mentioning

confidence: 99%

Revealing the mobile sensing powers of semi‐random and deterministic “drive‐by” vehicle fleets

Jiang,

Wang,

Yao

et al. 2023

Transactions in GIS

View full text Add to dashboard Cite

The utilization of mobile sensing through the deployment of sensors on third‐party vehicles that pass by an area offers notable benefits in terms of spatiotemporal coverage, precision, timeliness, and cost‐effectiveness for monitoring urban environments. However, the diverse travel behaviors exhibited by different types of vehicle fleets result in varying levels of sensing powers. Drawing inspiration from these phenomena, this study quantifies and compares the travel patterns and sensing powers of bus and taxi fleets. The experimental findings unveiled several noteworthy laws, such as a diminishing rate of increase in sensing power with the stable increasing vehicle number, the high sensing power exhibited by taxis, the comparable spatial coverage between buses, and the relatively low uncertainty associated with buses' sensing power. Furthermore, the impact of travel patterns (i.e., semi‐random behavior of taxis and deterministic behavior of buses) on the powers of mobile sensing was revealed. The aforementioned findings provide valuable insights for the development of efficient mobile sensing schemes and hold significant relevance for the implementation of smart city infrastructure.

show abstract

Position Paper: Proposing the Transit Heat Island Concept for Dynamic Spatio-Temporal Estimation of Urban Heat Islands in Urban Areas

Essa

Al‐Ayyoub

2020

2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)

View full text Add to dashboard Cite

Spatio-Temporal Coverage Enhancement in Drive-By Sensing Through Utility-Aware Mobile Agent Selection

Cited by 7 publications

References 12 publications

Drive-by Air Pollution Sensing Systems: Challenges and Future Directions

Drive-by Air Pollution Sensing Systems: Challenges and Future Directions

Revealing the mobile sensing powers of semi‐random and deterministic “drive‐by” vehicle fleets

Position Paper: Proposing the Transit Heat Island Concept for Dynamic Spatio-Temporal Estimation of Urban Heat Islands in Urban Areas

Contact Info

Product

Resources

About