Privacy-Preserving Traffic Monitoring in Vehicular Ad Hoc Networks

Yang, Chen; Qin, Bo; Zhou, Xiuwen; Sun, Yang; He, Shan; Wu, Qianhong

doi:10.1109/waina.2015.31

Cited by 4 publications

(1 citation statement)

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“…If devices which can collect privacy sensitive data is handed over for crowdsourcing, it could be a bigger threat to the society. Hence, the devices should be capable of appropriately protecting the privacy of the vehicle and the commuters on the road [ 38 , 39 ]. With the wider application of computer vision technologies for traffic monitoring, it is important to realise the impact of the approach on the commuters.…”

Section: Related Workmentioning

confidence: 99%

A Low-Cost Open Hardware System for Collecting Traffic Data Using Wi-Fi Signal Strength

Gupta

Hamzin

Degbelo

2018

Sensors

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Road traffic and its impacts affect various aspects of wellbeing with safety, congestion and pollution being of significant concern in cities. Although there have been a large number of works done in the field of traffic data collection, there are several barriers which restrict the collection of traffic data at higher resolution in the cities. Installation and maintenance costs can act as a disincentive to use existing methods (e.g., loop detectors, video analysis) at a large scale and hence limit their deployment to only a few roads of the city. This paper presents an approach for vehicle counting using a low cost, simple and easily installable system. In the proposed system, vehicles (i.e., bicycles, cars, trucks) are counted by means of variations in the WiFi signals. Experiments with the developed hardware in two different scenarios—low traffic (i.e., 400 objects) and heavy traffic roads (i.e., 1000 objects)—demonstrate its ability to detect cars and trucks. The system can be used to provide estimates of vehicle numbers for streets not covered by official traffic monitoring techniques in future smart cities.

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Section: Related Workmentioning

confidence: 99%