2020
DOI: 10.1155/2020/4192602
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Pavement Management Utilizing Mobile Crowd Sensing

Abstract: Pavement management, which is vital in road transportation and maintenance, is facing some troubles, such as high costs of labors and machineries, low detecting efficiency, and low update rate of pavement conditions by means of traditional detection ways. Benefiting from the development of mobile communication, mobile computing, and mobile sensing techniques, the intelligence of mobile crowd sensing (MCS), which mainly relies on ubiquitous mobile smart devices in people’s daily lives, has overcome the above dr… Show more

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Cited by 7 publications
(3 citation statements)
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“…Parameter Settings of the Reverse Auction Competing. In a fixed region where information collection is required, the group sensing system consists of information collection employees and information collection platforms [30]. In the initial state, N employees are randomly distributed in the specified region.…”
Section: Reverse Auction Competing Of the Evolution Gamementioning
confidence: 99%
“…Parameter Settings of the Reverse Auction Competing. In a fixed region where information collection is required, the group sensing system consists of information collection employees and information collection platforms [30]. In the initial state, N employees are randomly distributed in the specified region.…”
Section: Reverse Auction Competing Of the Evolution Gamementioning
confidence: 99%
“…How to achieve a game equilibrium between platforms and users is an important direction of current academic research. In addition to the above two main goals, the number of participants in each task, the number of tasks assigned by each participant, the quality of the data submitted by participants, and the total distance a participant needs to move to complete tasks are all in the selection process, which need to be considered [20]. Participant selection, as the core key issue in the field of MCS, is the focus and difficulty of current research.…”
Section: Introductionmentioning
confidence: 99%
“…Some existing reviews of the literature are limited either to a single type of crowdsourcing (for example, mobile crowd sensing (MCS), as mentioned in ref. [10] or to a certain application area for smart cities, for example, pavement management [16] or public security [17]. In summary, a systematic analysis of the existing research and trends for applying crowdsourcing in smart cities is still needed.…”
mentioning
confidence: 99%