SIM-RPM: Secure Incentive Mechanism for Crowdsourcing-Based Road Pavement Monitoring System

2018 ◽  
Vol 103 (2) ◽  
pp. 1375-1390
Author(s):  
Changsheng Wan ◽  
Juan Zhang
2019 ◽  
Vol 262 ◽  
pp. 05012 ◽  
Author(s):  
Marcin Staniek

The paper addresses a road pavement diagnostics solution created as a sub-module of the S-mileSys platform developed as a part the S-mile project, implemented under the “Sustainable Logistic and Supply Chain” competition of the ERANET Transport III programme. The S-mileSys solution was conceived as a means to support transport companies and their clients in planning, organisation and delivery of freight transport related services, but also to support local authorities and road administration bodies in matters related to road infrastructure maintenance and traffic management within cities or agglomerations. In principle, as typical transfers are made in connection with freight transport, the process of continuous road pavement monitoring and assessment is performed in a manner which does not involve interference of either vehicle drivers or employees of transport companies or logistics centres. The measuring system’s operation is essentially based on identification of values of linear accelerations recorded while vehicles traverse the road network. ICT solutions are used to send characteristics describing the vehicle motion dynamics, determined by the road pavement condition, to the S-mileSys system’s server, where, based on analysis of linear acceleration signals in a three-dimensional description of space and by taking GPS positioning into consideration, the current road pavement condition is estimated.


2020 ◽  
Vol 5 (2) ◽  
pp. 18 ◽  
Author(s):  
Maria Barriera ◽  
Simon Pouget ◽  
Bérengère Lebental ◽  
Julien Van Rompu

The assessment of pavement conditions and their evolution with time is a crucial component for the establishment of pavement quality management (QM) plans and the implementation of QM practices. An effective pavement management system (PMS) is based on pavement conditions data continuously collected along the lifetime of a road. These data are used to model the pavement response, evaluate its performances, and trigger the necessary maintenance actions when they do not meet previously defined performance indicators. In the last decades, pavement monitoring via embedded sensing technologies has attracted more and more attention. Indeed, the integration of sensors in the road pavement allows the assessment of the complete history of pavement conditions, starting from sensor installation. Once the technologies are stabilized, collecting this information is expected to help road managers to define more effective asset management plans. This paper first proposes an overview of the most used devices for pavement instrumentation, categorized according to the measured parameters. Then a review of some prominent instrumented sections is presented by focusing on the methodology used for data interpretation.


Sign in / Sign up

Export Citation Format

Share Document