A review on the impacts of connected vehicles on pavement management systems

ABSTRACT

The advent of connected vehicles (CVs) starts a new era in the field of pavement evaluation. With CVs on roads, the wide fleet of vehicles will constantly transmit pavement data to central servers and also share the necessary information with one another. Such a system presents opportunities for continuous, crowdsourced, and cost-effective monitoring of pavement assets and the development of pavement management databanks. This study reviewed the published studies on CV-based pavement evaluation, summarised the findings, and identified research gaps. In the published resources, 9 different applications have been proposed for CVs in the field of pavement monitoring (some applications are discussed in more than 1 resource): roughness measurement (proposed in 37.5% of resources), distress detection (31%), gathering road weather data (22%), slippery pavement recognition (19%), distress classification (12.5%), road geometry/type evaluation (9%), road amenities detection (9%), skid resistance measurement (6%), and distress intensity measurement (4.5%). The performed case studies were also scrutinised based on utilised sensors, data types, analysis methods, and connectivity messages and networks. In the end nine research subjects with no attention in the previous studies and five research subjects with insufficient attention in the published articles were identified.

KEYWORDS:

• Pavement management systems
• connected vehicles
• roughness evaluation
• distress evaluation
• safety improvement

Disclosure statement

No potential conflict of interest was reported by the author(s).