International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B1, 2012 
XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia 
EVALUATION MODEL FOR PAVEMENT SURFACE DISTRESS 
ON 3D POINT CLOUDS FROM MOBILE MAPPING SYSTEM 
Kazuya Aoki* , Kohei Yamamoto " and Hideki Shimamura 
" Infrastructure Management Division, PASCO CORPORATION, 2-6-17 Aobadai, Aoba-ku, Yokohama, J apan 
kiakzo6013@pasco.co.jp 
? Research and Development Center, PASCO CORPORATION, 2-8-11 Higashiyama, Meguro-ku, Tokyo, Japan 
III/2: 3D Point Cloud Processing 
KEY WORDS: mobile mapping system, pavement, infrastructure management, deterioration, inspection, chow-test 
ABSTRACT: 
This paper proposes a methodology to evaluate the pavement surface distress for maintenance planning of road pavement using 3D 
point clouds from Mobile Mapping System (MMS). The issue on maintenance planning of road pavement requires scheduled 
rehabilitation activities for damaged pavement sections to keep high level of services. The importance of this performance-based 
infrastructure asset management on actual inspection data is globally recognized. Inspection methodology of road pavement surface, 
a semi-automatic measurement system utilizing inspection vehicles for measuring surface deterioration indexes, such as cracking, 
rutting and IRI, have already been introduced and capable of continuously archiving the pavement performance data. However, any 
scheduled inspection using automatic measurement vehicle needs much cost according to the instruments' specification or inspection 
interval. Therefore, implementation of road maintenance work, especially for the local government, is difficult considering cost- 
effectiveness. Based on this background, in this research, the methodologies for a simplified evaluation for pavement surface and 
assessment of damaged pavement section are proposed using 3D point clouds data to build urban 3D modelling. The simplified 
evaluation results of road surface were able to provide useful information for road administrator to find out the pavement section for 
a detailed examination and for an immediate repair work. In particular, the regularity of enumeration of 3D point clouds was 
evaluated using Chow-test and F-test model by extracting the section where the structural change of a coordinate value was 
remarkably achieved. Finally, the validity of the current methodology was investigated by conducting a case study dealing with the 
actual inspection data of the local roads. 
1. INTRODUCTION maintenance work. For example, in the case of road pavement 
maintenance work, the technology to measure index indicated 
Implementation of infrastructure asset management is the existing damaged condition of road surface semi- 
introduced as an optimal maintenance work. Infrastructure automatically, and archived database accumulated inspection 
facilities such as roads and bridges deteriorate as time advanced, result over the years has been developed. In the case of Japan, 
and it could lead to pose a risk to public safety and driver's the inspection method with higher technology is introduced in 
comfort. The deteriorated facilities Should be repaired expressway and major highway in order to keep high level of 
appropriately according to damaged conditions. However, in the services. However, in community road, it is difficult to use the 
background of maintenance work of infrastructure facilities, the automatic inspection vehicle for scheduled inspection due to 
reality is that it is not easy to conduct the maintenance work budget constraint. In practice, it depends on the visual 
sufficiently due to a severe budget constraint. It is important to inspections. 
find out the method to minimize the life cycle cost under a 
limited budget. For that purpose, we have to consider the ^ [t is unnecessary for community road which does not require a 
rational approach in all maintenance work.(Madanat,1993; high service level to measure each index such as cracking ratio, 
Madanat et al, 1994; Aoki et al, 2011) rutting depth and IRI using automatic measurement vehicle. The 
urgency in maintenance work for community road is not high 
In maintenance work of infrastructure facilities, the best way of compared to expressway and highway due to low-traffic, low- 
responding varies depending on damaged condition. The target speed of traffic and slowed deterioration speed of surface. But 
for repair is the section where deterioration progresses. Even if the road which has completed several years from construction 
the methodology to estimate the deterioration prediction is might have suffered big damage and that damaged pavement 
improved, is it impossible to predict the section where section should have been rehabilitated sufficiently. 
deterioration progresses by deterioration prediction model. 
Basically, one of the most important issues in maintenance work In this research, focussing road maintenance work, the 
of infrastructure facilities is to find out the damaged facility methodology is proposed to find out the damaged pavement 
efficiently. The maintenance plan could not been made without section for the road which does not need a highly precise 
inspection data. inspection such as community road. Specifically, undulation of 
road surface will be evaluated by statistical test model using 3D 
Many technologies about inspection of infrastructure facility point clouds from Mobile Mapping System and the 
have already developed and adopted in the actual field of methodology is proposed to extract the pavement section for the 
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