Integrating acceleration signal processing and image segmentation for condition assessment of asphalt roads

2021 ◽  
Author(s):  
William Sprague ◽  
Ehsan Rezazadeh Azar
Keyword(s):  
Semantic Segmentation ◽  
Road Maintenance ◽  
Acceleration Response ◽  
The Road ◽  
Acceleration Signal ◽  
Video Footage ◽  
Maintenance Program ◽  
Acceleration Data ◽  
Small Acceleration ◽  
Vision Module

A proactive road maintenance system enables agencies to better allocate resources to manage their road networks. An inventory of the roads’ conditions is an essential component of such maintenance program. This research project proposes a hybrid system to asses the condition of the asphalt roads, which uses a dashboard-mounted smartphone to simultaneously collect the acceleration response of a vehicle and the video footage of the road surface while driving. The system analyzes acceleration data for anomalous events that could indicate a defect. Then the computer vision module of the system applies semantic segmentation in the corresponding frame to the detected anomaly to identify defects. This system demonstrated 84% recall and 88% precision rates in detection of anomalies in two road segments. Despite these promising results, the system can only detect the defects that are passed over and it could miss some defects with small acceleration responses, such as traverse cracks.

scholarly journals INVESTIGATION INTO TRAFFIC FLOWS ON HIGH INTENSITY STREETS OF VILNIUS CITY

Transport ◽  
2010 ◽  
Vol 25 (3) ◽  
pp. 244-251 ◽  
Author(s):  
Laura Žiliūtė ◽  
Alfredas Laurinavičius ◽  
Audrius Vaitkus
Keyword(s):  
Traffic Safety ◽  
Traffic Volume ◽  
Capital City ◽  
State Enterprise ◽  
Traffic Intensity ◽  
Road Maintenance ◽  
Traffic Flows ◽  
The Road ◽  
Maintenance Program ◽  
Road Research Laboratory

The measurements and analysis of traffic intensity were performed in the capital city – Vilnius, the largest urban area in Lithuania. Vilnius is a centre of business, industry and tourism, and therefore traffic intensity remains the highest in this part of the country. The intensity of vehicle traffic is not only generally calculated but also simultaneously classified which means is divided predefining vehicles into beforehand established categories. Data on traffic flows are used in a road maintenance program for calculating and assessing air pollution, ensuring traffic safety, regulating traffic flows etc. The article presents the methods for measuring traffic intensity which are and were used for calculating traffic intensity not only in the streets of Vilnius but also across Lithuania. Data on vehicle intensity and classification are collected either using technologies (loop and tube detectors, counters and video detectors) or expressing them visually. The article presents the dynamics of changes in the traffic volume on the roads of Lithuania for the period 2000–2009. Also, this article examines traffic intensity of all transport means, including trucks in the permanent traffic volume measuring stations that were installed near the roads in Vilnius zone (data on traffic for the period 2005–2009) and the streets of Vilnius city (data on traffic for the period 2007–2009). Data on traffic intensity were obtained by the Road Research Laboratory of the Road Department of Vilnius Gediminas Technical University in cooperation with the State Enterprise Transport and Road Research Institute (TRRI).

scholarly journals ANALISIS TERHADAP IMPLEMENTASI KEBIJAKAN PENGELOLAAN JALAN DI KABUPATEN BANYUMAS

2012 ◽  
Vol 12 (2) ◽  
Author(s):  
Sri Hartini ◽  
Setiajeng Kadarsih
Keyword(s):  
Road Construction ◽  
Management Policy ◽  
Road Maintenance ◽  
The Road ◽  
Goods And Services ◽  
Maintenance Factors ◽  
Road Management ◽  
Maintenance Program ◽  
Periodic Maintenance ◽  
The Government

Basically, the management of roads expected to be able to meet the needs of safe, convenient, and efficient for transportation of goods and services. But in reality, the road management policy in the regional autonomy were still did not meet expectations. Based on the research, the policy of road management in Banyumas are roads construction and road maintenance program. Road construction are conducted to increasing and widening of roads and paving, while road maintenance are done through regular maintenance and periodic maintenance. Factors that influence the policy are legal substance that have not been set as a whole regarding the management of roads, law enforcement which still have its main office in the policyled, facility factor that were not optimal, the society that tend to release responsibility to the government, and permissive factors. Key words: policy, road management and legal factors

scholarly journals The evaluation of road maintenance programs, case study: the national road maintenance programs in West Sumatra

2018 ◽  
Vol 229 ◽  
pp. 03016
Author(s):  
Haptiwi Tri Yuniar ◽  
Bayu Martanto Adji ◽  
Benny Hidayat
Keyword(s):  
Road Maintenance ◽  
The Road ◽  
Satisfaction Index ◽  
Maintenance Program ◽  
West Sumatra ◽  
Road Width ◽  
National Road ◽  
Hierarchy Process

Currently, due to the limitation of funding, the national road maintenance programs in West Sumatra which were based on the output from IIRMS (Indonesian Integrated Road Management System) cannot be fully implemented. In order the road maintenance can be carried out effectively according to parameters considered, the ranking of roads priority must be determined. In this study, analyzes were conducted in the determination of national road maintenance priorities. The parameters used are SDI, IRI, road width, and V / C ratio. The methods used were the AHP (Analytical Hierarchy Process), IPA (Importance Performance Index) modification, and CSI (Customer Satisfaction Index) modification. In the study also evaluated the effectiveness of road maintenance program which was made by Satker P2JN, BPJN III compared to the result of the analysis. The result shows that there was still ineffectiveness of road maintenance programs made by BPJN III.

The Road Maintenance Initiative

1991 ◽  
Author(s):  
Steve Carapetis ◽  
Hernan Levy ◽  
Terje Wolden
Keyword(s):  
Road Maintenance ◽  
The Road

scholarly journals CNN-Based Road-Surface Crack Detection Model That Responds to Brightness Changes

Electronics ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1402
Author(s):  
Taehee Lee ◽  
Yeohwan Yoon ◽  
Chanjun Chun ◽  
Seungki Ryu
Keyword(s):  
Surface Crack ◽  
Autonomous Vehicles ◽  
Crack Detection ◽  
Model Performance ◽  
Semantic Segmentation ◽  
Road Surface ◽  
Image Brightness ◽  
The Road ◽  
Detection Model ◽  
Artificial Intelligence Models

Poor road-surface conditions pose a significant safety risk to vehicle operation, especially in the case of autonomous vehicles. Hence, maintenance of road surfaces will become even more important in the future. With the development of deep learning-based computer image processing technology, artificial intelligence models that evaluate road conditions are being actively researched. However, as the lighting conditions of the road surface vary depending on the weather, the model performance may degrade for an image whose brightness falls outside the range of the learned image, even for the same road. In this study, a semantic segmentation model with an autoencoder structure was developed for detecting road surface along with a CNN-based image preprocessing model. This setup ensures better road-surface crack detection by adjusting the image brightness before it is input into the road-crack detection model. When the preprocessing model was applied, the road-crack segmentation model exhibited consistent performance even under varying brightness values.

Analysis of Vehicle–Pedestrian Interactive Behaviors near Unsignalized Crosswalk

2021 ◽  
pp. 036119812199906
Author(s):  
Byeongjoon Noh ◽  
Dongho Ka ◽  
David Lee ◽  
Hwasoo Yeo
Keyword(s):  
South Korea ◽  
Traffic Accidents ◽  
Road Traffic ◽  
The Road ◽  
Video Footage ◽  
Premature Deaths ◽  
Vehicle Velocity ◽  
Behavioral Features ◽  
Velocity Changes ◽  
On The Road

Road traffic accidents are a leading cause of premature deaths and globally pose a severe threat to human lives. In particular, pedestrians crossing the road present a major cause of vehicle–pedestrian accidents in South Korea, but we lack dense behavioral data to understand the risk they face. This paper proposes a new analytical system for potential pedestrian risk scenes based on video footage obtained by road security cameras already deployed at unsignalized crosswalks. The system can automatically extract the behavioral features of vehicles and pedestrians, affecting the likelihood of potentially dangerous situations after detecting them in individual objects. With these features, we can analyze the movement patterns of vehicles and pedestrians at individual sites, and understand where potential traffic risk scenes occur frequently. Experiments were conducted on four selected behavioral features: vehicle velocity, pedestrian position, vehicle–pedestrian distance, and vehicle–crosswalk distance. Then, to show how they can be useful for monitoring the traffic behaviors on the road, the features are visualized and interpreted to show how they may or may not contribute to potential pedestrian risks at these crosswalks: (i) by analyzing vehicle velocity changes near the crosswalk when there are no pedestrians present; and (ii) analyzing vehicle velocities by vehicle–pedestrian distances when pedestrians are on the crosswalk. The feasibility of the proposed system is validated by applying the system to multiple unsignalized crosswalks in Osan city, South Korea.

scholarly journals Optimization of Performance Evaluation of Urban Road Pavement

2021 ◽  
Vol 283 ◽  
pp. 02033
Author(s):  
Ziyi Zhang ◽  
Yu Sun ◽  
Han Xu ◽  
Qiyun Zhu
Keyword(s):  
Performance Evaluation ◽  
Evaluation Model ◽  
Vital Role ◽  
Set Pair Analysis ◽  
Road Maintenance ◽  
Entropy Weight ◽  
Urban Road ◽  
The Road ◽  
Road Pavement ◽  
Pair Analysis

In recent years, urbanization has developed rapidly, and urban road play a vital role as the premise. Due to the good effectiveness of asphalt pavement, which is more popular in urban road, and road maintenance demands are also increasing. In order to make the maintenance work appropriate, accurate pavement performance evaluation is the premise. This paper collects the data of a road pavement condition in Shanghai and calculates the sub-indexes of each section. We use the entropy weight method to obtain the influence degree of each sub-index. Then we use the revised set pair analysis to construct the comprehensive performance evaluation model of urban road pavement. The analysis shows that compared with the standard method and the set pair analysis, the revised model is more objective, in line with the actual use of the road.

scholarly journals DEVELOPMENT OF VERSATILE MOBILE MAPPING SYSTEM ON A SMALL SCALE

2020 ◽  
Vol XLIII-B1-2020 ◽  
pp. 271-275
Author(s):  
T. Tachi ◽  
Y. Wang ◽  
R. Abe ◽  
T. Kato ◽  
N. Maebashi ◽  
...  
Keyword(s):  
Small Scale ◽  
Road Maintenance ◽  
Data Utilization ◽  
Mobile Mapping ◽  
The Road ◽  
Map Generation ◽  
Mapping Technology ◽  
Light Vehicle ◽  
The Difference ◽  
Asset Inventory

Abstract. Mobile mapping technology is an effective method to collect geospatial data with high point density and accuracy. It is mainly used for asset inventory and map generation, as well as road maintenance (detecting road cracks and ruts, and measuring flatness). Equipment of former mobile mapping systems (MMS) is large in size and usually installed (hard-mounted) onto dedicated vehicle. Cost-effectiveness and flexibility of MMS have not been regarded as important until Leica Pegasus series, a much smaller system with integrated and configurable components, come out. In this paper, we show you how we realize a versatile MMS with a Pegasus II loaded on a remodelled Japanese light vehicle (small size and less than a cubic capacity of 660 cc). Besides Pegasus II and data-processing PC, we equip this system with a small crane to bring the sensor onto a different platform, an electric cart to survey narrow roads or pedestrian walkway, and a boat attachment so that the sensor can be fixed on a boat. Thus, one Pegasus II can collect data from various platforms. This paper also discusses the precision and accuracy of the Pegasus II working on various platforms. When mounted on a light vehicle, we verified the accuracy of the difference with GCP and evaluated the accuracy of the road maintenance (detecting road cracks and ruts, and measuring flatness). When mounted on an electric cart, we verified the accuracy of the difference with GCP on a pedestrian road and generated road hazard map as a data utilization. When mounted on a boat, we verified the accuracy of the difference with GCP on a dam slope and created slope shading map of landslide area as a data utilization. It turns out that Pegasus II can totally achieve to required surveying-grade.

scholarly journals DETERMINING ROAD HANDLING ACCORDING TO THE LEVEL OF DAMAGE USING SURFACE DISTRESS INDEX (SDI) METHOD

ASTONJADRO ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 135
Author(s):  
Paikun Paikun ◽  
Elis Suminar ◽  
Aldi Irawan ◽  
Saiful Bahri
Keyword(s):  
Good Condition ◽  
Sampling Location ◽  
Road Maintenance ◽  
The Road ◽  
Surface Distress

<p>Roads that have been functioned are in good condition, slightly damaged, moderately damaged, and heavily damaged, therefore road maintenance is needed. Road maintenance uses costs, and the available costs are often insufficient to carry out road repairs as a whole, so it is necessary to determine the priority scale of road repairs. The Surface Distress Index (SDI) method is a method used by the DGH to determine the level of road damage, furthermore as a basis for determining the priority scale for road repairs. Along 2.25 km of Jalan Merdeka 1, Sukabumi City, it is the sampling location for the study to determine the condition of road damage. Each investigation point is determined to be 200 m long, starting from the initial STA 0 + 000 - 0 + 200 to the last STA 2 + 200 - 2 + 250. The results showed that the road conditions consisted of moderately damaged, lightly damaged to heavily damaged, so it needed maintenance at STA 0 + 000 - 0 + 400, it needed rehabilitation at STA 0 + 400 - 1 + 800 and STA 2 + 200 - 2 + 250 , as well as need reconstruction at STA 1 + 800 - STA 2 + 200. The results of this study can be used as a basis for determining road handling by policymakers.</p>

scholarly journals Towards a Rule-driven Approach for Updating Dynamic Road Segments

2012 ◽  
Vol 22 (6) ◽  
pp. 405-411
Author(s):  
Mohammad Reza Jelokhani-Niaraki ◽  
Ali Asghar Alesheikh ◽  
Abbas Alimohammadi ◽  
Abolghasem Sadeghi-Niaraki
Keyword(s):  
Data Model ◽  
Road Network ◽  
Road Maintenance ◽  
The Road ◽  
Dynamic Segmentation ◽  
Transportation Organization ◽  
Manual Tasks ◽  
The City ◽  
Transportation Applications ◽  
Road Segments

In recent years, the development of the GIS-T (Geographic Information System for Transportation) applications has gained much attention, providing the transportation planners and managers with in-depth knowledge to achieve better decisions. Needless to say, developing a successful GIS for transportation applications is highly dependent on the design of a well-structured data model. Dynamic segmentation (DS) data model is a popular one being used more and more for different GIS-T analyses, serving as a data model that splits linear features into new set of segments wherever its attributes change. In most cases, the sets of segments presenting a particular attribute change frequently. Transportation managers place great importance on having regular update and revision of segmented data to ensure correct and precise decisions are made. However, updating the segmented data manually is a difficult task and a time-consuming process to do, demanding an automatic approach. To alleviate this, the present study describes a rule-based method using topological concept to simply update road segments and replace the manual tasks that users are to carry out. The proposed approach was employed and implemented on real road network data of the City of Tehran provided by the Road Maintenance and Transportation Organization (RMTO) of Iran. The practical results demonstrated that the time, cost, human-type errors, and complexity involved in update tasks are all reduced. KEYWORDS: GIS-T, dynamic segmentation, segment, automatic update, change type, rule

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