This study aims to evaluate the impact of pavement physical characteristics on the frequency of single-vehicle run-off-road (ROR) crashes in two-lane separated rural highways. In order to achieve this goal and to introduce the most accurate crash prediction model (CPM), authors have tried to develop generalized linear models, including the Poisson regression (PR), negative binomial regression (...

Road infrastructure is built as an to meet needs and facilitate accessibility mobility of socio-economic activities in the community. With benefits that are so important, therefore road construction maintenance sector become a priority be researched developed planning, implementing, maintaining it. At location Jalan Khatulistiwa section, most surface conditions moderate condition recommendation...

With the passage of time, due to vehicle movement and environmental conditions, road pavement deteriorates. The accident rate increases if there is no proper maintenance deterioration. This study evaluates safety performance change in indicators on selected roads Bahawalpur, Punjab Pakistan. Three different conditions were selected, based upon their physical inspection, 5 Km length (each road)....

Government agencies and transportation engineers use pavement management systems (PMS) to evaluate performance keep above the minimum acceptable standards. The Pavement Condition Index (PCI) international roughness index (IRI) are among most commonly used indices conditions. Due IRI data collection being more accessible less expensive than collecting distress data, this study aims develop PCI m...

Riyadh City established and implemented a Pavement Maintenance Management System (PMMS) through the General Directorate of operation. The system was created to address difficulties that come with maintaining reserving pavement network. To evaluate conditions, uses visual checks, structural capacity roughness, skid resistance. An Urban Distress Index (UDI) is calculated during assessment process...

Road condition estimation based on Extended Floating Car Data (XFCD) from smart devices allows for determining given quality indicators like the international roughness index (IRI). Such approaches currently face the challenge to utilize measurements from heterogeneous sources. This paper investigates how a statistical learning based self-calibration overcomes individual sensor characteristics....

Pavement maintenance requires knowing the state of the road surface. Human inspection is the most common method for evaluating this state. Recently, the automated visual inspection has been addressed, but some important questions remain open concerning the variable ambient lighting, shadows, device synchronisation and the large amount of data. In the present paper, an automated visual inspectio...

The International Roughness Index (IRI) has been accepted globally as an essential indicator for assessing pavement condition. Laos Road Management System (RMS) utilizes a default Highway Development and (HDM-4) IRI prediction model. However, developed values have shown the need to calibrate Data records are not fully available yet, making it difficult local conditions. This paper aims develop ...

In the current paper, the effect of curling and warping, caused by environmental ambient conditions, on the initial smoothness of concrete pavements is discussed. Surface profile measurements were made during the hours of the early morning and late afternoon on an instrumented jointed plain concrete pavement ( JPCP) on highway US-30 near Marshalltown, Iowa during the first seven days after cons...