scholarly journals Estimation of the vibrational ride quality of local buses using the international roughness index (Construction of the estimate equation using big data)

2021 ◽  
Author(s):  
Takahiko ONO
Keyword(s):  
Big Data ◽  
Ride Quality ◽  
International Roughness Index ◽  
Index Construction ◽  
Roughness Index

scholarly journals A Mechanical Vibration-induced Electric Energy Generation (MVEG) and Applications to Ride Quality of Vehicles and International Roughness Index (IRI)

2019 ◽  
Vol 6 (1) ◽  
pp. 59
Author(s):  
Schun T. Uechi ◽  
Hiroshi Uechi
Keyword(s):  
Energy Harvesting ◽  
Mechanical Vibration ◽  
Electric Energy ◽  
Road Surface ◽  
Ride Quality ◽  
International Roughness Index ◽  
Information Measurement ◽  
Roughness Index ◽  
Harvesting Method

A mechanical vibration-induced, electric energy harvesting method is discussed with applications to vibration analyses of systems of vehicles, motorboats, trains, machines and bridges, etc.. The research has evolved from the analysis of International Roughness Index (IRI), which studies roughness of road-surface as longitudinal vibrational motions in a vehicle measured with a quarter-car simulation (QCS) or Global Positioning System (GPS) with sensors such as gyro sensor and magnetometer sensor. The electric energy-convertible vibrations with information of roughness of road surface are extracted by way of an mechanoelectric energy conversion, and an energy harvesting technology suitable for the system of vehicles is discussed. The mechanical vibration-induced electric current is also suitable for IRI information measurement as well as a measure for ride quality of vehicles.

Investigation and Analysis of International Roughness Index at National Freeway in Taiwan

2015 ◽  
Vol 752-753 ◽  
pp. 1206-1209
Author(s):  
Jyh Dong Lin ◽  
Po Hsun Sung ◽  
Min Che Ho ◽  
Chien Jung Shen
Keyword(s):  
Road Networks ◽  
Relevant Information ◽  
Main Subject ◽  
International Roughness Index ◽  
Comfort Index ◽  
Roughness Index ◽  
Road Testing ◽  
East West

Taiwan's National Freeway plays an important role in Taiwan's transportation, it is convenient to go to anywhere through a series of north-south and east-west road networks, from this we can see, the freeway road quality is a project that always need to be concerned, and how to enhance the pavement quality of National Freeway will be the main subject of this study.In order to improve the comfort index of National Freeway in this study, we first understand the examination part of National Freeway, like road testing items and methods, and because the need of study, we need to organize the relevant information of National Freeway road comfort index and investigation processes, with the investigation and analysis processes, it is beneficial to maintain and enhance the comfort quality of National Freeway.

Full-Car Roughness Index as Summary Roughness Statistic

2005 ◽  
Vol 1905 (1) ◽  
pp. 148-156 ◽  
Author(s):  
Renato A. C. Capuruço ◽  
Tarek Hegazy ◽  
Susan L. Tighe ◽  
Sameh Zaghloul
Keyword(s):  
Mechanical Response ◽  
Pavement Management ◽  
Ride Quality ◽  
Management Decision ◽  
International Roughness Index ◽  
Front Suspension ◽  
Car Model ◽  
Roughness Index ◽  
Wheel Model ◽  
Management Decision Making

The international roughness index (IRI) and the half-car roughness index (HRI) are the two commonly used roughness indices for pavement management, decision making, prioritization, budgeting, and planning. This work presents a new statistic, termed the full-car roughness index (FRI), for calculation of roughness from longitudinal pavement profiles. FRI is calculated from a single, equivalent profile that is a composite of four corner profiles based on both civil and mechanical engineering principles. More specifically, the full-car (four-wheel) model combines the rear and front suspension systems through an interdependent relation of motion with the longitudinal axle. To validate this model, the FRI values for different pavement sections are determined for sampling roughness measurements from several states and provinces. Then, the behavior of FRI is compared with that of IRI and HRI. The methodology of assessment uses a Monte Carlo simulation for calibration and validation of the index. Correlations derived from this sensitivity analysis on the basis of regression analysis arrive at a conversion chart to propose conversion values from these indices to FRIs. Overall, this paper suggests that the mechanical response of the proposed full-car model is more representative of the characteristics of a real vehicle than the response of a quarter- or half-car model. The results also indicate that FRI is less sensitive to the governing factors that account for the quarter-car simulation and thus provides an index that is unique, insightful, and more effective in the characterization of ride quality.

scholarly journals Impact of Pavement Roughness on Traffic Safety under Heterogeneous Traffic Conditions

2020 ◽  
Vol 17 (1) ◽  
pp. 13-19
Author(s):  
M.O. Popoola ◽  
O.A. Apampa ◽  
O. Adekitan
Keyword(s):  
Traffic Safety ◽  
Road Traffic ◽  
Heterogeneous Traffic ◽  
Ride Quality ◽  
International Roughness Index ◽  
Traffic Crash ◽  
Traffic Conditions ◽  
Pavement Roughness ◽  
Roughness Index ◽  
Transportation Agencies

H ighway safety is a major priority for public use and for transportation agencies. Pavement roughness indirectly influence drivers' concentration, vehicle operation, and road traffic accidents, and it directly affect ride quality. This study focuses on analyzing the influence of pavement roughness on traffic safety using traffic, pavement and accident data on dual and single carriageway operated under heterogeneous traffic conditions in South-west, Nigeria. Traffic crash data between 2012 and 2015 was obtained from the Federal Road Safety Commission (FRSC) and International Roughness Index (IRI) data from the Pavement Evaluation Unit of the Federal Ministry of Works, Kaduna. Crash road segments represented 63 percent of the total length of roads. IRI values for crash and non-crash segments was a close difference of 0.3,This indicates that roughness is not the only factors affecting occurrence of traffic crashes but a combination with other factors such as human error, geometric characteristics and vehicle conditions. Crash severity was categorized into Fatal, serious and minor injury crashes. In all cases, the total crash rate increases with increase in IRI value up to a critical IRI value of 4.4 and 6.15 for Sagamu-Ore road and Ilesha-Akure-Owo road respectively, wherein the crash rate dropped. The conclusion is key in improving safety concerns, if transportation agencies keep their road network below these critical pavement conditions, the crash rate would largely decrease. The study concluded that ride quality does not directly affect traffic crash rate. Keywords: Pavement conditions, traffic safety, International Roughness Index, crash rate, carriageway.

Relating Pavement Condition Index and Present Serviceability Rating for Asphalt-Surfaced Pavements

2019 ◽  
Vol 2673 (3) ◽  
pp. 308-312 ◽  
Author(s):  
James Bryce ◽  
Richard Boadi ◽  
Jonathan Groeger
Keyword(s):  
Condition Index ◽  
Ride Quality ◽  
Concrete Pavements ◽  
International Roughness Index ◽  
Pavement Condition ◽  
Transportation Funding ◽  
Surface Transportation ◽  
Roughness Index ◽  
Pavement Condition Index ◽  
Using Data

In response to the two latest transportation funding authorization bills, the Moving Ahead for Progress in the 21st Century Act and the Fixing America’s Surface Transportation Act, rules that require the reporting of specific pavement condition measures have been developed and encoded into federal regulation. Pavement performance rules published to the federal register require the reporting of the International Roughness Index (IRI), percent cracking, rutting (for asphalt-surfaced pavements) and faulting (for jointed concrete pavements). Allowing that the measurement of the IRI on pavements with a speed limit below 40 mph is not expected to provide a reliable estimation of ride quality, the rules permit the reporting of the present serviceability rating (PSR) on these routes. However, many agencies do not measure the PSR or collect the slope variance data required to estimate the PSR. In light of not having the data required to directly estimate the PSR, this paper presents a model to estimate the PSR using data collected during a Pavement Condition Index (PCI) survey. Furthermore, this paper explores the reasons why pavements can have a good PCI and poor PSR and vice versa. The model presented in this paper provides a reasonable estimate of the PSR, though it is noted that agencies who wish to report PSR should conduct an updated assessment of rider satisfaction to develop a stronger correlation of PSR and PCI.

scholarly journals A Study on the Roads Flatness Using International Roughness Index in New Taipei City

2022 ◽  
Vol 2160 (1) ◽  
pp. 012035
Author(s):  
Chun Lin ◽  
Shong Loong Chen ◽  
Chaowei Tang ◽  
Hsin Ang Hsieh
Keyword(s):  
Field Survey ◽  
Ride Comfort ◽  
Quality And Safety ◽  
International Roughness Index ◽  
Statistical Comparison ◽  
The Road ◽  
Roughness Index ◽  
Taipei City ◽  
The Subject

Abstract The quality of roads is an indicator of urban progress. The development of tourism and economy contributes to the increasing demands for transportation and, thus, aggravated burdens and vulnerability to damage of these roads, and the result is compromised transportation quality and safety. The Road Leveling Project is aimed to road updates and improvement of pavement quality. New Taipei City was selected as the subject for this study. International roughness index (IRI) was selected for field survey and statistical comparison. The outcome indicated that the IRI spread between 3.5 and 6.5 m/km before road leveling with an average of 4.71 m/km; the index fell between 2.5 and 4.5 m/km after road leveling with an average of 3.12m/km, suggesting that the IRI of the tested road sections showed a declining trend. For multi-lane road sections tested, the improvement was greater on the outer lanes than on the inner lanes. This proves that the implementation of the Road Leveling Project has made significant improvement in terms of pavement flatness. Suggestions are proposed in this study for the subsequent management and improvement polices of the Road Leveling Project, hoping that the pavement quality improvement continues to contribute to the extension of road service life and ride comfort.

Acceptability of Pavement Roughness on Urban Highways by Driving Public

2003 ◽  
Vol 1860 (1) ◽  
pp. 187-193 ◽  
Author(s):  
Kevan Shafizadeh ◽  
Fred Mannering
Keyword(s):  
Empirical Support ◽  
Past Research ◽  
Ride Quality ◽  
International Roughness Index ◽  
Pavement Roughness ◽  
Road Roughness ◽  
Roughness Index ◽  
National Highway ◽  
User Acceptability ◽  
Highway System

The driving public’s attitude toward acceptable levels of road roughness is explored using empirical data collected on urban highways. Individual driver acceptability levels are matched with international roughness index (IRI) levels to examine the existence of potential user acceptability thresholds. In particular, the observed trends are compared with the federal IRI guideline of 170 in./mi (2.7 m/km) for acceptable ride quality recommended by FHWA in its 1998 strategic plan for the National Highway System. The research reported on appears to provide empirical support for the federal IRI guidelines that are already in existence. This study also found that IRI levels provided a very good indication of driver acceptability, which agrees with past research based on antiquated present serviceability ratings.

Effects of the International Roughness Index and Rut Depth on Crash Rates

2018 ◽  
Vol 2672 (40) ◽  
pp. 418-429 ◽  
Author(s):  
Michael Mamlouk ◽  
Mounica Vinayakamurthy ◽  
B. Shane Underwood ◽  
Kamil E. Kaloush
Keyword(s):  
Pavement Management ◽  
Ride Quality ◽  
International Roughness Index ◽  
Accident Rate ◽  
Crash Data ◽  
Crash Rates ◽  
Vehicle Operation ◽  
Roughness Index ◽  
Pavement Distresses ◽  
The Relationship

Pavement distresses directly affect ride quality, and indirectly contribute to driver distraction, vehicle operation, and accidents. In this study, analysis was performed on highways in the states of Arizona, North Carolina, and Maryland to investigate the relationship between accident rate and pavement ride quality (roughness) and rut depth. Two main types of data were collected: crash data from the accident records and International Roughness Index (IRI) and rut depth data from the pavement management system database in each state. Crash rates were calculated using the U.S. Department of Transportation method, which is the number of accidents per 100 million vehicle-miles of travel. Sigmoidal function regression analysis was performed to study the relationship between crash rate and both IRI and rut depth. In all cases, the crash rate did not show substantial increases until an IRI value of 210 inches/mile or a critical rut depth of 0.4 inches. When the IRI or rut depth increased above these values the crash rate increased. This is a key conclusion that provides empirically derived thresholds for IRI and rut depth to reducing the accident rate.

Initial Ride Quality of Hot-Mix Asphalt Pavements

2005 ◽  
Vol 1907 (1) ◽  
pp. 104-112
Author(s):  
M. Stroup-Gardiner ◽  
Alan Carter ◽  
Thomas Das ◽  
Brian Bowman
Keyword(s):  
Hot Mix Asphalt ◽  
Asphalt Pavements ◽  
Ride Quality ◽  
Acceptance Testing ◽  
International Roughness Index ◽  
Wide Range ◽  
Key Issues ◽  
Lane County ◽  
Local Anomalies

Ride quality assessed with an inertial profiler on flexible pavement was used to provide initial information on the following key issues: repeatability associated with international roughness index (IRI) values for a wide range of hot-mix asphalt (HMA) material variables, timing of acceptance testing for initial ride quality, IRI changes with type of roadway, influence of stops and starts in the paving operation on ride quality, identification of “bump,” and effect of grinding on IRI. IRI was calculated for 25-ft intervals instead of the standard 0.1 mi (528 ft) for all testing to highlight local anomalies such as bumps due to paving stoppages. Results indicate that the standard deviation of three replicate passes with an inertial profiler is 5 in./mi (includes 46 HMA mixes on the Auburn University National Center for Asphalt Technology test track). IRI measurements with time suggest that initial acceptance testing can be conducted within 7 days, which allows more flexibility in scheduling by the agency. Limited traffic also slightly reduces the IRI values, which is to the contractor's advantage. IRI values are suggested for two-lane county roads and medium- to high-traffic facilities. Separate IRI ranges are indicated for each of these categories on the basis of the type of HMA construction: new, repair and overlay, and mill and overlay. These ranges are set for best and good practices (continuous paving, no stoppages; consistent supply of trucks, very short stops). IRI values greater than 125 in./mi in any given 25-ft interval indicate a bump; bumps can be ground so that these areas have IRI values of less than 100 in./mi.

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