Monitoring Pavement Surface Macrotexture and Friction

2015 ◽  
Vol 2525 (1) ◽  
pp. 111-117 ◽  
Author(s):  
Nima Kargah-Ostadi ◽  
Andrew Howard

The amount of available friction and texture depth are primary concerns in the evaluation of pavement surface safety characteristics. The two components of microtexture and macrotexture provide pavement surface friction. Macrotexture properties are collected with laser-based devices at highway speeds, but a proper evaluation of microtexture is available only with stationary devices or laboratory experimental methods. The industry is trying to develop practical methods for monitoring microtexture at the network level. Pertinent quantification for both friction components is valued because the common locked-wheel testing of skid resistance depends on surface temperature, presence of dirt and oil on the road surface, and vehicle speed. This case study examined the relationship between laser-based mean profile depth (MPD) and the friction number (FN) collected with a locked-wheel skid trailer on Louisiana highways. The analysis showed that quantified microtexture data were required in conjunction with the macrotexture to establish a significant correlation with friction measurements. However, the correlation between MPD and FN appeared to be significantly stronger at higher speeds of friction testing. Lower and higher threshold values were determined from the first and third quartiles of MPD and FN data. At speeds of about 50 mph, 71% of the pavement sections with MPD of less than the lower texture threshold also had FN values of less than the lower friction threshold. This lower MPD threshold of 0.036 in. can be implemented in network-level monitoring operations to determine areas of concern that require friction testing.

2019 ◽  
Vol 15 (2) ◽  
pp. 122-135
Author(s):  
Afifah Ajeng ◽  
Vicky Agustin ◽  
Hendrata Wibisana

Vehicle speed is one of the parameters used to detect the characteristics of traffic on a road segment. Vehicle speed is a variable that determines the level of road service as well as the value of the comparison between traffic flow and vehicle density on the road section under study. This study aims to develop an appropriate algorithm that can describe the situation on the arterial road Ir. H. Soekarno about the speed of vehicles passing in it. The method used in this study is polynomial regression with vehicle speed as a dependent variable and the measurement time as a independent variable. The model is said to be good and can be represented by looking at the correlation value R2 that is in each calculated model. The results obtained from this study are that the relationship between vehicle speed and measurement time has the best results on the polynomial model level 7 for measurements in the morning and evening with the same polynomial model. This shows that the graph of the velocity of time is not linear but is a polynomial function. From this research, it can be concluded that the Ir.H.Soekarno road section has varied vehicle speed characteristics and the appropriate mathematical model algorithm is the 6th polynomial model with R2 correlation value of 0.88


2020 ◽  
Vol 6 (1) ◽  
pp. 1
Author(s):  
Herna Puji Astutik ◽  
Dewanti Dewanti

Due to the increased population, accessibility from one place to another, and effort to support economic growth, the Indonesian Central Government plans to build 71 kilometers of Yogyakarta-Bawen Toll Road. It is, however, important to state that the technical requirements of a connecting road are an integral part of the toll road construction. Therefore, this research was conducted to determine the sufficient length for the connecting road between the toll gate and existing one to reduce the investment of Toll Road Business Entity and ensure a more extended return period of concession. The data used include the vehicle speed and daily traffic on the road while the maximum length value of vehicle queue occurring in the peak hour period and interval for each type of toll gate was calculated in the modeling simulation. The results showed the satellite gate with 4 lines has 159 meters, tandem with 2 lines has 434 meters, and extending with 3 lines has 513 meters. Since all the gates have less than 2 kilometers of queue length, the stretch of the connecting road in each toll of the plan needs to be analyzed to ensure effective development


Sensors ◽  
2019 ◽  
Vol 19 (9) ◽  
pp. 2152 ◽  
Author(s):  
Olga Vl. Bitkina ◽  
Jungyoon Kim ◽  
Jangwoon Park ◽  
Jaehyun Park ◽  
Hyun K. Kim

Many previous studies have identified that physiological responses of a driver are significantly associated with driving stress. However, research is limited to identifying the effects of traffic conditions (low vs. high traffic) and road types (highway vs. city) on driving stress. The objective of this study is to quantify the relationship between driving stress and traffic conditions, and driving stress and road types, respectively. In this study, electrodermal activity (EDA) signals for a male driver were collected in real road driving conditions for 60 min a day for 21 days. To classify the levels of driving stress (low vs. high), two separate models were developed by incorporating the statistical features of the EDA signals, one for traffic conditions and the other for road types. Both models were based on the application of EDA features with the logistic regression analysis. City driving turned out to be more stressful than highway driving. Traffic conditions, defined as traffic jam also significantly affected the stress level of the driver, when using the criteria of the vehicle speed of 40 km/h and standard deviation of the speed of 20 km/h. Relevance to industry: The classification results of the two models indicate that the traffic conditions and the road types are important features for driving stress and its related applications.


2021 ◽  
Vol 13 (3) ◽  
pp. 1566
Author(s):  
Rong-Chang Jou ◽  
Ming-Che Chao

Introduction—Medical emergency vehicles help patients get to the hospital quickly. However, there were more and more ambulance crashes on the road in Taiwan during the last decade. This study investigated the characteristics of medical emergency vehicle crashes in Taiwan from January 2003 to December 2016. Methods—The ordered logit (OL) model, multinominal logit (MNL) model, and partial proportional odds (PPO) model were applied to investigate the relationship between the severity of ambulance crash injuries and its risk factors. Results—We found the various factors have different effects on the overall severity of ambulance crashes, such as ambulance drivers’ characteristics and road and weather conditions. When another car was involved in ambulance crashes, there was a disproportionate effect on the different overall severity, as found by the PPO model. Conclusions—The results showed that male ambulance drivers and car drivers who failed to yield to an ambulance had a higher risk of severe injury from ambulance crashes. Ambulance crashes are an emerging issue and need further policies and public education regarding Taiwan’s ambulance transportation safety.


2012 ◽  
Vol 253-255 ◽  
pp. 1913-1917
Author(s):  
Ze Bin Zhao

In order to reduce the negative impact of urban traffic air pollution, this paper firstly analyzes the relationship between urban traffic air pollution and vehicle speed, after providing the relationship model, the paper establishes a comprehensive pricing model of urban traffic air pollution based on bi-level programming, the model considers the traffic air pollution pricing, and includes the factors of congestion pricing, bus fee, pricing revenue redistribution on improvement of public transport services and the expansion of road capacity. The case study shows that the implementation of comprehensive pricing of urban traffic air pollution can reduce traffic pollution and unreasonable traffic flow, which is conducive to the sustainable development of the city.


2016 ◽  
Vol 43 (1) ◽  
pp. 73-83 ◽  
Author(s):  
Sahar Salimi ◽  
Somayeh Nassiri ◽  
Alireza Bayat ◽  
Don Halliday

Real Time Traction Tool (RT3)-Curve was used in this study to evaluate the effect of ice and snow on tire–road lateral friction coefficient, herein referred to as the Halliday Friction Number (HFN). The field experiments for the study were performed in winter 2012–2013 on the University of Alberta’s test road facility in Edmonton, Alberta. Each run was repeated at three target speeds under varied road conditions, bare dry, dry with ice patches, ice, and three levels of snow accumulation. No considerable correlation was found between vehicle speed and the friction measurements for bare dry, ice- and snow-covered conditions. Expectedly, the bare dry asphalt concrete surface had the highest HFN, the presence of ice reduced the dry surface friction by 55%. The accumulation of snow on the dry surface reduced the HFN further than ice, by 69, 75, and 81% for light, moderate, and heavy snow, respectively. A falling trend was observed for friction as more snow accumulated on the ground. Analysis of the effect of number of truck passes over ice at −3.5 and −5 °C showed that ice can become more slippery after each pass of traffic. A similar analysis for snow revealed that more passes over moderate snow will compact the fresh snow into a slippery surface. For light snow, even at low temperatures (<−10 °C), passes of traffic will melt the snow through frictional heat and result in higher friction values.


2021 ◽  
pp. 107-110
Author(s):  
О.О. Марокко

В статье рассматриваются некоторые социально-психологические аспекты повышения эффективности социальной рекламы в области безопасности дорожного движения. Автором отмечено, что для достижения цели субъект пропаганды дол- жен осознать взаимосвязь между его индивидуальным поведением на дороге и надежностью всей системы жизнеобеспечения. The article discuses some of the socio-psychological aspects of increasing of social advertising in the field of road safety. The author notes that in order to achieve the goal, the subject of propaganda must aware of the relationship between his individual behavior on the road and the reliability of the entire life support system.


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