A Fusion Navigation of Double Laser Radar for Intelligent Vehicle

2011 ◽  
Vol 346 ◽  
pp. 711-718 ◽  
Author(s):  
Li Xia Meng ◽  
Fu Chun Sun ◽  
Hua Ping Liu ◽  
Tao Chu
Keyword(s):  
Field Method ◽  
Road Surface ◽  
Laser Radar ◽  
Intelligent Vehicle ◽  
Height Difference ◽  
The Road ◽  
Potential Field Method ◽  
Regular Shape ◽  
The Impact ◽  
Navigation Method

A navigation method is presented for intelligent vehicle based on fusion of double laser radar. Given laser radar model and road curb model, road curbs are detected by one laser radar tilt-mounted on the intelligent vehicle, and they restrict the vehicle to travel inside the road surface. First, obstacle information from two laser radar are unified to same reference frame and fused, then they are implemented using angle potential field method, the best navigation angle is computed under the road curb restriction. Experiments show the algorithm works well in spite of road-boundary has regular shape or not, and is free from the impact of height difference of the road curb and road surface.

scholarly journals Laboratory experiment on the nano-TiO2 photocatalytic degradation effect of road surface oil pollution

2020 ◽  
Vol 9 (1) ◽  
pp. 922-933
Author(s):  
Qing’e Wang ◽  
Kai Zheng ◽  
Huanan Yu ◽  
Luwei Zhao ◽  
Xuan Zhu ◽  
...  
Keyword(s):  
Photocatalytic Degradation ◽  
Oil Pollution ◽  
Road Surface ◽  
Test Method ◽  
Driving Safety ◽  
The Road ◽  
Road Surfaces ◽  
The Many ◽  
The Impact ◽  
Degradation Effect

AbstractOil leak from vehicles is one of the most common pollution types of the road. The spilled oil could be retained on the surface and spread in the air voids of the road, which results in a decrease in the friction coefficient of the road, affects driving safety, and causes damage to pavement materials over time. Photocatalytic degradation through nano-TiO2 is a safe, long-lasting, and sustainable technology among the many methods for treating oil contamination on road surfaces. In this study, the nano-TiO2 photocatalytic degradation effect of road surface oil pollution was evaluated through the lab experiment. First, a glass dish was used as a substrate to determine the basic working condition of the test; then, a test method considering the impact of different oil erosion degrees was proposed to eliminate the effect of oil erosion on asphalt pavement and leakage on cement pavement, which led to the development of a lab test method for the nano-TiO2 photocatalytic degradation effect of oil pollution on different road surfaces.

scholarly journals Application of Mixed Linear Models in the Analysis of Road Surface Features

2015 ◽  
Vol 54 (1) ◽  
pp. 101-109 ◽  
Author(s):  
Jurgita Židanavičiūtė ◽  
Audrius Vaitkus
Keyword(s):  
Linear Models ◽  
Road Surface ◽  
Linear Regression Models ◽  
Mixed Linear Models ◽  
Time Intervals ◽  
Surface Strength ◽  
The Road ◽  
Unequally Spaced ◽  
Units Of Analysis ◽  
The Impact

The data were collected by researchers at the Road Research Institute, in a study investigating the impact of differentfactors on road surface strength. In this statistical analysis, we apply linear mixed models (LMMs) to clustered longitudinal data, inwhich the units of analysis (points in the road) are nested within clusters (sample of four different road segments), and repeatedmeasures of road strength in these different points are collected over time with unequally spaced time intervals. The data arebalanced – each cluster has the same number of units, which are measured at the same number of time points. Because of correlateddata and different clusters in which data could be correlated, linear regression models are not appropriate here, and therefore linearmixed models are applied.

Intelligent Vehicle Path Planning Based on Improved Artificial Potential Field Method

2015 ◽  
Vol 742 ◽  
pp. 349-354 ◽  
Author(s):  
Zhou Pan ◽  
Jia Qi Li ◽  
Kai Min Hu ◽  
Hao Zhu
Keyword(s):  
Path Planning ◽  
Potential Field ◽  
Fuzzy Controller ◽  
Field Method ◽  
Intelligent Vehicle ◽  
Artificial Potential Field ◽  
Minimum Problem ◽  
Potential Field Method ◽  
Vehicle Path ◽  
Artificial Potential Field Method

Aiming at the path planning for intelligent vehicle in complex environment, local minimum problem is solved by the way of setting a virtual barrier point. And fuzzy controller is designed to make up some inherent shortcomings of artificial potential field method and safeguards the reliability of the path planning and path smoothness.

The Carbon Emission Quantification of the Low Carbon Road Maintenance Technology in China

2012 ◽  
Vol 260-261 ◽  
pp. 833-840 ◽  
Author(s):  
Ke Zhou ◽  
Yim Wong ◽  
Xi Juan Xu ◽  
Cha Ren Ce Chiang ◽  
Hui Cong Zhang
Keyword(s):  
Surface Quality ◽  
Carbon Emission ◽  
Transportation Policy ◽  
Road Surface ◽  
Road Maintenance ◽  
Low Carbon ◽  
The Road ◽  
The Right ◽  
The Impact ◽  
Maintenance Process

Low carbon road maintenance( hereinafter referred to as LCRM) technology is an important and essential part of the overall low carbon transportation policy in China. The large amount of carbon emission resulting from road maintenance needs to be determined with definitive methods and data to form a basis of measurement of the carbon emission of the road maintenance process. Various road surface maintenance technologies have different environmental impacts and dissimilar levels of carbon emission. When comparing the merits and drawbacks of the various maintenance technologies, not only factors such as the maintenance outcome, road surface quality, serviceable lifespan, costs and the impact on traffic and environment should be evaluated, but also other factors, such as carbon emission of the material used for the maintenance process, carbon emission of the machinery deployed and other amounts released during construction, have to be assessed and measured. This paper will allow for a comprehensive analysis that will help to choose the right road surface maintenance technology that produces the best road surface quality, the optimal economic benefit and the most favourable social and environmental outcome. LCRM protocol should be regulated and promoted by government legislation and through which adoption of the best practices would be encouraged.

Experimental Investigation of Tire Slap Noise

2018 ◽  
Vol 46 (1) ◽  
pp. 38-52
Author(s):  
Rui Cao ◽  
J. Stuart Bolton
Keyword(s):  
High Frequency ◽  
Sound Intensity ◽  
Road Surface ◽  
Structural Vibration ◽  
Vehicle Interior ◽  
Tire Noise ◽  
The Road ◽  
On The Road ◽  
The Impact ◽  
Surface Noise

ABSTRACT Tire noise is an important issue both in the vehicle interior and to the vehicle exterior, since it affects passenger comfort and environmental noise levels, respectively. Such noise is increased when a tire encounters discontinuities on the road surface, the discontinuity being either a gap or a bump. The relatively high frequency (e.g., approximately 1 kHz and above) airborne tire noise generated by such discontinuities is defined as tire slap noise in this study. Most previous research on noise generated by surface discontinuities has been focused on lower frequency tire noise, typically below 600 Hz, and, in particular, on structural-borne noise transmitted from the tire into the vehicle associated with the acoustic modes of the tire interior. Here, instead, the focus is on higher frequency airborne transmission. Further, the study here is conducted from the perspective of tire structural vibration, which concerns the vibration of and sound radiation from the tire treadband structure, rather than tire pattern noise, for example. The high frequency tire slap noise was investigated in a laboratory environment. The measurements were conducted by using the Ray W. Herrick Laboratories' Tire Pavement Test Apparatus (TPTA), on which a loaded tire can be run on realistic road surfaces at speeds up to 50 km/h; the resulting tire noise was measured using the On-Board Sound Intensity (OBSI) method. A gap between two different concrete surfaces was chosen as the road discontinuity, and both narrow band and one-third-octave band spectra were recorded over the gap and over the adjacent smooth road surface segments. Several tires were tested on the TPTA, and their slap noise was recorded. Surface noise and slap noise were compared up to 1600 Hz to show the impact of the discontinuity on the tire noise radiation. Generally, slap noise is of a higher level than the surface noise, especially between 800 and 1400 Hz, but some tires showed distinct differences between the noise response on the surface and over the gap, while other tires radiated similar noise on both the surface and over the gap. Moreover, static tire mobility measurements were performed to investigate the wave type responsible for the different responses on the gap and the surface.

A Computerized Method for Dynamic Response of Vehicle-Bridge Interaction System under Various Conditions

2013 ◽  
Vol 639-640 ◽  
pp. 1214-1219
Author(s):  
Yao Xiao ◽  
Zheng Qing Chen ◽  
Xu Gang Hua
Keyword(s):  
Surface Roughness ◽  
Dynamic Effect ◽  
Integrated System ◽  
Road Surface ◽  
Dynamic Responses ◽  
Superposition Method ◽  
The Road ◽  
Computerized Method ◽  
Road Surface Roughness ◽  
The Impact

A computerized method is presented for computing the dynamic responses of bridges under moving vehicles. The bridge and vehicle are treated as integrated system and modal superposition method is applied to transfer the equation of motion into modal coordinate system. The road roughness/unevenness is also considered. The effects of different vehicle models, vehicle passing speed and road surface roughness on bridge dynamic responses are studied. The impact factor representing the dynamic effect of passing vehicle is calculated for different road surface roughness

Influence of road surface roughness on dynamic impact factor of bridge by full-scale dynamic testing

2005 ◽  
Vol 32 (5) ◽  
pp. 825-829 ◽  
Author(s):  
Young Suk Park ◽  
Dong Ku Shin ◽  
Tae Ju Chung
Keyword(s):  
Surface Roughness ◽  
Impact Factor ◽  
Road Surface ◽  
Roughness Coefficient ◽  
International Roughness Index ◽  
The Road ◽  
Surface Profiles ◽  
Road Surface Roughness ◽  
Dynamic Impact Factor ◽  
The Impact

Effects of road surface roughness on the dynamic impact factor of bridge are investigated through full-scale field loading tests under controlled traffic conditions. The dynamic time histories of displacements are obtained for twenty-five bridges on Korean highways. The impact factors of the bridges are evaluated by using the measured displacements. The road surface profiles of the twenty-five bridges are also measured at every 10 to 30 cm interval in the span direction. By using the measured road surface profiles, the international roughness index (IRI) and the roughness coefficients of the bridges are evaluated. The linear regression and correlation analyses are performed to obtain the coherences between the IRI and the roughness coefficient and between the IRI and the impact factor. The sample correlation coefficients between the impact factor and the IRI and between the impact factor and the roughness coefficient are calculated to be 0.61 and 0.62, respectively, showing a strong coherence between the road surface roughness and the impact factor.Key words: bridge, impact factor, road surface roughness, international roughness index, roughness coefficient.

scholarly journals Adhesion of car tires to the road surface during reconstruction of road accidents

2020 ◽  
Vol 164 ◽  
pp. 03022
Author(s):  
Stanislav Evtukov ◽  
Egor Golov
Keyword(s):  
Road Traffic ◽  
Field Research ◽  
Weather Conditions ◽  
Road Transport ◽  
Road Surface ◽  
Road Accidents ◽  
The Road ◽  
Use Values ◽  
On The Road ◽  
The Impact

Road and weather conditions have a significant impact on the occurrence of road accidents and their development as events. According to these circumstances, the system “Driver – Car – Road – Environment” identifies certain types of expertise that are engaged in determining the presence and magnitude of the parameters of the road environment that affect the development of the road transport situation. When conducting relevant investigations, the experts calculate the speed and length of the stopping distance of the vehicle, using coefficients that determine the impact of road conditions on the road traffic situation under study. One of these important indicators is the coefficient of adhesion of car tires to the road surface. Due to the lack of technical capability to experimentally determine the coefficient of adhesion at the place of an accident, many experts are forced to use values from the reference literature. This study is devoted to checking the agreement of reference values of this indicator with actual values that correspond to the conditions of driving on Russian roads. To solve this problem, full-scale measurements were made of the coefficient of adhesion of tires with a coating on more than 2000 km of roads in different regions of Russia (with different climatic and topographic conditions) and the results of field research were analyzed.

scholarly journals The NOx Degradation Performance of Nano-TiO2 Coating for Asphalt Pavement

Nanomaterials ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. 897 ◽  
Author(s):  
Huanan Yu ◽  
Wan Dai ◽  
Guoping Qian ◽  
Xiangbing Gong ◽  
Dayao Zhou ◽  
...  
Keyword(s):  
Photocatalytic Degradation ◽  
Coupling Agent ◽  
Silane Coupling Agent ◽  
Coating Material ◽  
Road Surface ◽  
Tio2 Coating ◽  
Nano Tio2 ◽  
The Road ◽  
Silane Coupling ◽  
The Impact

The NOx degradation performance of nano-TiO2 as a coating material for the road environment was evaluated in this research. The nano-TiO2 coating materials for both road surface and roadside were prepared by using anatase nano-TiO2, activated carbon powder, silane coupling agent and deionized water. The impact of varying amounts of coating material and silane coupling agent were evaluated. The road environment of NOx degradation was simulated by the photocatalytic test system designed by the research team. For the road surface coating, the photocatalytic degradation experiments of NO under different radiation intensities were carried out. The results show that the material has good photocatalytic degradation performance, and the proper amount of silane coupling agent can enhance the bonding performance of the material and asphalt mixture. For the roadside coating, sodium dodecylbenzene sulfonate was selected as the surfactant to carry out the photocatalytic degradation experiment of NO2 with different dosages of surfactant. The results showed that when the mass ratio of nano-TiO2 and surfactant was about 1:2, the catalytic degradation effect of the material was the best.

scholarly journals Driving Safety Analysis Using Grid-Based Water-Filled Rut Depth Distribution

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Jiao Yan ◽  
Hongwei Zhang ◽  
Bing Hui
Keyword(s):  
Water Depth ◽  
Three Dimensional ◽  
Element Model ◽  
Road Surface ◽  
Driving Safety ◽  
Vehicle Speed ◽  
Adhesion Coefficient ◽  
The Road ◽  
Left And Right ◽  
The Impact

The water accumulated in the rutted road sections poses a threat to the safety of vehicles. Water-filled ruts will cause partial or complete loss of the friction between tires and the road surface, leading to driving safety hazards such as hydroplaning and sliding. At present, the maximum water depth of left and right ruts is mostly adopted to analyze the safety of water-filled ruts, ignoring the uneven change of ruts in the driving direction and the cross-section direction, which cannot fully reflect the actual impact of asymmetric or uneven longitudinal ruts on the vehicle. In order to explore the impact of water-filled ruts on driving safety, a three-dimensional (3D) tire-road finite element model is established in this paper to calculate the adhesion coefficient between the tire and the road surface. Moreover, a model of the 3D water-filled rut-adhesion coefficient vehicle is established and simulated by the dynamics software CarSim. In addition, the influence of the water depth difference between the left and right ruts on the driving safety is quantitatively analyzed, and a safety prediction model for the water-filled rut is established. The results of the case study show that (1) the length of dangerous road sections based on vehicle skidding is longer than that based on hydroplaning, and the length of dangerous road sections based on hydroplaning is underestimated by 9.4%–100%; (2) as the vehicle speed drops from 120 km/h to 80 km/h, the length of dangerous road sections obtained based on vehicle sliding analysis is reduced by 93.8%. Therefore, in order to ensure driving safety, the speed limit is controlled within 80 km/h to ensure that the vehicle will not skid. The proposed method provides a good foundation for the vehicles to actively respond to the situation of the water-filled road section.

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