scholarly journals Behavior signal processing for vehicle applications

2013 ◽  
Vol 2 ◽  
Author(s):  
Chiyomi Miyajima ◽  
Pongtep Angkititrakul ◽  
Kazuya Takeda
Keyword(s):  
Signal Processing ◽  
Research Field ◽  
Driving Safety ◽  
Human Machine Interaction ◽  
Lane Changing ◽  
The Road ◽  
Wide Range ◽  
Active Research ◽  
On The Road ◽  
Driver Identification

Within the past decade, analyzing and modeling human behavior by processing large amounts of collected data has become an active research field in the area of human–machine interaction. The research community is striving to find principled ways to explain and represent important behavioral characteristics of humans, with the goal of developing more efficient and more effective cooperative interactions between humans, machines, and environment. This paper provides a summary of the progress we have achieved to date in our study, which has focused specifically on interactions between driver, vehicle, and driving environment. First, we describe the method of data collection used to develop our on-the-road driving data corpus. We then provide an overview of the data-driven, signal processing approaches we used to analyze and model driver behavior for a wide range of practical vehicle applications. Next, we perform experimental validation by observing the actual driving behavior of groups of real drivers. In particular, the vehicle applications of our research include driver identification, behavior prediction related to car following and lane changing, detection of emotional frustration, and improving driving safety through driver coaching. We hope this paper will provide some insight to researchers with an interest in this field, and help identify areas and applications where further research is needed.

scholarly journals Cycling Pathways

2021 ◽  
Author(s):  
Henk-Jan Dekker
Keyword(s):  
Climate Change ◽  
The Netherlands ◽  
Political Struggle ◽  
The Road ◽  
Wide Range ◽  
The World ◽  
Road Space ◽  
History Of ◽  
On The Road

In an effort to fight climate change, many cities try to boost their cycling levels. They often look towards the Dutch for guidance. However, historians have only begun to uncover how and why the Netherlands became the premier cycling country of the world. Why were Dutch cyclists so successful in their fight for a place on the road? Cycling Pathways: The Politics and Governance of Dutch Cycling Infrastructure, 1920-2020 explores the long political struggle that culminated in today’s high cycling levels. Delving into the archives, it uncovers the important role of social movements and shows in detail how these interacted with national, provincial, and urban engineers and policymakers to govern the distribution of road space and construction of cycling infrastructure. It discusses a wide range of topics, ranging from activists to engineering committees, from urban commuters to recreational cyclists and from the early 1900s to today in order to uncover the long and all-but-forgotten history of Dutch cycling governance.

A Laboratory Method to Comprehensively Evaluate Abrasion, Traction and Rolling Resistance of Tire Tread Compounds

2007 ◽  
Vol 80 (4) ◽  
pp. 580-607 ◽  
Author(s):  
M. Heinz ◽  
K. A. Grosch
Keyword(s):  
Friction Coefficient ◽  
Laboratory Test ◽  
Rolling Resistance ◽  
Limited Range ◽  
Slip Angle ◽  
Testing Conditions ◽  
Side Force ◽  
The Road ◽  
Wide Range ◽  
On The Road

Abstract A laboratory test method has been developed which allows the evaluation of diverse properties of tire tread compounds on the same sample. The laboratory test instrument consists of a rotating abrasive disk against which a rubber sample wheel runs under a given load, slip angle and speed. All three force components acting on the wheel during the tests are recorded. By changing the variable values over a wide range practically all severities encountered in tire wear are covered. The well-known fact that compound ratings depend on the road testing conditions is verified. Most compounds are only significantly distinguishable against a control over a limited range of testing conditions. Using a road test simulation computer program based on the laboratory data shows that not only ratings correspond to practical experience but also calculated absolute tire life times do. Tests on surfaces of different coarseness and sharpness indicate that sharp coarse surfaces give the best results with road tests, which of necessity are mostly carried out on public roads of differing constitution. The abrasive surface can be wetted with water at different temperatures and hence either the friction force at a locked wheel or the side force at a slipping wheel can be measured over a wide range of temperatures and speeds. At small slip angles the side force is dominated by dynamic cornering stiffness of the compound, at large slip angles by the friction coefficient. In this case, too, good correlations to road experience exist over a limited range of testing conditions. Low water temperatures and low slip speed settings in the laboratory produce side force ratings, which correlate closely with ABS braking on the road High and higher slip speeds give ratings in close agreement with locked wheel braking on the road. A heatable/coolable disk enables traction measurements on ice and newly abrasion measurements on surfaces at elevated surface temperature. Ice surface temperatures between −5 °C and −25 °C are possible. Friction measurements show that the difference in compound rating between summer and winter compounds is maintained over the whole temperature range. New investigations show not only a differentiation between different winter tire treads qualities but also an excellent correlation between tire and laboratory results. As a new topic side force measurements on dry surfaces highlight the correlation to dry handling of tires. The tire tread compound contributes to this performance through its shear stiffness and its friction coefficient. The shear stiffness contributes to the response of the tire in directional changes. The friction coefficient determines the maximum force, which can be transmitted. A simple operation possibility for evaluation of determined side forces is demonstrated. In addition to antecedent investigations the rolling resistance of the rubber wheel can be measured over a range of loads and speeds with the slip angle set at zero. Again for these new results good correlations are achieved with practical experience. In particular, the dependence of the rolling resistance on the velocity and loads are pointed out. Ultimately a good correlation between tire test and laboratory test results was demonstrated.

scholarly journals Obstacle Detection and Safely Navigate the Autonomous Vehicle from Unexpected Obstacles on the Driving Lane

Sensors ◽  
2020 ◽  
Vol 20 (17) ◽  
pp. 4719
Author(s):  
Malik Haris ◽  
Jin Hou
Keyword(s):  
Deep Learning ◽  
Autonomous Vehicle ◽  
Research Area ◽  
Visual Navigation ◽  
Obstacle Detection ◽  
The Road ◽  
Markov Random ◽  
Active Research ◽  
On The Road ◽  
Active Research Area

Nowadays, autonomous vehicle is an active research area, especially after the emergence of machine vision tasks with deep learning. In such a visual navigation system for autonomous vehicle, the controller captures images and predicts information so that the autonomous vehicle can safely navigate. In this paper, we first introduced small and medium-sized obstacles that were intentionally or unintentionally left on the road, which can pose hazards for both autonomous and human driving situations. Then, we discuss Markov random field (MRF) model by fusing three potentials (gradient potential, curvature prior potential, and depth variance potential) to segment the obstacles and non-obstacles into the hazardous environment. Since the segment of obstacles is done by MRF model, we can predict the information to safely navigate the autonomous vehicle form hazardous environment on the roadway by DNN model. We found that our proposed method can segment the obstacles accuracy from the blended background road and improve the navigation skills of the autonomous vehicle.

Analysis of Dynamic Load Level of High-Speed Heavy Vehicle Imposed on Uneven Pavement

2011 ◽  
Vol 138-139 ◽  
pp. 146-152
Author(s):  
Guo He Guo ◽  
Yu Feng Bai ◽  
Tao Wang
Keyword(s):  
Dynamic Load ◽  
High Speed ◽  
Load Level ◽  
Heavy Vehicle ◽  
Vehicle Speed ◽  
Destructive Effect ◽  
The Road ◽  
Wide Range ◽  
On The Road ◽  
Factor Interaction

Based on the significant destructive effect of heavy vehicle on uneven roads, two simplified models of pavement unevenness and vehicle dynamic load were established in accordance with D'A lembert principle, and Matlab software was used to analyze the changing law of dynamic load under the conditions of different road unevenness, vehicle speed and load. The results show that vehicles running on uneven road may produce more cumulative damages than static load, and DLC (dynamic load coefficient) changes in wide range, maximum up to 2.0 or more; the effect of speed and load on dynamic load is complex, and due to multi-factor interaction, DLC doesn’t consistently increase or decrease with speed and load increasing. Although the dynamic load level caused by high-speed heavy vehicle is not necessarily too high, its impact on the road can not be ignored.

The Judgement for Generalized Positive Definite Matrices in Signal Processing

2010 ◽  
Vol 121-122 ◽  
pp. 128-132 ◽  
Author(s):  
Xue Ting Liu
Keyword(s):  
Signal Processing ◽  
Coding Theory ◽  
Applied Mathematics ◽  
Positive Definite Matrix ◽  
Positive Definite ◽  
Research Field ◽  
Positive Definite Matrices ◽  
Computational Mathematics ◽  
Special Matrix ◽  
Active Research

The generalized positive definite matrix is an active research field of special matrix, they have applied in computational mathematics, economics, physics, biology, applied mathematics, numerical computation, signal processing, coding theory, oil investigation in recent years, and so on. In this paper, motivated by [3], we give a simple and convenient judging methodwhich can be used to judge whether an nonnegative real matrix A is an generalized positive definite matrix or not.

scholarly journals Hypnotics and Driving Safety: Meta-Analyses of Randomized Controlled Trials Applying the on-the-Road Driving Test

2006 ◽  
Vol 1 (1) ◽  
pp. 63-71 ◽  
Author(s):  
Joris Verster ◽  
Dieuwke Veldhuijzen ◽  
Alain Patat ◽  
Berend Olivier ◽  
Edmund Volkerts
Keyword(s):  
Randomized Controlled Trials ◽  
Driving Safety ◽  
Controlled Trials ◽  
The Road ◽  
Randomized Controlled ◽  
On The Road ◽  
Meta Analyses

scholarly journals SERAT ECENG GONDOK SEBAGAI BAHAN ALTERNATIF ADMIXTURE PADA LASTON TIPE XI SNI 03-1737-1989 DITINJAU TERHADAP NILAI-NILAI UJI MARSHALL

Jurnal CIVILA ◽  
2018 ◽  
Vol 3 (2) ◽  
pp. 154
Author(s):  
Errine Yulia Rizqi Intanti ◽  
Zulkifli Lubis
Keyword(s):  
Water Hyacinth ◽  
Asphalt Mixture ◽  
Road Construction ◽  
Flexible Pavement ◽  
The Road ◽  
Concrete Layer ◽  
Wide Range ◽  
On The Road ◽  
Marshall Stability

In Indonesia, the road construction has experienced a fairly good development. From a wide range of road constructions, flexible pavement is the most chosen one because its characteristics: easy, fast, and efficient. However, flexible pavement has many weaknesses, for example the premature damage on the road surface after some time passed by the traffic so that the road cannot reach the planned age. For that, it is done a research to add a hot asphalt mixture material that aims to improve the quality of the mixture results. The selected ingredient is natural water hyacinth. The method used is trial and error with reference of SNI 03-1737-1989. Variations used are 2%, 4%, 6%, 8% and 10% of the asphalt weight, asphalt level used is 5.72 %. Of the 5 variations of mixture used on Type XI Asphalt Concrete Layer, it is obtained the result that the water hyacinth fiber level which has the best score and meet the specifications of SNI 03-1737-1989 is on the percentage of 6% which obtained from calculation data using graphs and regression model where Marshall Stability is equal to 644,46 Kg, flow 3,39 mm, VMA (voids in the mineral aggregate) is equal to 13,83 %, VFWA (voids filled with asphalt) is equal to 65,35%, VIM (voids in the mix) is equal to 2,52 %, density of 2.31 gr/cc, and Marshall Quotient of 164.03 Kg / mm.

scholarly journals Development of a micromirror based laster vector scanning automotive HUD

2021 ◽  
Author(s):  
Fan Chao
Keyword(s):  
Lower Cost ◽  
Liquid Crystal Display ◽  
Driving Safety ◽  
Virtual Image ◽  
The Road ◽  
Angle Of View ◽  
On The Road ◽  
Fuel Level ◽  
Vector Scanning ◽  
Vacuum Fluorescent Display

Head-Up-Display (HUD) for automobiles is a system that displays the driving information such as the speed, fuel level, turning signal, GPS, etc on the windshield or on the road through a virtual image. With HUD, the driver does not need to lower his head to check the front panel for driving information and thus the driver can have a longer eyes-on-road time to improve the driving safety and comfort. LCD (Liquid Crystal Display) and VFD (Vacuum Fluorescent Display) based HUDs dominate today's automotive HUD market. In this thesis, a novel micromirror laser vector scanning HUD is developed for automobiles, which has the advantages over existing technologies including: 1) Higher brightness and contrast; 2) Wider angle of view; 3) Smaller size; and 4) Lower cost.

scholarly journals Roadmap on signal processing for next generation measurement systems

2021 ◽  
Vol 33 (1) ◽  
pp. 012002
Author(s):  
Dimitris K Iakovidis ◽  
Melanie Ooi ◽  
Ye Chow Kuang ◽  
Serge Demidenko ◽  
Alexandr Shestakov ◽  
...  
Keyword(s):  
Signal Processing ◽  
Time Series Data ◽  
Research Field ◽  
Series Data ◽  
Next Generation ◽  
Research Attention ◽  
Measurement Systems ◽  
Scientific Disciplines ◽  
Wide Range ◽  
Future Challenges

Abstract Signal processing is a fundamental component of almost any sensor-enabled system, with a wide range of applications across different scientific disciplines. Time series data, images, and video sequences comprise representative forms of signals that can be enhanced and analysed for information extraction and quantification. The recent advances in artificial intelligence and machine learning are shifting the research attention towards intelligent, data-driven, signal processing. This roadmap presents a critical overview of the state-of-the-art methods and applications aiming to highlight future challenges and research opportunities towards next generation measurement systems. It covers a broad spectrum of topics ranging from basic to industrial research, organized in concise thematic sections that reflect the trends and the impacts of current and future developments per research field. Furthermore, it offers guidance to researchers and funding agencies in identifying new prospects.

scholarly journals Upaya Meningkatkan Kesadaran Penggunaan Helm Sejak Dini

2019 ◽  
Author(s):  
Hamidah Noor Fajriyah
Keyword(s):  
Qualitative Research ◽  
Research Method ◽  
Driving Safety ◽  
Qualitative Research Method ◽  
Helmet Use ◽  
The Road ◽  
Raising Awareness ◽  
On The Road

Today, there are many people who do not wear helmets when driving a motorized vehicle because of lack of awareness of driving safety. As a result of not wearing a helmet that is the number of accidents on the road. Therefore, the Sidoarjo District Police distributed free helmets to children with the aim of raising awareness of wearing helmets early on. The writing of this article aims to show efforts in raising awareness to wear helmets early on. The research method used is a qualitative research method with observations of programs that have been carried out. The results of this study indicate that efforts to provide free helmets to children are an effective way to raise awareness of the importance of helmet use and through this program can show that there are still many people who are in an orderly manner.

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