scholarly journals Lateral Position Measurement Based on Vehicles’ Longitudinal Displacement

Sensors ◽  
2020 ◽  
Vol 20 (24) ◽  
pp. 7183
Author(s):  
Ibrahim Mohsen ◽  
Thierry Ditchi ◽  
Stéphane Holé ◽  
Emmanuel Géron
Keyword(s):  
Weather Conditions ◽  
Lateral Position ◽  
Longitudinal Displacement ◽  
Multiple Sources ◽  
Position Measurement ◽  
Signal Processing Algorithm ◽  
The Road ◽  
Lateral Distance ◽  
Passive Transponders ◽  
Intelligent Assistant

The lateral position of a vehicle in its lane is crucial information required to develop intelligent assistant driving systems. Current studies reveal this information by mixing multiple sources such as cameras, LiDAR or accurate GNSS. Because these systems are not efficient in some degraded weather conditions, a cooperative Vehicle-to-Infrastructure sensor has been developed to help to determine lateral position of a vehicle in its lane. In this paper, the authors propose a completely new and original way to estimate lateral position of the vehicle in its lane using the longitudinal displacement. Using a system based on a hyper-frequency interaction between a transceiver module embedded in the vehicle and passive transponders that can be integrated in the road, for instance under the lane markings, a new signal processing algorithm is presented in order to determine the lateral distance between the vehicle and the transponder axis. The sensor has been tested in an external environment and has shown an estimated lateral distance error of 8 cm at most.

scholarly journals Detection and Tracking of Road Barrier Based on Radar and Vision Sensor Fusion

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Taeryun Kim ◽  
Bongsob Song
Keyword(s):  
Lateral Position ◽  
Vision Sensor ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
The Road ◽  
Estimation Algorithms ◽  
Detection And Tracking ◽  
First Case ◽  
Lateral Distance ◽  
Assistance Systems

The detection and tracking algorithms of road barrier including tunnel and guardrail are proposed to enhance performance and reliability for driver assistance systems. Although the road barrier is one of the key features to determine a safe drivable area, it may be recognized incorrectly due to performance degradation of commercial sensors such as radar and monocular camera. Two frequent cases among many challenging problems are considered with the commercial sensors. The first case is that few tracks of radar to road barrier are detected due to material type of road barrier. The second one is inaccuracy of relative lateral position by radar, thus resulting in large variance of distance between a vehicle and road barrier. To overcome the problems, the detection and estimation algorithms of tracks corresponding to road barrier are proposed. Then, the tracking algorithm based on a probabilistic data association filter (PDAF) is used to reduce variation of lateral distance between vehicle and road barrier. Finally, the proposed algorithms are validated via field test data and their performance is compared with that of road barrier measured by lidar.

scholarly journals Fail to Yield? An Analysis of Ambulance Crashes in Taiwan

2021 ◽  
Vol 13 (3) ◽  
pp. 1566
Author(s):  
Rong-Chang Jou ◽  
Ming-Che Chao
Keyword(s):  
Public Education ◽  
Weather Conditions ◽  
Medical Emergency ◽  
Transportation Safety ◽  
Emergency Vehicle ◽  
The Road ◽  
Mnl Model ◽  
On The Road ◽  
Crash Injuries ◽  
The Relationship

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.

Improvement of the visual warning system for various driving and road conditions in road transportation

2017 ◽  
Vol 232 (2) ◽  
pp. 175-187 ◽  
Author(s):  
Güray Tonguç ◽  
İsmail Hakkı Akçay ◽  
Habib Gürbüz
Keyword(s):  
Warning System ◽  
Weather Conditions ◽  
The Other ◽  
Accelerometer Data ◽  
Road Transportation ◽  
Accelerometer Sensor ◽  
The Road ◽  
Information Displays ◽  
Driving Conditions ◽  
Vehicle Information

This study aims to identify the potential adverse driving conditions which result from driver behavior, road surfaces and weather conditions for vehicles during a cruise, and to inform the drivers of the other vehicles moving on the same route. Adverse driving condition scenarios were developed via acceleration data in lateral, longitudinal and vertical directions gathered by using an accelerometer sensor placed at the gravity center of the test vehicles. The drivers were warned through the symbols designed according to the developed scenarios in different shapes and colors, displayed on an information screen showing the position of the vehicle. Three different software programs were used for gathering and evaluating the accelerometer data, storing scenario-specific symbols on the internet and transferring these symbols to the other vehicle information displays. The road tests were performed in conditions present in Turkey. It was observed that the vehicle drivers were alerted with the warning symbols which were designed for dangerous road and driving conditions with a latency of approximately 6s on Google maps which appeared on the driver information screen.

scholarly journals Efektifitas Pembayangan yang dihasilkan Pohon dan Bangunan di Koridor Jalan Perkotaan Untuk Mencapai Kenyamanan Termal

2018 ◽  
Vol 4 (1) ◽  
pp. 65-70
Author(s):  
Jockie Zudhy Fibrianto ◽  
Mochamad Hilmy
Keyword(s):  
Thermal Comfort ◽  
Temperature Difference ◽  
Weather Conditions ◽  
The Sun ◽  
The Road ◽  
Analysis Phase ◽  
Measurement Results ◽  
The Difference ◽  
Road Corridors ◽  
East West

The road corridor in Pontianak City has different shading output depending on the sun orientation. The difference has caused a temperature difference that affects the pedestrian thermal comfort along the corridor. Identification and measurement of shading temperatures that occur due to buildings and trees were carried out for three days in each afternoon with relatively similar weather conditions. The road corridor that becomes the research location was at A. Yani St.-Gajah Mada St.-Tanjung Pura St., which has a North-South orientation and Teuku Umar St.-Diponegoro St.-Sisingamangaraja St., who has an East-West direction. The analysis phase is done by comparing the effectiveness of imagery produced by buildings and trees. After that, the identification and measurement results are compared with Indonesian thermal comfort standards SNI T-14-1993-03 to obtain suitable thermal comfort in the road corridors in Pontianak City.

scholarly journals Influence of road conditions on vehicles’ fuel consumption

2021 ◽  
pp. 158-164
Author(s):  
Kateryna Dodukh ◽  
◽  
Anton Palchyk ◽  
Keyword(s):  
Fuel Consumption ◽  
Weather Conditions ◽  
General Criterion ◽  
Average Speed ◽  
The Road ◽  
Horizontal Curves ◽  
Vehicle Type ◽  
Wet Snow ◽  
Northern Regions ◽  
Road Width

The work is devoted to the solution of the issue of economic and safe transportation of goods and passengers by road. This transportation depends on the condition of roads, road surface, vehicle type and weather conditions. Weather conditions are taken into account both in terms of visibility (meteorological) and in terms of the coefficient of adhesion. The general criterion for assessing all conditions is the average speed of the vehicle, taking into account weather and road conditions. Weather conditions are determined by the type of visibillity: clear weather, rain, snowfall, blizzards, rain. By the coefficient of adhesion: dry surface, normal, wet, snow, ice. By road conditions: category of road, width of the travel section, radii of horizontal curves, longitudinal slopes, width of the road, the state of surface (coefficient of solidity). According to weather conditions, the calendar year is divided into three periods according to the conditions of cars’ movement. The first (winter) - December, January, February, March; second (spring-summer) - April, May, July, June, August; third (autumn) - September, October, November. The use of weather conditions in the Northern regions of Ukraine is presented in this work.

Microscopic Traffic Data Collection by Remote Sensing

2003 ◽  
Vol 1855 (1) ◽  
pp. 121-128 ◽  
Author(s):  
S. P. Hoogendoorn ◽  
H. J. Van Zuylen ◽  
M. Schreuder ◽  
B. Gorte ◽  
G. Vosselman
Keyword(s):  
Data Collection ◽  
Digital Camera ◽  
Vehicle Detection ◽  
Weather Conditions ◽  
Lateral Position ◽  
Aerial Images ◽  
Detection And Tracking ◽  
Vehicle Trajectories ◽  
Vehicle Detection And Tracking ◽  
Traffic Data Collection

To gain insight into the behavior of drivers during congestion, and to develop and test theories and models that describe congested driving behavior, very detailed data are needed. A new data-collection system prototype is described for determining individual vehicle trajectories from sequences of digital aerial images. Software was developed to detect and track vehicles from image sequences. In addition to longitudinal and lateral position as a function of time, the system can determine vehicle length and width. Before vehicle detection and tracking can be achieved, the software handles correction for lens distortion, radiometric correction, and orthorectification of the image. The software was tested on data collected from a helicopter by a digital camera that gathered high-resolution monochrome images, covering 280 m of a Dutch motorway. From the test, it was concluded that the techniques for analyzing the digital images can be applied automatically without much problem. However, given the limited stability of the helicopter, only 210 m of the motorway could be used for vehicle detection and tracking. The resolution of the data collection was 22 cm. Weather conditions appear to have a significant influence on the reliability of the data: 98% of the vehicles could be detected and tracked automatically when conditions were good; this number dropped to 90% when the weather conditions worsened. Equipment for stabilizing the camera—gyroscopic mounting—and the use of color images can be applied to further improve the system.

scholarly journals Driving Behaviour in Depression: Findings from a Driving Simulator Study

Safety ◽  
2019 ◽  
Vol 5 (4) ◽  
pp. 70
Author(s):  
Vagioula Tsoutsi ◽  
Dimitris Dikeos ◽  
Maria Basta ◽  
Maria Papadakaki
Keyword(s):  
Sleep Disturbance ◽  
Sleep Disturbances ◽  
Driving Simulator ◽  
Executive Dysfunction ◽  
Lateral Position ◽  
Driving Ability ◽  
Aggressive Driving ◽  
The Road ◽  
Driving Behaviour ◽  
Preceding Vehicle

Depression is characterized by mental, emotional and executive dysfunction. Among its symptoms, sleep disturbance and anxiety are very common. The effects of depression and its treatment may have an impact on driving behaviour. In order to evaluate driving performance in depression, 13 patients and 18 healthy controls completed questionnaires and scales and were tested in a driving simulator. Driving simulator data included lateral position (LP), speed and distance from the preceding vehicle. History of collisions was associated with depression, body mass index (BMI) and next-day consequences of sleep disturbance. Aggressive driving was associated with fatigue and sleep disturbances. Concerning driving simulator data, a reduced ability to maintain constant vehicle velocity was positively correlated to BMI and insomnia. An LP towards the middle of the road was associated with anxiety. On the other hand, an LP towards the shoulder was associated with depression and next-day consequences of sleep disturbance, while a positive correlation was found between distance from the preceding vehicle and use of drugs with potential hypnotic effects; both these findings show that patients suffering from depression seem to realize the effects of certain symptoms on their driving ability and thus drive in a more defensive way than controls.

Improving Unpaved Roads in Virginia: Case Study

2003 ◽  
Vol 1819 (1) ◽  
pp. 149-154
Author(s):  
Michael W. Dunn ◽  
S. Noelle On
Keyword(s):  
Cost Effective ◽  
Weather Conditions ◽  
Small Scale ◽  
Elected Officials ◽  
Unpaved Roads ◽  
The Road ◽  
Improvement Process ◽  
Key Factor ◽  
Low Volume ◽  
Virginia Department

Minimizing costs and streamlining the construction of low-volume roads offers an opportunity for transportation agencies to effectively meet the needs of rural citizens. The Virginia Department of Transportation (VDOT) maintains approximately 56,941 mi of the state’s roads, including Interstate, primary, and secondary facilities. Between 1987 and 1994, VDOT paved nearly 1,900 mi of unpaved roads. In rural parts of the state, many miles of state-maintained roads still have gravel and dirt surfaces. Each year the local transportation residency offices, in conjunction with local elected officials, contractors, and area citizens, strive to improve and pave as many miles of gravel and dirt roads as possible. The Hillsville Residency of VDOT, located in rural Carroll and Floyd Counties, has developed an efficient and cost-effective method for improving low-volume gravel and dirt roads. This process relies heavily on cooperative efforts by VDOT, contractors, elected officials, and especially citizens. Land donations from citizens represent the cornerstone of this process, signifying that citizen cooperation is the key factor in a project’s success. Because most of the decisions in the improvement process are at the local residency level, trusting relationships and frequent communication can be established, small-scale and local contractors are given more business opportunities, and local VDOT personnel can better understand citizen concerns and perform road improvements accordingly. In addition, the time line for the road improvement process is based on seasons—the most appropriate weather conditions are considered for the work being performed. This program enables more roads to be paved each year, improving the level of service and quality of life for local citizens.

scholarly journals A Geostatistical Investigation into the Effective Spatiotemporal Coverage of Road Weather Information Systems in Alberta, Canada

2018 ◽  
Vol 2018 ◽  
pp. 1-11
Author(s):  
Xu Wang ◽  
Lian Gu ◽  
Tae J. Kwon ◽  
Tony Z. Qiu
Keyword(s):  
Information Systems ◽  
Weather Conditions ◽  
Road Maintenance ◽  
The Road ◽  
Weather Information ◽  
Geostatistical Approach ◽  
Adverse Weather ◽  
Winter Road ◽  
Winter Road Maintenance

Inclement weather acutely affects road surface and driving conditions and can negatively impact traffic mobility and safety. Highway authorities have long been using road weather information systems (RWISs) to mitigate the risk of adverse weather on traffic. The data gathered, processed, and disseminated by such systems can improve both the safety of the traveling public as well as the effectiveness of winter road maintenance operations. As the road authorities continue to invest in expanding their existing RWIS networks, there is a growing need to determine the optimal deployment strategies for RWISs. To meet such demand, this study presents an innovative geostatistical approach to quantitatively analyze the spatiotemporal variations of the road weather and surface conditions. With help of constructed semivariograms, this study quantifies and examines both the spatial and temporal coverage of RWIS data. A case study of Alberta, which is one of the leaders in Canada in the use of RWISs, was conducted to indicate the reliability and applicability of the method proposed herein. The findings of this research offer insight for constructing a detailed spatiotemporal RWIS database to manage and deploy different types of RWISs, optimize winter road maintenance resources, and provide timely information on inclement road weather conditions for the traveling public.

Sign in / Sign up

Export Citation Format

Share Document