scholarly journals Data-Driven Test Scenario Generation for Cooperative Maneuver Planning on Highways

2020 ◽  
Vol 10 (22) ◽  
pp. 8154
Author(s):  
Christian Knies ◽  
Frank Diermeyer
Keyword(s):  
Road Traffic ◽  
Research Area ◽  
Data Driven ◽  
Highway Traffic ◽  
Test Scenario ◽  
Cooperative Driving ◽  
Road Users ◽  
Planning Algorithms ◽  
Data Driven Test ◽  
Test Scenarios

Future automated vehicles will have to meet the challenge of anticipating the intentions of other road users in order to plan their own behavior without compromising safety and efficiency of the surrounding road traffic. Therefore, the research area of cooperative driving deals with maneuver-planning algorithms that enable vehicles to behave cooperatively in interactive traffic scenarios. To prove the functionality of these algorithms, single test scenarios are used in the current body of literature. The use of a single, exemplary scenario bears the risk that the presented approach only works in the presented scenario and thus no general statement can be made about the performance of the algorithm. Furthermore, there is a risk that fictitious traffic scenarios may be solved which do not occur in reality. Therefore, we present a procedure for generating test scenarios based on real-world traffic datasets that require cooperation of at least one of the involved vehicles and thus are challenging from the perspective of cooperation. This procedure is applied to a large highway traffic dataset, resulting in a test scenario catalog that allows a comprehensive performance evaluation. The extracted scenarios are clustered according to the cooperative actions used to solve the respective scenario, which enables a more detailed understanding of the underlying cooperative mechanisms. In order to serve as a basis for making comparisons between different behavior planners and thus contribute to the development of future maneuver planning algorithms, a tool to extract the test scenarios from the used traffic dataset is made publicly available.

A Review and evaluation of Machine Translation methods for Lumasaaba

2020 ◽  
pp. 3-17
Author(s):  
Peter Nabende
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Machine Translation ◽  
Language Processing ◽  
Research Area ◽  
Data Driven ◽  
East African ◽  
Data Set ◽  
African Languages ◽  
Translation Methods

Natural Language Processing for under-resourced languages is now a mainstream research area. However, there are limited studies on Natural Language Processing applications for many indigenous East African languages. As a contribution to covering the current gap of knowledge, this paper focuses on evaluating the application of well-established machine translation methods for one heavily under-resourced indigenous East African language called Lumasaaba. Specifically, we review the most common machine translation methods in the context of Lumasaaba including both rule-based and data-driven methods. Then we apply a state of the art data-driven machine translation method to learn models for automating translation between Lumasaaba and English using a very limited data set of parallel sentences. Automatic evaluation results show that a transformer-based Neural Machine Translation model architecture leads to consistently better BLEU scores than the recurrent neural network-based models. Moreover, the automatically generated translations can be comprehended to a reasonable extent and are usually associated with the source language input.

OPTIMISING ROAD LIGHTING TO REDUCE ROAD TRAFFIC CRASHES

2021 ◽  
Author(s):  
C.J. Robbins ◽  
S. Fotios ◽  
J. Uttley ◽  
R. Rowe
Keyword(s):  
High Speed ◽  
Road Traffic ◽  
Cost Benefit ◽  
Light Level ◽  
Traffic Crashes ◽  
Road Traffic Crashes ◽  
Road Lighting ◽  
Road Users ◽  
Ambient Light Level ◽  
Vulnerable Road Users

Pedestrians and motorcyclists are vulnerable road users, being over represented in road traffic collisions (RTCs). One assumed benefit of road lighting is a reduction in RTCs after dark by countering the impairment to the visual detection of hazards that occur after dark. One way to optimise the use of road lighting is to light only those sections of road where light level, and hence visibility, is an important factor. The current study used change in ambient light level on RTCs to investigate those situations where improved vision is likely to have significant impact, and therefore the situations where road lighting is of better cost-benefit effectiveness. For both motorcyclist and pedestrian RTCs there was a significant increase in overall RTC risk in darkness compared to daylight, indicating that there may be an overall benefit of road lighting. While darkness was a particular detriment at junctions for motorcyclists and on high-speed roads for pedestrians, road lighting may not be effective mitigation in either case and therefore alternative ways of increasing conspicuity should be considered.

Alcohol and Fatal Road Traffic Accidents

1982 ◽  
Vol 22 (3) ◽  
pp. 189-194 ◽  
Author(s):  
M. Rufus Crompton
Keyword(s):  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Blood Alcohol ◽  
Road Traffic Accidents ◽  
Characteristic Distribution ◽  
Road Users ◽  
Blood Alcohol Levels ◽  
Age And Sex

An analysis of 208 cases of immediate death in a road traffic accident in which the blood alcohol was estimated, showed a definite characteristic distribution of varying blood alcohol levels in the various types of road users of differing age and sex.

scholarly journals ROAD SAFETY CAMPAIGNS TO REDUCE TRAFFIC ACCIDENTS FOR YOUNG ROAD USERS

ICCD ◽  
2019 ◽  
Vol 2 (1) ◽  
pp. 601-606
Author(s):  
Widodo Budi Dermawan ◽  
Dewi Nusraningrum
Keyword(s):  
School Environment ◽  
Road Safety ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
School Administrators ◽  
Road User ◽  
The Road ◽  
Road Users ◽  
Accident Data

Every year we lose many young road users in road traffic accidents. Based on traffic accident data issued by the Indonesian National Police in 2017, the number of casualties was highest in the age group 15-19, with 3,496 minor injuries, 400 seriously injured and 535 deaths. This condition is very alarming considering that student as the nation's next generation lose their future due to the accidents. This figure does not include other traffic violations, not having a driver license, not wearing a helmet, driving opposite the direction, those given ticket and verbal reprimand. To reduce traffic accident for young road user, road safety campaigns were organized in many schools in Jakarta. This activity aims to socialize the road safety program to increase road safety awareness among young road users/students including the dissemination of Law No. 22 of 2009 concerning Road Traffic and Transportation. Another purpose of this program is to accompany school administrators to set up a School Safe Zone (ZoSS), a location on particular roads in the school environment that are time-based speed zone to set the speed of the vehicle. The purpose of this paper is to promote the road safety campaigns strategies by considering various campaign tools.

scholarly journals The Mechanism of the Legal Regulation of the Organization and Movement of Road Traffic (Priorities and Advantages Related to Participation in Road Traffic)

2020 ◽  
Vol 12 ◽  
pp. 5-11
Author(s):  
Aleksandr Yu. Yakimov ◽  
Keyword(s):  
Russian Federation ◽  
Systematic Approach ◽  
Road Traffic ◽  
Legal Regulation ◽  
Regulation Mechanism ◽  
Road Users ◽  
The Russian Federation ◽  
Traffic Rules

The article is devoted to the consideration of important components of the mechanism of the legal regulation of the organization and implementation of road traffic. These include priorities, advantages associated with participation in road traffic, restrictions associated with participation in the specified process, and requirements for road users and vehicles. Based on the analysis of the provisions of the Traffic Rules of the Russian Federation and other regulations from the perspective of a systematic approach, the author examines the totality of these components and their interrelationships. The existing shortcomings of the legal regulation of the organization and implementation of road traffic are revealed. Taking into account the results obtained, proposals are formulated to improve the legal regulation mechanism under consideration.

scholarly journals Road Traffic Analysis Using Computer Vision

2021 ◽  
Vol 9 (8) ◽  
pp. 2002-2006
Author(s):  
Needhi U. Gaonkar
Keyword(s):  
Computer Vision ◽  
Traffic Flow ◽  
Traffic Management ◽  
Road Traffic ◽  
Vehicle Detection ◽  
Traffic Analysis ◽  
Transportation Systems ◽  
Visual Object ◽  
Highway Traffic ◽  
Analysis System

Abstract: Traffic analysis plays an important role in a transportation system for traffic management. Traffic analysis system using computer vision project paper proposes the video based data for vehicle detection and counting systems based on the computer vision. In most Transportation Systems cameras are installed in fixed locations. Vehicle detection is the most important requirement in traffic analysis part. Vehicle detection, tracking, classification and counting is very useful for people and government for traffic flow, highway monitoring, traffic planning. Vehicle analysis will supply with information about traffic flow, traffic summit times on road. The motivation of visual object detection is to track the vehicle position and then tracking in successive frames is to detect and connect target vehicles for frames. Recognising vehicles in an ongoing video is useful for traffic analysis. Recognizing what kind of vehicle in an ongoing video is helpful for traffic analysing. this system can classify the vehicle into bicycle, bus, truck, car and motorcycle. In this system I have used a video-based vehicle counting method in a highway traffic video capture using cctv camera. Project presents the analysis of tracking-by-detection approach which includes detection by YOLO(You Only Look Once) and tracking by SORT(simple online and realtime tracking) algorithm. Keywords: Vehicle detection, Vehicle tracking, Vehicle counting, YOLO, SORT, Analysis, Kalman filter, Hungarian algorithm.

scholarly journals EVALUATING THE EFFECT OF HEAVY VEHICLES ON TRAFFIC PARAMETERS BY USING HEAVY VEHICLE FACTOR

2018 ◽  
Vol 6 (4) ◽  
pp. 95-104
Author(s):  
Parthkumar Patel ◽  
H.R. Varia
Keyword(s):  
Travel Time ◽  
Traffic Flow ◽  
Road Traffic ◽  
Freight Transport ◽  
Heavy Vehicle ◽  
Mixed Traffic ◽  
Heavy Vehicles ◽  
Highway Traffic ◽  
Ideal Situation ◽  
The Impact

Safe, convenient and timely transportation of goods and passengers is necessary for development of nation. After independence road traffic is increased manifold in India. Modal share of freight transport is shifted from Railway to roadways in India. Road infrastructures continuously increased from past few decades but there is still need for new roads to be build and more than three forth of the roads having mixed traffic plying on it. The impact of freight vehicles on highway traffic is enormous as they are moving with slow speeds. Nature of traffic flow is dependent on various traffic parameters such as speed, density, volume and travel time etc. As per ideal situation these traffic parameters should remain intact, but it is greatly affected by presence of heavy vehicle in mixed traffic due to Svehicles plying on two lane roads. Heavy vehicles affect the traffic flow because of their length and size and acceleration/deceleration characteristics.  This study is aimed to analyse the impact of heavy vehicles on traffic parameters.

scholarly journals Exploring the Informal Communication of Driver-to-Driver on Roads: A Case Study of Durban City, South Africa.

2021 ◽  
Vol 67 (4) ◽  
pp. 1-8
Author(s):  
Jacob Adedayo Adedeji ◽  
Xoliswa Feikie
Keyword(s):  
South African ◽  
Traffic Safety ◽  
Road Traffic ◽  
Structured Interview ◽  
Road User ◽  
Novice Drivers ◽  
The Road ◽  
Road Users ◽  
Hand Signal ◽  
On The Road

Road traffic fatality is rated as one of the ten causes of death in the world and with various preventive measures on a global level, this prediction is only placed on flat terrain and didn’t reduce. Nevertheless, road users’ communication is an essential key to traffic safety. This communication, be it formal or informal between the road users is an important factor for smooth traffic flow and safety. Communication language on roads can be categorized into; formal device-based signal (formal signal), formal hand signal (formal signal), informal device-based signal (informal signal), and informal gesture-based signal (everyday signal). However, if the intent of the message conveys is not properly understood by the other road user, mistakes and errors may set in. Overall, the formal signal is based on explicit learning which occurs during the driving training and the license testing process and the informal, implicit learning occur during the actual driving process on the road unintentionally. Furthermore, since the informal signal is not a prerequisite to driving or taught in driving schools, novice drivers are clueless and thus, might have contributed to errors and mistakes which leads to traffic fatalities. Therefore, this study seeks to document the informal means of communication between drivers on South African roads. Consequently, a qualitative semi-structured interview questionnaire would be used in the collection of informal signals, which were predominantly used on South African roads from driving instructors and thereafter, a focus group of passengers’ car, commercial and truck drivers will be used to validate the availability and their understanding of these informal signals using a Likert-type scale for the confidence level. In conclusion, the information gathered from this study will help improve road safety and understanding of road users especially drivers on the necessity of communication and possible adaptation for other developing countries.

scholarly journals Safety Analysis of Pedestrians As Users of Road Traffic in the Slovak Republic

Auspicia ◽  
2020 ◽  
pp. 38-56
Author(s):  
Pavel Kohút ◽  
Ludmila Macurová ◽  
Miroslav Felcan
Keyword(s):  
Police Officers ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Slovak Republic ◽  
Risk Groups ◽  
Negative Consequences ◽  
Road Users ◽  
Pedestrian Accident ◽  
Principle Of Proportionality

ABSTRACT: The paper deals with the analysis of traffic accidents involving pedestrians in the Slovak Republic. The development of traffic accidents involving pedestrians is processed through statistical data for the period 2011 - 2019. The paper defines the risk groups of road users, identified areas with the highest traffic accidents, evaluated the negative consequences of traffic accidents and identified their possible causes. A separate chapter is a case study consisting of an analysis of a vehicle - pedestrian accident. Based on the performed analysis of traffic accidents involving pedestrians, safety measures are set to minimize the number of traffic accidents involving pedestrians and their negative consequences. The study is one of the outputs of the APVV-17-0217 project "Staffing of police officers and application of the principle of proportionality in criminal and administrative law.

scholarly journals Regeneration of Road Users Using PreSiM Model

2018 ◽  
Vol 3 (10) ◽  
pp. 132-141
Author(s):  
Mohamad Ghazali Masuri ◽  
Akehsan Dahlan ◽  
Ajau Danis ◽  
Khairil Anuar Md Isa
Keyword(s):  
Traffic Accident ◽  
Road Traffic ◽  
Publishing House ◽  
Rehabilitation Program ◽  
Road Users ◽  
Proposed Model ◽  
Depth Interview ◽  
International Publishing ◽  
Open Access Article ◽  
Structured Questionnaire

This study was involved in-one-to-one depth interview. Seven road users who had experienced road traffic accident were interviewed using semi-structured questionnaire. Data then analyzed using the Atlas.ti software. The themes that emerged shows that majority of the respondent agreed that to maintain driver’s competency, there is a need to re-assess, and all qualified drivers and high-risk drivers may need to attend driving rehabilitation program in the future. The data was translated into a proposed model called PreSiM. This study concluded that human components have a high potential to be re-evaluated in the current licensing process. Keywords: licensing, rehabilitation, maintenance, orientation. eISSN 2514-7528 © 2018. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open-access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia. DOI:https://doi.org/10.21834/jabs.v3i10.312  

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