Combining traffic safety knowledge for driving risk detection

2011 ◽  
Author(s):  
Oscar S. Siordia ◽  
Isaac Martin de Diego ◽  
Cristina Conde ◽  
Enrique Cabello
Keyword(s):  
Traffic Safety ◽  
Risk Detection ◽  
Driving Risk ◽  
Safety Knowledge

scholarly journals Integration of gamification in a traffic education platform for children

2018 ◽  
Author(s):  
Malik Sarmad Riaz ◽  
Ariane Cuenen ◽  
Davy Janssens ◽  
Kris Brijs ◽  
Geert Wets
Keyword(s):  
Situation Awareness ◽  
Traffic Safety ◽  
Intervention Group ◽  
Control Group ◽  
Policy Recommendations ◽  
Road Accidents ◽  
Risk Detection ◽  
Game Mechanics ◽  
Education Community ◽  
Education Platform

Children are highly represented in injuries and fatalities caused by road accidents. The major reasons are children’s lack of ability to scan the environment, inconsistent behaviour, distraction in traffic situations, ability to estimate speed and distance, and less developed hazard perception skills. Therefore, traffic education for children is very important. This study will look at a platform about traffic education for children including gamification elements. Gamification is a relatively new concept which has gathered a lot of attention over the last few years with its application in many diverse fields. Gamification is defined as the application of game mechanics to non-game activities in order to change behaviour. The education community has discovered the power it has to increase students’ performance and engagement. The current study focuses on educating school going children on traffic safety in Flanders (Belgium). We expect the platform to be effective in increasing traffic knowledge, situation awareness, risk detection and risk management among children and a positive change in (predictors of) behaviours of children who will be using the platform. To investigate the effect of the platform, a pretest-posttest design with an intervention group and a control group will be used. Data will be collected and analyzed in the spring of 2018 and results, limitations and policy recommendations will be provided during the conference in June 2018.

scholarly journals Assessing Driving Risk Using Internet of Vehicles Data: An Analysis Based on Generalized Linear Models

Sensors ◽  
2020 ◽  
Vol 20 (9) ◽  
pp. 2712 ◽  
Author(s):  
Shuai Sun ◽  
Jun Bi ◽  
Montserrat Guillen ◽  
Ana M. Pérez-Marín
Keyword(s):  
Traffic Safety ◽  
Linear Models ◽  
Risk Identification ◽  
Least Square ◽  
Sensor Data ◽  
Accelerator Pedal ◽  
Internet Of Vehicles ◽  
Driving Speed ◽  
Driving Risk ◽  
Market Needs

With the major advances made in internet of vehicles (IoV) technology in recent years, usage-based insurance (UBI) products have emerged to meet market needs. Such products, however, critically depend on driving risk identification and driver classification. Here, ordinary least square and binary logistic regressions are used to calculate a driving risk score on short-term IoV data without accidents and claims. Specifically, the regression results reveal a positive relationship between driving speed, braking times, revolutions per minute and the position of the accelerator pedal. Different classes of risk drivers can thus be identified. This study stresses both the importance and feasibility of using sensor data for driving risk analysis and discusses the implications for traffic safety and motor insurance.

Subjective Traffic Safety Experts' Knowledge for Driving-Risk Definition

2014 ◽  
Vol 15 (4) ◽  
pp. 1823-1834 ◽  
Author(s):  
Oscar S. Siordia ◽  
Isaac Martin de Diego ◽  
Cristina Conde ◽  
Enrique Cabello
Keyword(s):  
Traffic Safety ◽  
Driving Risk ◽  
Risk Definition

Automatic driving risk detection based on hands activity

2011 ◽  
Author(s):  
Isaac Martin de Diego ◽  
Raul Crespo ◽  
Oscar S. Siordia ◽  
Cristina Conde ◽  
Enrique Cabello
Keyword(s):  
Automatic Driving ◽  
Risk Detection ◽  
Driving Risk

scholarly journals Travel Time Prediction Model of Freeway Corridor Based on Real-Time Safety Reliability

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Huazhi Yuan ◽  
Zhaoguo Huang ◽  
Hongying Zhang
Keyword(s):  
Prediction Model ◽  
Travel Time ◽  
Real Time ◽  
Traffic Safety ◽  
Management Unit ◽  
Travel Time Prediction ◽  
Time Prediction ◽  
Relative Safety ◽  
Driving Risk ◽  
Freeway Corridor

By considering the feature of vehicle driving on the event management unit of the freeway corridor, according to the system target, a method to divide the management unit of the road network was put forward. The relative safety braking deceleration was taken as the evaluation index of single-vehicle driving risk. The reliability graph relationship and structure-function between the management unit and subunit were analyzed. Then, dynamic safety reliability and real-time safety reliability were determined on the basis of driving risk. In addition, the queuing and dissipating characteristics of the management unit under traffic incidents were analyzed based on the wave theory. The incident duration and dissipation time were also calculated. At the same time, the travel time prediction model of the incident management unit was set up when the real-time safety reliability was taken as a road resistance function. Finally, an improved travel time prediction model established in this paper is of great significance to improve traffic safety and efficiency, and the research results will provide an important theoretical foundation in the freeway corridor route decision.

Impediments to and Methods for Evaluating Safety Management Systems

1996 ◽  
Vol 1560 (1) ◽  
pp. 18-26
Author(s):  
Brian L. Bowman ◽  
Larry Crowley
Keyword(s):  
Traffic Safety ◽  
Traffic Accidents ◽  
Safety Management ◽  
Management Systems ◽  
Infrastructure Management ◽  
Public Agencies ◽  
Surface Transportation ◽  
Safety Knowledge ◽  
Accident Statistics

The Intermodal Surface Transportation Efficiency Act (ISTEA) mandates that individual states develop six transportation infrastructure management systems. One of these systems, the safety management system (SMS), focuses on reducing the number of roadway traffic accidents, injuries, and fatalities by considering the safety needs of the driver, vehicle, and roadway. This necessitates cooperation among state, city, and county roadway agencies as well as diverse public and quasi-public agencies. States have made significant advances toward implementing SMSs. The safety community recognizes that it is time to coordinate safety activities and responsibilities. Even if it is not mandated by Congress, as recent actions indicate, a large number of states are expected to implement elements of their SMS work plan. With this implementation comes the need for the evaluation of SMS's effectiveness in increasing traffic safety and ultimately reducing the number and severity of accidents. The challenge in evaluating SMS effectiveness is that many of the activities undertaken will not be directly quantifiable by accident statistics. Discussed here are some of the impediments, concerns, and design issues in an evaluation of SMS effectiveness in increasing traffic safety. Knowledge of these impediments and determination of an appropriate experimental design will enable the prior planning required to perform valid effectiveness evaluations.

Analysis of hands activity for automatic driving risk detection

2013 ◽  
Vol 26 ◽  
pp. 380-395 ◽  
Author(s):  
Isaac Martín de Diego ◽  
Oscar S. Siordia ◽  
Raúl Crespo ◽  
Cristina Conde ◽  
Enrique Cabello
Keyword(s):  
Automatic Driving ◽  
Risk Detection ◽  
Driving Risk

scholarly journals Sosialisasi Safety Road Berkendaraan Roda Dua pada Pelajar SMU/SMK di Balikpapan

2020 ◽  
Vol 2 (1) ◽  
pp. 23-28
Author(s):  
Rahmat Rahmat ◽  
Irna Hendriyani ◽  
Gunaedy Utomo
Keyword(s):  
High Schools ◽  
Traffic Safety ◽  
Traffic Accidents ◽  
Road User ◽  
Director General ◽  
Public High Schools ◽  
East Kalimantan ◽  
Post Test ◽  
Safety Knowledge ◽  
Wheeled Vehicles

The Director General of Traffic of the East Kalimantan Regional Police (2019) stated that, victims of traffic accidents 37% were 16-25 years old. The number of victims of accidents based on education is highest among students of Public High Schools and Vocational High Schools. Based on these facts, it is necessary to carry out activities aimed at broadening students' knowledge about Safety Road in two-wheeled vehicles and fostering awareness of driving that prioritizes road user safety. This activity was carried out in 3 sessions, namely giving pre-tests regarding traffic safety knowledge, the second session giving knowledge about traffic safety and question and answer, and ending with giving a post-test. Based on the test results found that an increase in the number of correct answers from the post-test and pre-test around 50%. From the results of the questionnaire, it was found that the implementation of this activity was very important and beneficial for the participants of the socialization.

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