scholarly journals The Emergence Characteristics of Driver’s Intentions Influenced by Different Emotions

2021 ◽  
Vol 13 (23) ◽  
pp. 13292
Author(s):  
Xiaoyuan Wang ◽  
Yongqing Guo ◽  
Chenglin Bai ◽  
Quan Yuan ◽  
Shanliang Liu ◽  
...  
Keyword(s):  
Traffic Safety ◽  
Energy Use ◽  
Theoretical Foundation ◽  
Active Safety ◽  
Gas Emission ◽  
Safe Driving ◽  
Active Safety System ◽  
Proposed Model ◽  
Evolution Characteristics ◽  
Driver’S Intention

Drivers’ behavioral intentions can affect traffic safety, vehicle energy use, and gas emission. Drivers’ emotions play an important role in intention generation and decision making. Determining the emergence characteristics of driver intentions influenced by different emotions is essential for driver intention recognition. This study focuses on developing a driver’s intention emergence model with the involvement of driving emotion on two-lane urban roads. Driver emotions were generated using various ways, including visual stimuli (video and picture), material incentives, and spiritual rewards. Real and virtual driving experiments were conducted to collect the multi-source dynamic data of human–vehicle–environment. The driver intention emergence model was constructed based on an artificial neural network, to identify the influences of drivers’ emotions on intention, as well as the evolution characteristics of drivers’ intentions in different emotions. The results show that the proposed model can make accurate predictions on driver intention emergence. The findings of this study can be used to improve drivers’ behavior, in order to create more efficient and safe driving. It can also provide a theoretical foundation for the development of an active safety system for vehicles and an intelligent driving command system.

Corrigendum to “Vision-based active safety system for automatic stopping” [Expert Systems with Applications 39/12 (2012) 11234–11242]

2013 ◽  
Vol 40 (17) ◽  
pp. 6714
Author(s):  
Vicente Milanés ◽  
David F. Llorca ◽  
Jorge Villagrá ◽  
Joshue Pérez ◽  
Ignacio Parra ◽  
...  
Keyword(s):  
Expert Systems ◽  
Safety System ◽  
Active Safety ◽  
Active Safety System

scholarly journals Road Transport Accidents in Nigeria and the Role of Automotive Active Safety System

2016 ◽  
Vol 11 (1) ◽  
pp. 49-54
Author(s):  
Olasunkanmi Oriola Akinyemi ◽  
Hezekiah O Adeyemi ◽  
Olusegun Jinadu
Keyword(s):  
Traffic Safety ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Transportation Network ◽  
Road Transport ◽  
Road Accident ◽  
Active Safety ◽  
Road Accidents ◽  
Road Transportation ◽  
Road Traffic Safety

Abstract Analysis of road traffic accidents revealed that most accidents are as a result of drivers’ errors. Over the years, active safety systems (ASS) were devised in vehicle to reduce the high level of road accidents, caused by human errors, leading to death and injuries. This study however evaluated the impacts of ASS inclusions into vehicles in Nigeria road transportation network. The objectives was to measure how ASS contributed to making driving safer and enhanced transport safety. Road accident data were collected, for a period of eleven years, from Lagos State Ministry of Economic Planning and Budget, Central Office of Statistics. Quantitative analysis of the retrospective accident was conducted by computing the proportion of yearly number of vehicles involved in road accident to the total number of vehicles for each year. Results of the analysis showed that the proportion of vehicles involved in road accidents decreased from 16 in 1996 to 0.89 in 2006, the injured persons reduced from 15.58 in 1998 to 0.3 in 2006 and the death rate diminished from 4.45 in 1998 to 0.1 in 2006. These represented 94.4 %, 95 % and 95 % improvement respectively on road traffic safety. It can therefore be concluded that the inclusions of ASS into design of modern vehicles had improved road safety in Nigeria automotive industry.

scholarly journals The Development and Validation of Pre-Driving Assessment: Attitude towards safe driving scale

2020 ◽  
Vol 5 (13) ◽  
pp. 337-342
Author(s):  
Mohamad Ghazali Masuri ◽  
Akehsan Dahlan ◽  
Khairil Anuar Md Isa ◽  
Rugayah Hashim
Keyword(s):  
Human Factors ◽  
Traffic Safety ◽  
Publishing House ◽  
Validity And Reliability ◽  
Occupational Science ◽  
Safe Driving ◽  
Functional Activities ◽  
International Publishing ◽  
Development And Validation ◽  
Open Access Article

An occupational therapist who involved with driving rehabilitation should use a proper evaluation in identifying safe driving behaviour during the pre-driving assessment. Many reports have stated that human factors contributed up to 97% of collision. This study aims to develop a psychological evaluation that measures human factors in traffic safety during the pre-driving assessment. This study was involved sequential mix methodology approach. The factor analysis was carried out to determine the validity and reliability of the evaluation (Cronbach alpha .887). This assessment found to be adequate in providing the standard means of risky driving attitude based on the cut off value established.Keywords: Occupational science; Pre-driving assessment; Functional activities; Driving rehabilitationeISSN: 2398-4287 © 2020. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-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/e-bpj.v5i13.2060

A FRACTAL PERMEABILITY MODEL FOR POROUS–FRACTURE MEDIA WITH THE TRANSFER OF FLUIDS FROM POROUS MATRIX TO FRACTURE

Fractals ◽  
2019 ◽  
Vol 27 (06) ◽  
pp. 1950121 ◽  
Author(s):  
TONGJUN MIAO ◽  
AIMIN CHEN ◽  
YAN XU ◽  
SUJUN CHENG ◽  
BOMING YU
Keyword(s):  
Fractal Dimension ◽  
Geothermal Energy ◽  
Theoretical Foundation ◽  
Flow Behavior ◽  
Porous Matrix ◽  
Fracture Aperture ◽  
Permeability Model ◽  
Microstructural Parameters ◽  
Dimension Formula ◽  
Proposed Model

The transfer of fluids from porous matrix to fracture is a key issue to accurately predict the fluid flow behavior in porous–fracture media. In this work, to take into account the transfer of fluids, the analytical model of dimensionless permeability is proposed based on the fractal geometry theory for porous media. The proposed model is expressed as a function of microstructural parameters of the porous matrix and fracture, such as the pore area fractal dimension [Formula: see text], fractal dimension [Formula: see text] for tortuosity of tortuous capillaries, the ratio [Formula: see text] of the maximum pore size in porous matrix to fracture aperture, as well as the ratio [Formula: see text] of the pressure difference along the fracture to that along the porous matrix layers. The model reveals that the ratios [Formula: see text] and [Formula: see text] have significant influences on the permeability contribution from the porous matrix to the seepage behavior of the fracture. While the contribution of porosity of leak-wall porous surface of the fracture to the permeability is less than 10%. The present results may provide an important theoretical foundation for exploration of petroleum, gas and geothermal energy extraction systems.

scholarly journals Collision Detection for UAVs Based on GeoSOT-3D Grids

2019 ◽  
Vol 8 (7) ◽  
pp. 299 ◽  
Author(s):  
Weixin Zhai ◽  
Xiaochong Tong ◽  
Shuangxi Miao ◽  
Chengqi Cheng ◽  
Fuhu Ren
Keyword(s):  
Traffic Safety ◽  
Collision Detection ◽  
Detection Model ◽  
High Speeds ◽  
Collision Problem ◽  
Proposed Model ◽  
Primary Key ◽  
Grid Codes ◽  
Spatial Entities ◽  
Traditional Approaches

The increasing number of unmanned aerial vehicles (UAVs) has led to challenges related to solving the collision problem to ensure air traffic safety. The traditional approaches employed for collision detection suffer from two main drawbacks: first, the computational burden of a pairwise calculation increases exponentially with an increasing number of spatial entities; second, existing grid-based approaches are unsuitable for complicated scenarios with a large number of objects moving at high speeds. In the proposed model, we first identified UAVs and other spatial objects with GeoSOT-3D grids. Second, the nonrelational spatial database was initialized with a multitable strategy, and spatiotemporal data were inserted with the GeoSOT-3D grid codes as the primary key. Third, the collision detection procedure was transformed from a pairwise calculation to a multilevel query. Four simulation experiments were conducted to verify the feasibility and efficiency of the proposed collision detection model for UAVs in different environments. The results also indicated that 64 m GeoSOT-3D grids are the most suitable basic grid size, and the reduction in the time consumption compared with traditional methods reached approximately 50–80% in different scenarios.

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