Driver Assistance and Road Safety

2015 ◽  
pp. 69-90 ◽  
Author(s):  
Matthias Kühn ◽  
Lars Hannawald
Keyword(s):  
Road Safety ◽  
Driver Assistance

Advanced driver assistance systems: Using multimodal redundant warnings to enhance road safety

2017 ◽  
Vol 58 ◽  
pp. 238-244 ◽  
Author(s):  
Francesco Biondi ◽  
David L. Strayer ◽  
Riccardo Rossi ◽  
Massimiliano Gastaldi ◽  
Claudio Mulatti
Keyword(s):  
Road Safety ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Advanced Driver Assistance Systems ◽  
Assistance Systems

Driver Assistance and Road Safety

2015 ◽  
pp. 1-17
Author(s):  
Matthias Kühn ◽  
Lars Hannawald
Keyword(s):  
Road Safety ◽  
Driver Assistance

scholarly journals Towards Road Safety in LMICs: Vehicles that Guide Drivers on Self-Explaining Roads

2020 ◽  
Author(s):  
Hans Godthelp
Keyword(s):  
Road Safety ◽  
System Approach ◽  
Heavy Traffic ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Middle Income ◽  
Road Design ◽  
Design Characteristics ◽  
Self Driving Cars ◽  
The Way

Abstract: Traffic collisions cause a huge problem of public health in low and middle income countries.. The safe system approach is generally considered as the leading concept on the way to road safety. Based on the fundamental premise that humans make mistakes, the overall traffic system should be ‘forgiving’. Sustainable safe road design is one of the key elements of the safe system approach. However, the road design principles behind the safe system approach are certainly not leading in today’s infrastructure developments in most LMICs. Cities are getting larger and road networks are expanding. In many cases, existing through-roads in local communities are up-graded, resulting in heavy traffic loads and high speeds on places, that are absolutely not suited for this kind of through-traffic. Furthermore a safe system would require that functional design properties of cars and roads would be conceptually integrated, which is not the case at all. Although advanced driver assistance systems are on their way of development for quite a long period, their potential role in the safe system concept is mostly unclear and at least strongly underexposed. The vision on future cars is dominated by the concept of automation. This paper argues that the way to self-driving cars, should take a route via the concept of guidance, i.e. vehicles that guide drivers, both on self-explaining roads and on more or less unsafe roads. Such an in-vehicle support system may help drivers to choose transport mode, route and speed, based on criteria related to safety and sustainability. It is suggested to develop a driver assistance system using relatively simple and cheap technologies, particularly for the purpose of use in LMICs. Such a GUIDE (Generic User Interface for Driving Evolution) may make roads self-explaining - not only by their physical design characteristics - but also by providing in-car guidance for drivers. In future the functional characteristics of both cars and roads should be conceptualized into one integrated safe system, in which the user plays the central role. As such GUIDE may serve as the conceptual bridge between vehicle and roadway characteristics. It is argued that GUIDE is necessary to bring a breakthrough in road safety developments in LMICs and also give an acceleration towards zero fatalities in HICs.

Research on Driving Simulator in early Warning System of Vehicle Rear-End Collisions

2013 ◽  
Vol 380-384 ◽  
pp. 581-585
Author(s):  
Jing Ming Yan
Keyword(s):  
Real Time ◽  
Road Safety ◽  
Driver Assistance System ◽  
Driving Simulator ◽  
Warning System ◽  
Driver Assistance ◽  
Safe Distance ◽  
Collision Warning ◽  
Safety Technology ◽  
True Condition

Road safety has drawn wide attention from the whole society in recent years. The system of collision warning and anti-collision as an emerging vehicle safety technology can effectively help drivers avoid rear-end accident. This paper uses driver assistance system to analogously simulate true condition of driving and road. By real-time monitoring safe distance between two vehicles under the condition of following, this paper optimizes and adjusts the existing simulator. Drivers can avoid some untimely happening or unnecessary warning through improved and optimized simulator, which provides crucial technical conditions for producing more controlled and real-time interactive simulator.

scholarly journals The choice of rational complex of active safety systems for smart cars

2021 ◽  
Vol 2061 (1) ◽  
pp. 012128
Author(s):  
A I Markovnina ◽  
N D Tsyganov ◽  
A V Papunin ◽  
V S Makarov ◽  
V V Belyakov
Keyword(s):  
Road Safety ◽  
Vehicle Safety ◽  
Active Safety ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
The Road ◽  
Active Safety Systems ◽  
Assistance Systems ◽  
Smart Cars ◽  
Safety Systems

Abstract The problem of ensuring road safety affects all elements of the Driver-Car-Road-Environment system. Smart cars equipped with enough traffic assistants can significantly improve road safety. Active vehicle safety systems, including intelligent driver assistance systems and assistants, perform similar road safety functions. With all the variety of possibilities for equipping cars with systems complexes, the need arises to assess the feasibility and profitability of installing a particular complex of systems. For this, it is proposed to apply the methods of multi-criteria assessment. As a result of calculations, the best options for the sets of systems that most widely cover the road situation have been identified.

A Centralized Real-Time Driver Assistance System for Road Safety Based on Smartphone

2012 ◽  
pp. 221-230 ◽  
Author(s):  
Andrea Corti ◽  
Vincenzo Manzoni ◽  
Sergio M. Savaresi ◽  
Mario D. Santucci ◽  
Onorino Di Tanna
Keyword(s):  
Real Time ◽  
Road Safety ◽  
Driver Assistance System ◽  
Assistance System ◽  
Driver Assistance

scholarly journals The effectiveness of the AEB system in the context of the safety of vulnerable road users

2021 ◽  
Vol 11 (1) ◽  
pp. 977-993
Author(s):  
Monika Ucińska ◽  
Małgorzata Pełka
Keyword(s):  
Road Safety ◽  
Road Accident ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Emergency Braking ◽  
Road Users ◽  
Vulnerable Road Users ◽  
Assistance Systems ◽  
Potential Impact ◽  
National Police

Abstract According to the analysis by the National Police Headquarters, roughly 40% of all road accident victims in Poland are vulnerable road users (VRU), i.e. pedestrians and cyclists. Their protection has become one of the priorities for action regarding road safety. For this purpose, various activities are carried out aimed not only at human behaviour or the development of modern and safe road infrastructures but also at the development of modern vehicles, including advanced driver assistance systems (ADAS). In order to identify the limitations of the currently available driver assistance systems, designed to respond to VRU, research was carried out under the project name, “PEDICRASH: Safety aspects of VRU in CAD automated vehicles.” The project was aimed at increasing users’ awareness (both pedestrians and drivers) of the limitations of ADAS by analysing barriers and indicating recommendations allowing for more effective protection of pedestrians and cyclists due to the identified operating limitations of these systems. The research focused on the autonomous emergency braking (AEB) system and its potential impact on the level of road safety, with particular emphasis on VRU.

Desirability of advanced driver assistance from road safety perspective: the case of ISA

2005 ◽  
Vol 43 (1) ◽  
pp. 11-27 ◽  
Author(s):  
V.A.W.J. Marchau ◽  
R.E.C.M. van der Heijden ◽  
E.J.E. Molin
Keyword(s):  
Road Safety ◽  
Driver Assistance
Sign in / Sign up

Export Citation Format

Share Document