Intrinsic road safety: A new approach?

1995 ◽  
Vol 19 (2-3) ◽  
pp. 245-252 ◽  
Author(s):  
J.H.A. Van Uden ◽  
A.H. Heijkamp
Keyword(s):  
Safety ◽  
2019 ◽  
Vol 5 (3) ◽  
pp. 60 ◽  
Author(s):  
Guido ◽  
Vitale ◽  
Astarita ◽  
Giofrè

Recently, many researchers have employed a microsimulation technique to study the chain of interactions among vehicles, which generates an accident occurrence in some circumstances. This new approach to studying road safety is named traffic conflict technique. The aim of this paper is to assess how the microscopic simulation is a useful tool to identify potentially unsafe vehicle interactions and how high-risk locations identified by a microsimulation technique are similar to the ones identified by using historical accident data. Results show that high-risk locations identified by the simulation framework are superimposable to those identified by using the historical accident database. In particular, the statistical analysis employed based on Pearson’s correlation demonstrates a significative correspondence between a risk rate defined with simulation and an accident rate determined by the observed accidents dataset.


Robotica ◽  
2011 ◽  
Vol 30 (2) ◽  
pp. 185-193 ◽  
Author(s):  
F. García ◽  
F. Jiménez ◽  
J. E. Naranjo ◽  
J. G. Zato ◽  
F. Aparicio ◽  
...  

SUMMARYThe recent developments in applications that have been designed to increase road safety require reliable and trustworthy sensors. Keeping this in mind, the most up-to-date research in the field of automotive technologies has shown that LIDARs are a very reliable sensor family. In this paper, a new approach to road obstacle classification is proposed and tested. Two different LIDAR sensors are compared by focusing on their main characteristics with respect to road applications. The viability of these sensors in real applications has been tested, where the results of this analysis are presented.


2016 ◽  
Vol 95 ◽  
pp. 8-19 ◽  
Author(s):  
Sahar Alian ◽  
R.G.V. Baker ◽  
Stephen Wood

2018 ◽  
Vol 42 (4) ◽  
pp. 197-206
Author(s):  
Murungi Elizabeth MWEBESA ◽  
Kento YOH ◽  
Hiroto INOI ◽  
Kenji DOI
Keyword(s):  

2017 ◽  
Vol 20 (1) ◽  
Author(s):  
IOAN-COZMIN MANOLACHE-RUSU ◽  
CORNEL SUCIU ◽  
FLORIN ANDRONIC ◽  
LILIANA PĂTULEANU ◽  
IVAN RADION

<p>Auxiliary braking systems, which include also the Jake brake system, have a decisive role in issues such as road safety and optimization of fuel consumption. These issues are raised especially for heavy vehicles such as trucks or buses. One of the most delicate problems encountered when designing such a braking mechanism is to accurately evaluate the thermal conditions present in the combustion chamber. Failure to know and control these conditions can lead to deteriorations of injection system components, such as the injectors, which are no longer cooled by fuel. The present paper aims to advance a simple and quite accurate mathematical model to describe the processes occurring in a Jake brake system. Such a model can be very interesting when high power diesel engines are designed.</p>


2017 ◽  
Vol 45 (3) ◽  
pp. 168 ◽  
Author(s):  
Zsolt Szalay ◽  
Ádám Nyerges ◽  
Zoltán Hamar ◽  
Mátyás Hesz

Today’s vehicles already have several driver assistant systems and in the near future highly automated vehicles will also appear in road transport. Higher automation levels rely on disruptive technologies that cannot be tested and approved in the former way. To be able to guarantee future road safety also disruptive testing and validation methods are required. The complexity of the systems and the stochasticity of the potential traffic situations demand new approaches with different testing levels and approval layers. Since there are no off-the-self solutions available beyond the research the authors also participate in international activities like the Gear 2030 EU level initiative. This paper will discuss the proposed new approach for connected and automated vehicle testing methodology concluding with the technical specification results for the new Hungarian automotive proving ground.


Author(s):  
Uli Schmucker ◽  
Caspar Ottersbach ◽  
Matthias Frank ◽  
Luong Xuan Hien ◽  
Lajos Bogar ◽  
...  

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