scholarly journals Validation of driving behaviour as a step towards the investigation of Connected and Automated Vehicles by means of driving simulators

Author(s):  
Luigi Pariota ◽  
Gennaro Nicola Bifulco ◽  
Gustav Markkula ◽  
Richard Romano
Author(s):  
Hanif Bhuiyan ◽  
Guido Governatori ◽  
Andy Bond ◽  
Sebastien Demmel ◽  
Mohammad Badiul Islam ◽  
...  

Automatically assessing driving behaviour against traffic rules is a challenging task for improving the safety of Automated Vehicles (AVs). There are no AV specific traffic rules against which AV behaviour can be assessed. Moreover current traffic rules can be imprecisely expressed and are sometimes conflicting making it hard to validate AV driving behaviour. Therefore, in this paper, we propose a Defeasible Deontic Logic (DDL) based driving behaviour assessment methodology for AVs. DDL is used to effectively handle rule exceptions and resolve conflicts in rule norms. A data-driven experiment is conducted to prove the effectiveness of the proposed methodology.


2012 ◽  
Vol 165 ◽  
pp. 252-259 ◽  
Author(s):  
Muammar Quadaffi Mohd Ariffin ◽  
Rabihah Ilyas ◽  
Mohd M.S. Firdaus ◽  
Nurulhana Borhan ◽  
Mohamad Hanif Md Saad

Driving simulators (DS) are extensively used worldwide as tools in research and training related to driving behaviour and road safety. However, DS have yet to be used extensively in Malaysia. While there is no guarantee that the use of DS may have direct positive impact on road safety, it offers an objective and insightful opportunity to measure and understand driving behaviour. This is especially relevant in Malaysia as it struggles to reduce the high number of fatalities due to road crashes. This paper reviews the role of simulators in research and training worldwide to better understand the driving behaviour and how Malaysia can benefit from useful tool.


2018 ◽  
Author(s):  
Timo Liljamo ◽  
Heikki Liimatainen ◽  
Markus Pöllänen
Keyword(s):  

2017 ◽  
Vol 86 ◽  
pp. 361-411
Author(s):  
Jewoo Lee ◽  
Soon-Koo MYOUNG

Author(s):  
Bryant Walker Smith

This chapter highlights key ethical issues in the use of artificial intelligence in transport by using automated driving as an example. These issues include the tension between technological solutions and policy solutions; the consequences of safety expectations; the complex choice between human authority and computer authority; and power dynamics among individuals, governments, and companies. In 2017 and 2018, the U.S. Congress considered automated driving legislation that was generally supported by many of the larger automated-driving developers. However, this automated-driving legislation failed to pass because of a lack of trust in technologies and institutions. Trustworthiness is much more of an ethical question. Automated vehicles will not be driven by individuals or even by computers; they will be driven by companies acting through their human and machine agents. An essential issue for this field—and for artificial intelligence generally—is how the companies that develop and deploy these technologies should earn people’s trust.


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