A numerical tool for reproducing driver behaviour: Experiments and predictive simulations

Casucci, M.; Marchitto, Mauro; Cacciabue, Pietro Carlo

doi:10.1016/j.apergo.2009.01.008

Cited by 15 publications

(9 citation statements)

References 4 publications

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“…Limited research has been reported regarding lane changes on urban arterials. Even fewer have tried to address important attributes of urban streets' lane-changing maneuvers, such as the high level of interactions among vehicles and the driver behavior variability involved (Amditis et al, 2010;Cacciabue and Carsten, 2010;Casucci et al, 2010;Thiruvengada, 2007). Consequently, research documenting drivers' thinking process, as well as support for the assumptions used in existing models is scarce.…”

Section: Introductionmentioning

confidence: 98%

Lane-changing behavior on urban streets: A focus group-based study

Sun

Elefteriadou

2011

Applied Ergonomics

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Section: Introductionmentioning

confidence: 98%

Lane-changing behavior on urban streets: A focus group-based study

Sun

Elefteriadou

2011

Applied Ergonomics

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“…There are a great number of projects that develop the concept of unmanned vehicles [ 8 , 25 , 38 ]. Nevertheless, there are no real systems that outperform a human driver (who also is an imperfect system, but still the best one that is known).…”

Section: Introductionmentioning

confidence: 99%

Autonomous Driver Based on an Intelligent System of Decision-Making

2015

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The paper presents and discusses a system (xDriver) which uses an Intelligent System of Decision-making (ISD) for the task of car driving. The principal subject is the implementation, simulation and testing of the ISD system described earlier in our publications (Kowalczuk and Czubenko in artificial intelligence and soft computing lecture notes in computer science, lecture notes in artificial intelligence, Springer, Berlin, 2010, 2010, In Int J Appl Math Comput Sci 21(4):621–635, 2011, In Pomiary Autom Robot 2(17):60–5, 2013) for the task of autonomous driving. The design of the whole ISD system is a result of a thorough modelling of human psychology based on an extensive literature study. Concepts somehow similar to the ISD system can be found in the literature (Muhlestein in Cognit Comput 5(1):99–105, 2012; Wiggins in Cognit Comput 4(3):306–319, 2012), but there are no reports of a system which would model the human psychology for the purpose of autonomously driving a car. The paper describes assumptions for simulation, the set of needs and reactions (characterizing the ISD system), the road model and the vehicle model, as well as presents some results of simulation. It proves that the xDriver system may behave on the road as a very inexperienced driver.

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“…Our results showed that driver behavior was not directly influenced by red color, suggesting that red does not have a specific impact on road safety. Road safety expresses the interaction between the driver, vehicle, and environment (Casucci, Marchitto, & Cacciabue, 2010). Thus, our findings have the potential to reduce the gap between basic and applied vision science, and to offer transportation researchers new data that may assist in developing more effective road safety strategies and models.…”

Section: Discussionmentioning

confidence: 84%

Seeing Red on the Road

et al. 2015

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Human and animal research has found that red perception is associated with specific behavioral reactions, generally characterized by intense responses. Here, we explored whether red cars are perceived as more dangerous than other colored cars. One hundred Spanish drivers examined several road scenarios which involved hazardous cars with different colors: red, green, yellow, black, gray, and white. Driver's behavior (response time and probability of braking) and the perceived level of risk for each scenario were analyzed. Although car color affected participants' response times, contrary to expectations, red cars did not elicit faster responses or higher perceived levels of risk.

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A numerical tool for reproducing driver behaviour: Experiments and predictive simulations

Cited by 15 publications

References 4 publications

Lane-changing behavior on urban streets: A focus group-based study

Lane-changing behavior on urban streets: A focus group-based study

Autonomous Driver Based on an Intelligent System of Decision-Making

Seeing Red on the Road

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