The Autonomous Emergency Brake (AEB) is a part of autonomous vehicle technologies and the technology was developed to reduce human errors that lead to a road accident. This survey investigates the priority factor influencing the public in acquiring vehicles with the AEB system. In this study, the Analytic Hierarchy Process (AHP) framework was used to determine the public’s rating of importance of the availability of the AEB system in their vehicles. Cronbach’s alpha was used to check for reliability of survey items. With a score of 0.8, it suggested that the items had relatively high internal consistency. The results show that the top factors that influence public interest in having vehicle with AEB are the reduction of the severity of injury and crashes.

Unintended accelerations (UA) occur in vehicles unexpectedly and uncontrollably. Every year, numerous critical injury and death cases related to UA occur. Recently, researches related to the development of automated driving systems are attracting a lot of attention among researchers and vehicle manufacturers. Additionally, silent vehicles such as electric power and hybrid vehicle are increasing. However, there are negative effects on driver safety. Recognition time (RT) and recognition velocity (RV) are some of the important factors lead to avoiding crashes. Early detections give the drivers more time in decision-making toward the UA hazards. In this study, RT and RV toward UAs under various environments were analysed. The findings highlighted that RTs toward UAs were longer in no engine sound environment. Drivers were unable to respond to UA earlier in silent vehicles compared to conventional vehicles. The findings provide insights that can be useful in developing automation vehicle and silent vehicle.

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Heat conduction (HC) at solid-liquid (S-L) interfaces play a significant role in the performance of engineering systems. Thus, this study investigates HC at S-L interfaces and its correlation between constant heat flux (CHF) and shear applied to liquid (SAL) systems using non-equilibrium molecular dynamics simulation. The S-L interface consists of solids with the face-centred cubic (FCC) lattice of (110), (111) and (100) planes facing the liquid. The solid is modelled by Morse potential whereas the liquid is modelled by Lennard Jones potential. The interaction between solid-liquid was modelled by Lorentz-Bertholet combining rules. The temperature and heat flux of the system is evaluated to correlate the HC at the S-L interface which reflect by the interfacial thermal resistance (ITR). The results suggest that the surfaces of FCC influence ITR at the S-L interface. The (110) surface for both cases of CHF and SAL has the lowest ITR as compared to other surfaces. In general, ITR for the case of SAL is higher than the CHF. SAL disturbs the adsorption behaviour of liquid at the S-L interfaces, thus reducing the HC. In conclusion, the surface of FCC and liquid experiencing shear do influence the characteristics of HC at the S-L interface.