Walkability is becoming a popular buzzword in planning cities that suffers high level of pollution due to, amongst others, emission from automobiles are embracing walkability in order to reap its benefits. In addition to that, walkability is the measure of how satisfactorily the transportation system meets the need of walking of the community. Several studies around the world have put great efforts to highlight the importance of walkability in urban as it is an important measure in determining a better environment. There is a strong relationship between walkability, sustainable transportation and the environment. In addition to that, walkability is a concept that is consistent with sustainable development and transportation system due to its economic, social and environmental benefits. Walkability satisfaction rating within a localized neighborhood can be measured at the macro level with the aid of GIS at the initial development stages. The methods and techniques used are varying and no single walkability assessment tool can be designed to suit different environmental conditions. Different groups of societies for whom the theoretical and practical perception of cities development vary, or different types of neighborhoods with different needs would warrant different approaches. Therefore, this paper examines the methods, techniques and indicators that have been used to measure walkability and highlights the important benefits of improving walkability in the built environment. Moreover it also describes the relationship between walkability, sustainable transportation and environment.

Energy efficiency in buildings nowadays are objectively important to be achieved and it requirements being underlined in energy policy for buildings at regional, national and international levels. It circulates among the utilization of building services. This paper analyses available information concerning energy efficiency criteria for hospital buildings, whereby particularly, most hospital buildings are operating in 24 hours with high energy consumption. An analysis of green hospital development is conducted and is aimed to emphasize the important aspects energy efficiency applies in hospital building. An overview related to the present sustainable energy efficiency practices that influential green hospital building planning accomplished by a matrix survey is presented. This gives the possibility to assess the motivation for a sustainable or green hospital buildings development through building rating system. Attention is devoted to the review of energy efficiency criteria as they have to be introduced in the future planning and design of green hospital buildings. Several criteria are listed and their relevance to the sustainable energy development for green hospital building development is accessible. The results indicate that several significant criteria for sustainable hospital can improve the practices of energy efficiency to hospital buildings at the planning and design stages. The energy efficient criteria in green hospital building rating system is potential in providing a positive contributions to energy engineering science, which also may lead to more reduction of hospital building energy consumption, thus, directly improve the carbon footprints.

This paper models the performance of a passenger vehicle equipped with Autonomous Emergency Braking (AEB) using a feedback control system in MATLAB Simulink. Two types of AEB control systems are simulated and compared; proportional-integral (PI) control and fuzzy logic control (FLC). Performance of both control systems simulated are compared using AEB City collision scenario defined in Euro New Car Assessment Protocol (NCAP). Results show that the proposed PI control system is able to meet Euro NCAP AEB City set requirements.

Adaptive Cruise Control (ACC) is introduced to allow the subject vehicle to follow a target vehicle at a pre-selected time gap, up to a driver-selected velocity by controlling the engine and/or service brakes as defined in SAE J2399. A typical ACC ensures passenger comfort by minimizing the subject vehicle’s rate of acceleration and deceleration when following a target vehicle. However, if the ACC rate of velocity change is too slow, the subject vehicle might not be able to follow the target vehicle at the set time-gap. On the other hand, if the ACC responds too quickly to the changes in the target vehicle velocity, it might cause passenger discomfort and reduce energy efficiency due to the high rate of acceleration and deceleration. Thus, a research gap in ACC is identified, and this paper seeks to investigate an optimal ACC for driving comfort and fuel economy. This paper models the performance of a passenger vehicle with ACC using feedback control in Matlab Simulink. Three types of ACC control systems are simulated and compared; proportional-integral (PI) control, fuzzy logic control (FLC), and Linear-Quadratic Regulator (LQR). The performance of the control systems is simulated using set test scenarios, and an optimal ACC design is selected based on minimum acceleration, deceleration, and jerk performance, as defined in ISO 15622, following performance and minimum fuel consumption. Results show that the LQR controller has the best performance in meeting the ISO 15622, the lowest target vehicle the following root mean square error (RMSE), and the second-lowest New European Drive Cycle (NEDC) urban cycle fuel consumption.

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