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"An effective and real-time traffic information network is highly important and could contribute to decreasing traffic volume and costs by reducing fuel consumption and saving time for drivers in reaching their destinations. This study provides an extensive analysis regarding the drivers? acceptance levels of the current implementation of the Intelligent Transport System (ITS) in Kuala Lumpur. A proposed model from the literature review based on the known Technology Acceptance Model (TAM) is introduced. The ITS system characteristics, information quality, system quality, and service quality were investigated as external variables. The resulting analysis showed that information quality is the highest influential factor followed by system quality. The results also revealed that service quality had no effect on acceptance levels."

"The effectiveness of transportation demand management policy depends on how commuters respond to it. This study attempts to comprehend commuter behavior in choosing routes based on electronic road pricing (ERP) policy implementation on the Sudirman and Kuningan corridors. The experiments were conducted using the data collections from a stated preference experiment in which each commuter makes a route choice with an alternative representing a hypothetical situation with a combination of tariffs and travel time in ERP policy implementation. Logit models found that the individual and household variables influence route divert behavior. A commuter with a higher income or more family members living together is more likely to have less flexibility in diverting route. In addition, the distance of the trips affected their route divert behavior and influenced an individual trip chain constrained in time-space prism."

"The main objective of this paper is to review and examine the effects of the selected collision parameter values on the characteristics of collision energy in several ship collision scenarios. The benchmarking particulars were taken from the ship-to-ship collision case on Sunda Strait in 2014, while the collision process was modeled with non-linear simulations using the finite element (FE) method to determine the predicted damage and internal energy in the collision process. In the first phase, the verified model for the numerical simulation was built based on the benchmarks and other previous findings by researchers. The study of parameters during the collision process was performed in a later stage. The location of the target point in the vertical axis and the effect of the collision angle were the primary main focuses. The characteristics of damage and energy tendencies will be presented. One remarkable findings was that the structure of the car deck showed a better resistance and was more difficult to destroy than the other proposed locations. The angle position between the two objects during the impact process significantly contributed to the damage pattern on the side hull. The final results also indicated that the cross-section of the target point?s location influenced the observed parameters."

"An efficient Region-Based Image Retrieval (RBIR) system must consider query region determination techniques and target regions in the retrieval process. A query region is a region that must contain a Region of Interest (ROI) or saliency region. A query region determination can be specified manually or automatically. However, manual determination is considered less efficient and tedious for users. The selected query region must determine specific target regions in the image collection to reduce the retrieval time. This study proposes a strategy of query region determination based on the Region Importance Index (RII) value and relative position of the Saliency Region Overlapping Block (SROB) to produce a more efficient RBIR. The entire region is formed by using the mean shift segmentation method. The RII value is calculated based on a percentage of the region area and region distance to the center of the image. Whereas the target regions are determined by considering the relative position of SROB, the performance of the proposed method is tested on a CorelDB dataset. Experimental results show that the proposed method can reduce the Average of Retrieval Time to 0.054 seconds with a 5x5 block size configuration."