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Taiwan has gradually increased its electric vehicle (EV) market share over the past few years. The increasing availability of affordable EV models has also contributed to the rising market share of EVs in Taiwan. This study provides a system dynamics model for evaluating the impact of various factors on the electric vehicle market share in Taiwan. The model incorporates key variables such as consumer preferences, financial acceptability, charging infrastructure and accessibility, EV performance, and customer acceptance to simulate the dynamic behavior of the EV market. Moreover, the model utilizes historical data and the government's target plan to calibrate and validate a model that accurately captures the current state of Taiwan's electric vehicle (EV) market share. Results indicate that charging stations and financial issues impact EV adoption significantly. Overall, this study demonstrates the usefulness of system dynamics modeling in evaluating policy interventions and identifying critical drivers for promoting the transition to a greener transportation system. [ABSTRACT FROM AUTHOR]

• Most common monorail bridges do not have an isolation system due to their low superstructure weight. • Comparing novel isolated monorail bridges, traditional monorail bridges, and conventional railway bridges. • Evaluating the seismic bridge's responses in the presence or absence of trains using 3D continuum and substructuring models. • Different stop locations of trains on the bridges have a minor influence on the bridge's seismic performance. • In contrast to railway bridges, for monorail bridges, the train presence creates critical conditions under combined vertical-horizontal excitations. Most of the common monorail bridges in the world are non-isolated ones due to their low superstructure weight. Recently, a limited study on the innovative isolated monorail bridges demonstrated that seismic isolation systems can be beneficial to monorail bridges. In this study, a parametric analysis of soil-pile-bridge-train (SPBT) interaction during frequent earthquakes was performed to better understand the seismic behavior of the novel isolated monorail bridges compared to the traditional non-isolated monorail bridges and the conventional railway bridges. To evaluate the influence of train-bridge interaction (TBI) on the seismic response of bridges under the combined vertical and horizontal ground motions, Taiwan Railway Bridge (TRB), and Qom Monorail Bridge (QMB) with and without isolators were selected. A total of 2268 time history analyses, including different isolator shear modulus, train locations in two vehicle modeling approaches, pier heights, and ground motions in different directions, were performed using the substructuring method. The results were verified by comparing the 3D continuum finite elements. The observations indicated that when lateral and vertical excitations were applied simultaneously, for monorail bridges where the trains' weight usually reached up to 50% of the weight of a couple of the guideway beams, the presence of the train led to creating the critical conditions. However, for the conventional railway bridges with relatively low train-to-deck weight ratios (less than 30%) ignoring the train could cause the most critical responses in the SPBT system, regardless of the vehicle modeling approach. It was also found that the efficiency of seismic isolation systems for conventional railway bridges is higher than that for monorail bridges. [ABSTRACT FROM AUTHOR]

From the accident news, it is found that the occurrences of traffic accidents every year and the numbers of deaths and injuries have raised continually and have become a specific issue concerned in society in Taiwan. More seriously, the number of traffic accidents is positively increased with the increasing motorized vehicles. Thus, to reduce the incidence of traffic accidents through by some advanced real-time technologies is an important and interesting work. However, some serious problems against traffic safety are facing, such as the low-quality video saved by a camera, low efficiency facilities supported, inefficient management of surveillance resources, and low definition resolution for cameras, which is resulted in a dilemma problem caused from providing evidence-based images to a local authority either for criteria for judgment or basis for improvement. As a big effort to deal with the above defects for constructing a smart city, this paper makes a main purpose to develop an advanced system of intelligent cloud-based transportation vehicle surveillance (called ICTVSS) for license plate identification. This existing identification algorithm was studied and developed from a combination of improved differential algorithm and improved active contour algorithm. Given such a combination, a novel algorithm of dynamic license identification for smart monitoring was fully realized for constructing a well-defined smart city. The experimental results showed good performance and experienced that the proposed algorithm performed well in locating multi-license plate and differential methods, removing image noise of license plate, and processing constant-inconstant light source from complex environment cases, and guaranteed effective license plate identification from the benefit of high resolutions of digital cameras. [ABSTRACT FROM AUTHOR]