The developments of City's infrastructural plays a vital role in the development of smart cities. The critical deterioration of transportation infrastructure including highways, tunnels, and bridges, has serious environmental, and economical impact. With the development of materials science and technology, new methods of monitoring, assessing, rehabilitation and repair these infrastructure found their applications in civil engineering. Incorporation of information and communication technologies (ICT) for real-time interaction, and the use of smart materials are the key of smart structure system. Therefore, in this paper types of smart materials, their applications in smart structure, and concept of smart structures focusing on smart bridges were introduced. A framework for smart technique and components of smart bridge systems was proposed towards the development of smart city and Sustainable Environment. Finally, this research could be the base for more research in the field of smart structure system and their applications in Oman.
27 January 2020 in Personal and Ubiquitous Computing
Dynamic hard shoulder running and ramp closure are two active traffic management (ATM) strategies that are used to alleviate highway traffic congestion. This study aims to evaluate the effects of these two strategies on congested freeways under non-recurring congestion. The study’s efforts can be considered in two parts. First, we performed a detailed microsimulation analysis to quantify the potential benefits of these two ATM strategies in terms of safety, traffic operation, and environmental impact. Second, we evaluated the implementation feasibility of these two strategies. The simulation results indicated that the implementation of the hard shoulder showed a 50%–57% reduction in delay, a 41%–44% reduction in fuel consumption and emissions, and a 15%–18% increase in bottleneck throughput. By contrast, the implementation of ramp closure showed a 20%–34% decrease in travel time, a 6%–9% increase in bottleneck throughput, and an 18%–32% reduction in fuel consumption and emissions. Eventually, both strategies were found to be economically feasible.
18 January 2021 in Journal of Ambient Intelligence and Humanized Computing