An increasing number of vehicles is causing various traffic problems such as chronic congestion of highways and air pollution. Local governments have been managing traffic by constructing systems such as Intelligent Transport Systems (ITS) and Advanced Traffic Management Systems (ATMS) to relieve such problems, but construction of an infrastructure-based traffic system is insufficient in resolving chronic traffic problems. A more sophisticated system with enhanced operational management capabilities added to the existing facilities is necessary at this point. As traffic patterns of the urban traffic flow is time-specific due to the different vehicle populations throughout the time of the day, a local network-wide signal operation plan that can manage such situation-specific traffic patterns is deemed to be necessary. Therefore, this study is conducted for the purpose of establishment of a plan for contextual signal control management through signal optimization at the network level after setting the Frame Signal in accordance to the traffic patterns gathered from the short-term traffic forecast data as a means to mitigate the problems with existing standardized signal operations.
The purpose of this study was to develop land use planning methods for carbon reduction of transportation and verify the effectiveness. Therefore, this study derived carbon reduction design elements, such as high-density suburb, mixed-use development, pedestrian network and community corridor, which can be applied in the land-use planning stage by examining previous research. The carbon reduction design elements utilized the actual site during the research process. The carbon reductions were estimated using VISUM. Consequently, when carbon reduction design is applied to the site, the carbon emissions declined in the year. As a result of estimating the carbon reduction, approximately 450.7tCO2/yr was reduced.
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