A Study of Applying Mobile Detector on Traffic Signal Control Which Considering Travelers consumption Impact
Date Issued
2015
Date
2015
Author(s)
Li, Yi-Ru
Abstract
With the rapid development of technology, Internet and wireless communication technology have been widely accessible to the general public. Concurrently, the sophistication of hardware facilities is significantly increased. Nowadays, smart mobile devices have become the necessity for people and are not limited for communication use merely. In recent years, the rise of the Internet of Things (IOT) facilitates the integration of communication, control, and information processing across various transportation systems. Applications of the IOT have been extended to broad aspects of transportation system management, which addresses the communications between road users, vehicles, and infrastructures. Flexible and real-time interaction between the components of a transportation system enables inter/intra vehicular communication, smart traffic control, dynamic data acquisition, road assistance, etc. Smart mobile devices are so powerful that have greatly lowered the barrier and cost for traffic detection, thereby making it possible to establish a data collection platform in a short time. The progress in communication science and technology also shifts the way of thinking of the whole society, leading a trend of transportation development from a vehicle-based context to a human-based one. Traditional traffic control is built largely based on vehicle-oriented considerations and operated by using the associated data. Hence, this study seeks to use smart mobile devices as detectors to collect a new type of traffic data, such as passenger/consumer information and to develop an adaptive control algorithm thereupon, where both delay and carbon emission are considered.
Subjects
Mobile Vehicle Detector
Adaptive Control
Internet of Things
Carbon Emission
Transportation Economics
Type
thesis
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