@MISC\{IMM2017-07040,
    author       = "R. A. Eskesen and J. T. Grundahl",
    title        = "Smart City Traffic Management",
    year         = "2017",
    publisher    = "Technical University of Denmark, Department of Applied Mathematics and Computer Science",
    address      = "Richard Petersens Plads, Building 324, {DK-}2800 Kgs. Lyngby, Denmark, compute@compute.dtu.dk",
    note         = "{DTU} supervisor: Christian D. Jensen, cdje@dtu.dk, {DTU} Compute",
    url          = "http://www.compute.dtu.dk/english",
    abstract     = "The concept of smart cities involves a city or urban development, where multiple Information and Communication Technology (ICT) and Internet of Things (IoT) solutions are integrated in a secure way to manage the city’s assets. We want to focus on transportation systems in this regard - more specifically, traffic management with special focus on traffic signals and the control thereof.
The ultimate goal of smart cities, is to improve quality of life using urban informatics and technology to improve the efficiency of the relevant services, while still satisfying the needs of the residents. We aim to benefit a given city (thus ultimately improving the quality of life) by providing a more efficient traffic flow, reducing overall pollution and other general environmental impacts, improving the utilization of the city’s budget, and automating incident detection allowing for quicker responses from a relevant authority. All the while, citizens will ultimately benefit in the form of improved road safety, reduced congestion (and fuel costs), and generally a better driving and commuting experience.
We want to introduce a software-based solution that simulates a relevant environment (i.e. one or more traffic signals) and implements the necessary features to achieve the abovementioned visions. More specifically, the idea is to control the traffic signals in a more dynamic way than the result of using fixed timers and/or simple sensors that provide the green waves today. We want to simulate one or more traffic signals as a local system or a network of local systems respectively. This would require a general model of a traffic signal, where the actual signals are controlled locally based on a local policy and by using inputs from various sensors, and this policy would then be able to communicate with other parts of the network by sending relevant information."
}