Магистерская диссертация состоит из введения, трех глав, заключения, списка литературы и приложения. В работе рассмотрен мировой опыт развития придорожного сервиса. Особенности строительства вне населенных пунктов. Изучены основные требования к придорожным многофункциональным зона, проведен анализ и оценка инфраструктуры дорожной сети, посчитана выручка по основному виду деятельности. Произведен расчет финансовых затрат на разработку группы проектов, проведена оценка экономической эффективности проекта, произведен расчет экономических показателей эффективности. В заключении сформулированы основные выводы и обобщены результаты исследования. / The master's thesis consists of an introduction, three chapters, a conclusion, a list of references and an Appendix. The paper considers the world experience of roadside service development. Features of construction outside settlements. The basic requirements for roadside multifunctional facilities were studied, the analysis and evaluation of the road network infrastructure was carried out, the revenue for the main activity was calculated. The calculation of financial costs for the development of a group of projects, the evaluation of the economic efficiency of the project, the calculation of economic performance indicators. In conclusion, the main conclusions are formulated and the results of the study are summarized.

<p>Smart downlink scheduling can be used to reduce infrastructure-to-vehicle energy costs in delay tolerant roadside networks. In this thesis this type of scheduling is incorporated into ON/OFF roadside unit sleep activity, to further reduce infrastructure power consumption. To achieve significant power savings however, the OFF-to-ON sleep transitions may be very lengthy, and this overhead must be taken into account when performing the scheduling. The OFF/ON sleep transitions are incorporated into a lower bound on energy use for the constant bit rate air interface case. An online scheduling algorithm referred to as the Flow Graph Sleep Scheduler (FGS) is then introduced which makes locally optimum ON/OFF cycle decisions. This is done by computing energy estimates needed both with and without a new OFF/ON cycle. The energy calculation can be efficiently done using a novel minimum ow graph formulation. We also consider the fixed transmit power, variable bit rate, air interface case. As before, a lower bound on RSU energy use is computed by formulating and solving an integer program. Results from a variety of experiments show that the proposed scheduling algorithms perform well when compared to the energy lower bounds. The algorithms are especially attractive in situations where vehicle demands and arrival rates are such that the energy costs permit frequent ON/OFF cycling.</p> / Master of Science (MSc)