A Parking-state-based Transition Matrix of Traffic on Urban Networks
نویسندگان
چکیده
منابع مشابه
Urban Regional Traffic State Analysis Software System Emphasizing Pattern Transition
Urban traffic state evolution analysis is very significant and constructive for traffic guidance and control. In this paper, a quantitative method for analyzing regional traffic state evolution was proposed by constructing traffic state pattern transition network to mine regional traffic state information and state pattern transition characteristics from massive data. Based on the method, a GIS...
متن کاملHow Much Urban Traffic is Searching for Parking?
In this paper we explore city-level traffic and parking data to determine how much cruising for curbside parking contributes to overall traffic congestion. To this end, we describe a new kind of queueing network and present a data-informed model based on this new queuing network. We leverage the data-informed model in developing and validating a simulation tool. In addition, we utilize curbside...
متن کاملOptimal Allocation of Electric Vehicles' Parking Lots in Distribution System Considering Urban Traffic
Abstract: Parking lots for electric vehicles (EVs) can make good utilization of the EVschr('39') battery capacity due to the large number of EVs. However, the location and size of parking lots will affect the distribution network condition. In this paper, a mixed-integer linear programming (MILP) model is proposed for locating and determining the optimal capacity of EVschr('39') parking lots co...
متن کاملDetecting Active Bot Networks Based on DNS Traffic Analysis
Abstract—One of the serious threats to cyberspace is the Bot networks or Botnets. Bots are malicious software that acts as a network and allows hackers to remotely manage and control infected computer victims. Given the fact that DNS is one of the most common protocols in the network and is essential for the proper functioning of the network, it is very useful for monitoring, detecting and redu...
متن کاملDetecting Bot Networks Based On HTTP And TLS Traffic Analysis
Abstract— Bot networks are a serious threat to cyber security, whose destructive behavior affects network performance directly. Detecting of infected HTTP communications is a big challenge because infected HTTP connections are clearly merged with other types of HTTP traffic. Cybercriminals prefer to use the web as a communication environment to launch application layer attacks and secretly enga...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Transportation Research Procedia
سال: 2015
ISSN: 2352-1465
DOI: 10.1016/j.trpro.2015.06.009