Beacon Technology for Real-Time Informing the Traffic Network Users About the Environment

Abstract

Informing the users about their environment is of extreme importance for their full and independent functioning in the traffic system. Today’s development of technology provides the user the access to information about their environment by using the smartphone device at any moment if there is a defined applicative solution. For this, it is necessary to define the user’s environment according to the Ambient Assisted Living (AAL) concept, which understands adequate technology of gathering, processing and distribution of information. This paper presents the proposal of the solution for informing the traffic network users about the environment for the defined group of users based on the beacon technology. The mentioned solution is based on the results of two separate studies about the needs of users who move along a part of the traffic network. The aim of the proposed solution is to provide the user with precise and real-time information and to raise the level of safety during movement.

Approach to Determine Transport Delays at Unsignalized Intersections

“…For such person categories, engineering structures are developed and information tools are introduced based on smart technologies that increase the driving safety on street and road networks. Information to these persons about the current traffic functioning can be obtained through the corresponding applications in smartphones, as well as smart bracelets [40][41].…”

Deep learning and mobile control system for hazardous materials transportation

“…Customizable thresholds are proposed to avoid undesirable triggers and save staff team resources in the occurrence of a false accident. Human actions can be automated according to the numeric data type presented in Table 2, and the results of their correlation presented in Equation (11).…”

“…It has been suggested that smartphone sensors associated with mobile applications produce powerful solutions, such as learning the behavior and trajectory issues of blind and partially sighted people. [7][8][9][10][11] These solutions consider the combined use of cloud computing with global navigation satellite system (GNSS), near field communication (NFC), bluetooth, wifi, radiofrequency identification (RFID), or global system for mobile (GSM) communication technologies.…”

Recognition method of traffic violations based on complex interaction between multiple entities

“…Second, it is difficult to design appropriate feature sets to detect vehicle violations of multientity interactions. For example, careful consideration of the movement of the blind and visually impaired persons in the traffic intersection is required, [20][21][22][23] to accurately identify the validity of pedestrian behavior. Finally, it is challenging to develop an appropriate optimization algorithm applicable to pedestrian violation datasets due to the weak supervision of relevant datasets.…”