s-ITSF: a service based intelligent transportation system framework for smart accident management

Abstract

Recently, traffic jams and accidents increase due to increase of traffic volume. Thus, intelligent transport system (ITS) is developed to provide efficient road situation and information is actively studying. However, it is mainly focused on traffic jam and management of traffic situation that a systematic management is not provided when an accident occurs. An action to prevent an accident providing the reliable information and a systematic management after accident is needed. In this paper we propose a service based intelligent transportation system framework (s-ITSF) to provide efficient and systematic accident management. The s-ITSF provides an efficient ITS service such as before/after accident management using the accident prevention and management and traffic information data through provision of highly reliable information through encryption and authentication based on vehicular cloud computing (VCC) environment. In addition, it provides systematic accident management which may reduce loss of lives and properties from the traffic accident by quick settlement.

Secure vehicle traffic data dissemination and analysis protocol in vehicular cloud computing

“…Hybrid vehicle cloud is a combination of the above architectures also referred as vehicular cloud computing (VCC). The feasibility of VCC was adopted by several researchers [18,25], though security issues within the cloud computing is still an attractive on-going research whereby different secure protocols have been proposed [19]. In this paper, we construct our protocol based on VANETs using Cloud architecture.…”

Advances in intelligence and internet of things for human-centric computing

“…The signal in this model provides coordinated tracking with different levels of traffic priority for the emergency situation. Shortening the travel time for emergency vehicles is an important issue to find the optimized emergency path from a rescue party to an incident location (Lee et al 2015). The proposed model uses bi-level programming to solve this problem.…”

SINR-Based MCS Level Adaptation in CSMA/CA Wireless Networks to Embrace IoT Devices

“…For this, we fix the number of wireless devices at 60 and increase the number of APs from 2 to 60 (i.e., 2,4,6,10,20,30,40, and 60) in a circular area with a radius of 1000 m.…”

“…Some examples are smart homes [2], smart vehicles [3], and smart safety [4]. However, for widespread deployment of IoT-based services, IoT technologies still need to be improved in many aspects such as power [5], connectivity, and privacy [6].…”