Optimization models for assessing the peak capacity utilization of intelligent transportation systems

Abstract-Cyber-physical systems typically involve a large number of mobile autonomous devices that closely interact with each other and their environment. Standard design and development techniques from the embedded domain fail to accurately model the dynamics of such systems and, hence, there is an increasing need for new programming models and abstractions. Component-based design approaches are a promising solution to manage the complexity of large-scale dynamic systems. However, existing such approaches either do not accurately model transitory interactions between componentswhich are typical of cyber-physical systems -or do not provide guarantees for real-time behavior which is essential in many safety-critical applications. To overcome this problem, in this paper, we present a component-based design technique based on DEECo (Dependable Emergent Ensembles of Components). The DEECo framework allows modeling large-scale dynamic systems by a set of interacting components. In contrast to other component-based design approaches from the literature, DEECo provides mechanisms to describe transitory interactions between components. We introduce necessary extensions to the DEECo design flow and integrate it with real-time analysis techniques that allow reasoning about timing behavior at the component-description level. Finally, we illustrate the simplicity and usefulness of our approach on a case study consisting of an intelligent crossroad system.

show abstract

“…At the AP we consider a collision-free communication protocol as per some VANet technique [10], [11], [12], [13]. …”

Section: Discussionmentioning

confidence: 99%

“…A number of techniques have been already proposed to realize collision-free communication in VANets [10], [11], [12], [13]. In addition, since VANets are usually based on wireless communication [14], we assume that Ethernet IEEE 802.1Q is the underlying protocol.…”

Section: B Communication Networkmentioning

confidence: 99%

Towards Component-Based Design of Safety-Critical Cyber-Physical Applications

Masrur

Kit

Bure

et al. 2014

2014 17th Euromicro Conference on Digital System Design

View full text Add to dashboard Cite

show abstract

“…It has many negative consequences [1] such as longer travel times, lower security level [2] and increased fuel consumption. Choosing a less congested route, even longer, has become an omnipresent concern for each one of us.…”

Section: Introductionmentioning

confidence: 99%

“…Vehicles autonomously optimize their paths to their destinations based on traffic information provided by RSUs. Authors in [1] discuss the vehicle scheduling problem, they try to schedule vehicles trips so that the average travel time is reduced. However, both approaches are not really adapted to high traffic density environment.…”

Section: Related Workmentioning

confidence: 99%

Road traffic management based on self-load-balancing approach

Adnane

Sadik

Talal

et al. 2016

Int. J. Simul. Multisci. Des. Optim.

View full text Add to dashboard Cite

-Traffic congestion is one of the most challenging problems for nowadays cities. Several contributions mainly based on V2V (Vehicle-to-Vehicle) communication have been published, but most of them have never been applied due to their communication related problems and costs. In this article, a novel cost-effective approach is introduced inspired by social life of insects where direct (V2V) communication does not exist anymore. Vehicles are equipped with devices that perform simple tasks, but their interactions with the environment through RSUs (Road Side Units) allow the creation of an intelligence which notifies drivers about congested road segments to avoid them. We call this emerging behavior self-load balancing. Description of the fundamentals of this approach and its performance are detailed in this work.

show abstract

“…ITS is an advanced information technology, data communication transmission technology, electronic sensor technology, control technology and the effective integration of computer technology applied to the entire surface traffic management system. The typical ITS handles the multimedia information, current state attributes and communication functions.A multi-agent system that carries out the mixed integer programming model and the space-time network flow model was proposed by Shah et al, wherein each agent can decide on its own behavior for the situation of its environment [1]. A solution for solving the problem of congestion and traffic management was proposed by Ameur et al, which based on…”

mentioning

confidence: 99%

A secure handshake scheme with pre-negotiation for mobile-hierarchy city intelligent transportation system under semi-honest model

Ли

Gong

Yang

et al. 2014

16th International Conference on Advanced Communication Technology

View full text Add to dashboard Cite

Abstract-Mobile-hierarchy architecture was widely adopted for query a deployed wireless sensor network in an intelligent transportation system recently. Secure handshake among mobile node and ordinary nodes becomes an important part of an intelligent transportation system. For dividing virtual communication area, pre-negotiation should be conducted between mobile node and ordinary node before formal handshake. Pre-negotiation among nodes can increase the odds for a successful handshake. The mobile node negotiates with an ordinary sensor node over an insecure communication channel by private set intersection. As an important handshake factor, Attribute set is negotiated privately among them in local side. In this paper, a secure handshake scheme with pre-negotiation for mobile-hierarchy city intelligent transportation system under semi-honest model is proposed. Keywords-Attribute-based handshake; Private set intersection;Intelligent transportation system; Wireless sensor network; Attribute Encryption I. INTRODUCTIONThe significant advances in hardware manufacturing technology and the advent of the Micro-Electro-MechanicalSwitches (MEMS) paved the way for building smart sensor nodes that are capable of performing three important functions: sensing, processing, and wireless communication. In order to fundamentally solve traffic jam, parking and emergency traffic problem, intelligent transportation systems (ITS) is proposed. ITS is an advanced information technology, data communication transmission technology, electronic sensor technology, control technology and the effective integration of computer technology applied to the entire surface traffic management system. The typical ITS handles the multimedia information, current state attributes and communication functions.A multi-agent system that carries out the mixed integer programming model and the space-time network flow model was proposed by Shah et al., wherein each agent can decide on its own behavior for the situation of its environment [1]. A solution for solving the problem of congestion and traffic management was proposed by Ameur et al., which based on

show abstract

Optimization models for assessing the peak capacity utilization of intelligent transportation systems

Cited by 31 publications

References 30 publications

Towards Component-Based Design of Safety-Critical Cyber-Physical Applications

Towards Component-Based Design of Safety-Critical Cyber-Physical Applications

Road traffic management based on self-load-balancing approach

A secure handshake scheme with pre-negotiation for mobile-hierarchy city intelligent transportation system under semi-honest model

Contact Info

Product

Resources

About