This paper examines the application of a path-based algorithm, to the static and fixed demand asymmetric traffic assignment problem. The algorithm is of the simplicial decomposition type and it solves the equilibration or master problem step by means of five existing projection methods for variational inequality problems in order to evaluate their performance on real traffic networks. The proje...

We address the problem of routing and wavelength assignment (RWA) considering differentiated reliability (DiR) in WDM mesh networks. The backup resource can be shared by the primary lightpaths. However, both the primary-backup sharing and the different levels of fault tolerance requirement have never been considered together in the literature. In the paper, we consider the dynamic character of ...

This dissertation investigates routing optimization and capacity assignment in IP networks with multiple services. Both are key processes of traffic engineering and network planning, needed for cost-efficient, quality of service (QoS) aware operation of IP networks. Routing optimization provides a means to balance the traffic load in the network with the goal to improve quality of service. The ...

The present paper provides an empirical investigation of the potential impacts of advanced traffic control measures, such as route guidance information, on traffic flow patterns. The simulation-based quasi-dynamic traffic assignment model (DNA) used appears to be an efficient tool for capturing the demand profile changes of drivers under the presence of information-based control measures. The r...

We address the problem of capacity assignment in packet networks with soft maximum waiting time guarantees. We present a multi-level framework for designing and analyzing capacity assignment methods in multiservice networks. Moreover, we propose a novel capacity assignment method that provides a tradeoff between capacity requirements and quality for the voice traffic class. The proposed method ...

The shortest path planning issure is critical for dynamic traffic assignment and route guidance in intelligent transportation systems. In this paper, a Particle Swarm Optimization (PSO) algorithm with priority-based encoding scheme based on fluid neural network (FNN) to search for the shortest path in stochastic traffic networks is introduced. The proposed algorithm overcomes the weight coeffic...

In recent years due to improvements of technology within automobile industry, design process of advanced driver assistance systems for collision avoidance and traffic management has been investigated in both academics and industrial levels. Detection of traffic signs is an effective method to reach the mentioned aims. In this paper a new intelligent driver assistance system based on traffic...