In traditional traffic assignment procedure, each traffic analysis zone is represented by one point in its geometric center which is connected to the network by several connectors. Results of studies show that different connector patterns would result up to 10% change in estimated volume and up to 20% change in total travel time. Also the different patterns of connectors can change the priority...

This paper presents a load balancing method to improve network utilization when static routing algorithms are employed. Static routing algorithms can generally be reduced to a path assignment problem with the aim of minimizing a cost function: i.e., maximizing network revenues. Unfortunately the problem, when multiple constraints such as different QoS traffic classes are present, is computation...

The regional travel demand models are generally macroscopic in nature and do not include traffic controls in the traffic assignment process. In travel demand models, the road capacities are kept fixed within the functional classification of roadways and free-flow-speeds are adjusted to accommodate the impacts of traffic controls and traffic operations. Part of the reason this approach is adopte...

Deterministic traffic assignment is based on the assumption that each user is perfectly informed about the topology of the network and the costs that he would incur by travelling on any road arc. In this context, as a rational decision maker he will choose to travel on a shortest path, i.e. one among the paths connecting on the network his origin to his destination with the least cost. Any cong...

In this paper, we propose a Cross Entropy (CE) [1] based multiagent approach for solving static/dynamic traffic assignment problems (TAP). This algorithm utilizes a family of probability distributions in order to guide travelers (agents) to network equilibrium. The route choice probability distribution depends on the average network performance experienced by agents on previous days. Based on t...

Abstract Solving the road congestion problem is one of most pressing issues in modern cities since it causes time wasting, pollution, higher industrial costs and huge maintenance costs. Advances ITS technologies advent autonomous vehicles are changing mobility dramatically. They enable implementation a coordination mechanism, called coordinated traffic assignment, among sat-nav devices aiming a...

Traffic networks inherently exhibit several degrees of decomposition, both hierarchically and geographically, and traffic control has been, in practice, severely influenced by this decomposition. Anticipatory Traffic Control literature (Allsop, 1974), in its own, deals with the fact that user behavior can be, at least to some degree, predicted, and that an “optimal” controller should take this ...

In this paper, we address the wavelength assignment problem for light-tree protection under different traffic models. For static traffic, we formulate the problem mathematically and propose two new heuristics (tabu search and iterated hill-climber) to solve it. For dynamic traffic, in contrast to previous work, we analyze the traffic characteristics and propose a Low Cost First Serve (LCFS) str...

Traditional Wireless Sensor Networks (WSNs) based on carrier sense methods for channel access suffer from reduced bandwidth utilization, increase energy consumptions and latency problems in networks with high traffic. In this work, a novel Evolutionary Slot Assignment (ESA) algorithm has been developed to increase the throughput of large wireless mesh networks with no centralized controller. In...