Practical modelling of trip re-scheduling under congested conditions

Dynamic Origin - Destination Demand Flow Estimation under Congested Traffic Conditions

This paper presents a single-level nonlinear optimization model to estimate dynamic origindestination (OD) demand. A path flow-based optimization model, which incorporates heterogeneous sources of traffic measurements and does not require explicit dynamic link-path incidences, is developed to minimize (i) the deviation between observed and estimated traffic states and (ii) the deviation between...

The Trip Scheduling Problem

The hours of service regulations of the department of transportation severely restrict the set of feasible driver schedules. So much so that establishing whether a sequence of full truckload transportation requests, each with a dispatch window at the origin, can feasibly be executed by a driver is no longer a matter of simple forward simulation. We consider this problem and prove that the feasi...

Grid Scheduling Optimization Under Conditions of Uncertainty

One of the biggest challenges in building grid schedulers is how to deal with the uncertainty in what future computational resources will be available. Current techniques for Grid scheduling rarely account for resources whose performance, reliability, and cost vary with time simultaneously. In this paper we address the problem of delivering a deadline based scheduling in a dynamic and uncertain...

Nonlinear Modelling of Kerman Combined Cycle Power Plant Drum-Boiler and Drum Level control especially in trip conditions

There are various methods of power generation such as combined cycle power plants. There are many variables in a power plant boiler unit, but the most important variables are Pressure and specially drum level that control system should be put it in the safe range. The purpose of this article is, modifying the oscillatory behavior of the drum level of Kerman combined cycle power plant and especi...

Trip timing and scheduling preferences