The main objective of this article is to gain fundamental understanding on the effect of real time information acquisition, on the traffic conditions of the Athens greater area. Activity scheduling is a dynamic process, where individuals often need to modify their schedule, as a result of new insights. Research so far hasn't analyzed the effect of traffic information acquisition, in activity sc...

Due to unforeseen problems, disruptions occur at railway passenger operators. Proper real-time crew management is needed to prevent disruptions to spread over space and time. Netherlands railways (NS) has algorithmic support from a solver to obtain good crew rescheduling solutions during big disruptions. However, small disruptions are still manually solved by human dispatchers who have limited ...

Rescheduling is a means of managing internal and external disturbances in order to satisfy customer demand subject to resource constraints. The extent and nature of rescheduling have some effects on the overall complexity of the manufacturing facility. Complexity is associated with the variety and uncertainty within manufacturing systems. Complexity can be classified into static and dynamic. St...

This paper presents an overview of recovery models and algorithms for real-time railway disturbance and disruption management. This area is currently an active research area in Operations Research, including real-time timetable rescheduling and real-time rescheduling of the rolling stock and crew duties. These topics are addressed in this paper. Also research dealing with the integration of mor...

Transforming the electric power system to incorporating a considerably increased share of renewable distributed generation implicates new challenges for the control of the system. To overcome the known shortcomings of centralized control, e.g. regarding scalability and robustness, a decentralized, self-organized system of agents for generators, loads and storages is widely discussed. We focus o...

This paper proposes a novel approach for generation scheduling using sensitivitycharacteristic of a Security Analyzer Neural Network (SANN) for improving static securityof power system. In this paper, the potential overloading at the post contingency steadystateassociated with each line outage is proposed as a security index which is used forevaluation and enhancement of system static security....

This paper discusses optimization of freight train locomotive rescheduling under a disrupted situation in the daily operations in Japan. In the light of the current framework of dispatching processes that passenger railway operators modify the entire timetables, the adjusted timetable is distributed to a freight train operator. We solve the locomotive rescheduling problem for the given adjusted...

Airline rescheduling is a relatively new field in airline Operations Research but increasing amounts of traffic will make disturbances to the original schedule more frequent and more severe. Thus, the need to address the various problems arising from this situation with systematic, cost-efficient approaches is becoming more urgent. One such problem is crew rescheduling where after a disturbance...

This thesis presents results in two areas. The first area is automated planning. Approaches to the domain-independent automated planning can be divided into two groups: STRIPS-like planning (based on operators) and HTNlike planning (based on hierarchical decomposition). It is widely believed, that the expressivity of STRIPS-like planning is lower than the expressivity of HTN-like planning. This...

Publications in the working paper series are issued for discussion and are not considered final reports. Comments are invited. In flight scheduling, airlines usually determine optimal timing for their flights to respond to time-dependent demand and the requirement of frequency plans, of available fleets and of aircraft routings. Nevertheless, it is unavoidable that some flights cannot actually ...