|SCHETTINI TOMMASO||Cycle: XXXIII |
Section: Systems and Control
Tutor: PIRODDI LUIGI
Advisor: MALUCELLI FEDERICO Major Research topic
:Demand-Driven Time-Tabling optimization for automated metro lines.Abstract:
With the recent growth of urban populations, efficiently managing transit systems has become a top priority to local authorities. The widespread adoption of automated transit systems, coupled with the increased availability of passenger demand-related information opens several avenues of innovative management of transit systems.
In particular, from the control standpoint, automatic systems provide several advantages to the system and pose interesting new optimization challenges on how to fully harness their benefits. The lack of a driver completely removes the need for personnel scheduling and rostering, which has traditionally been a very complex and delicate aspect of operating transit services. Thus, automated systems are allowed far more freedom in their control strategies, making it possible to employ more flexible timetables, which furthermore can more easily be changed dynamically to accommodate for the needs of the line.
Possibilities which, if used correctly, can yield noticeable performance improvements for the end-user.
In this thesis, we develop novel control strategies for automated lines aimed at fully exploiting their benefits, to achieve a truly demand-driven timetabling approach, and improve the passenger's service quality. In particular, we deviate from established methods in two significant ways.
Firstly, we do not impose any structural constraint in the definition of the timetabling of a line, but let the model organically determine the structure of the timetable to match the demand and achieve optimal service quality. Secondly, we allow the usage of short-turning in the timetabling.
As a preliminary study of the usage of short-turning in metro lines, we develop a short-turning strategy to handle the demand associated with a special event (e.g., a football match or a concert).
Afterwards, we study the usage of short-turning in regular timetabling. We introduce an alternative demand-driven control paradigm, called Direct Timetabling.
According to this paradigm, the operators control the trains individually rather than imposing a predetermined structure for the entire timetable. Additionally, short-turning decisions are directly integrated into the optimization of the timetable. This allows far more flexibility in the control decisions of the line, which can be used to better adapt to variations of passenger demand.