The focus of this thesis is to include the passengers and their behavior inside the train timetable design. This is done through three main objectives: timetable design based on passenger satisfaction, exploitation of hybrid cyclicity and choice based revenue optimization. At first, a new Passenger Centric Train Timetabling Problem is introduced into the planning horizon of the passenger railwa...

For many people in Australia, crowding is a major issue and an unavoidable aspect of their daily rail commute. Australian passenger experiences, perceptions of, and their reactions to crowding are not well understood. To gain an understanding of passenger perceptions and tolerance of railway crowding and the impact of passenger behaviour on the crowding experience, qualitative (Stage 1) and qua...

In the context of public transportation system, improving the service quality and robustness through minimizing the average passengers waiting time is a real challenge. This study provides robust stochastic programming models for train timetabling problem in urban rail transit systems. The objective is the minimization of the weighted summation of the expected cost of passenger waiting time, it...

Economy development and promotion of high-speed transport technologies result in the increase of inter-city high-speed passenger transport. The energy consumption over the lifetime of transport infrastructure, composed of construction and operation energy consumption, is a significant factor that should be considered at the planning stage. In this paper, we present a mixed-integer programming (...

The objective of this study was to make a comparative evaluation of mainline and sub-urban rail vehicles in terms of ergonomic variables of Safety and Comfort. As an end result the objectives were also to make recommendations for the rail vehicle manufacturers industry for future vehicle design. The results of the evaluation allowed us to draw some conclusions and recommendations about future r...

We propose a novel algorithm for the capacitated passenger assignment problem in public transportation where priority lists define the order in which passengers are assigned. The originality of our approach is to define the priority rules exogenously. Separating explicitly theses rules from the assignment procedure allows for a great deal of flexibility to model various priority rules. Computat...

In this paper, a novel network planning process of the Mobile WiMAX for Railway (WiMAX-R) network is proposed. We first analyze the factors need considered in network planning. After introducing the WiMAX-R network architecture, the WiMAX-R network planning process is presented in detail. The process comprises application analysis, capacity prediction, network parameters configuring, coverage p...

In this paper we describe a two-stage optimization model for determining robust rolling stock circulations for passenger trains. Here robustness means that the rolling stock circulations can better deal with large disruptions of the railway system. The two-stage optimization model is formulated as a large Mixed-Integer Linear Programming model. We first use Benders decomposition to determine op...

A wireless sensor network (WSN) consists of spatially distributed autonomous sensors to monitor physical or environmental conditions, such as temperature, sound, and pressure to cooperatively pass their data through the network to a main location. It provides a bridge between the real physical and virtual worlds. The more modern networks are bi-directional, also enabling control of sensor activ...

This paper proposes a multi-objective Gannet Optimization Algorithm (MOGOA) to address the issue of unbalanced train occupancy rates in railway operation planning. MOGOA employs an adaptive multi-population co-evolutionary strategy balance exploration and exploitation, utilizing non-dominated sorting algorithm based on crowding distance select parent child samples. These samples serve as initia...