Passenger flow modeling and station dwelling time estimation are significant elements for railway mass transit planning, but system operators usually have limited information to model the passenger flow. In this paper, an artificial-intelligence technique known as fuzzy logic is applied for the estimation of the elements of the origin-destination matrix and the dwelling time of stations in a ra...

In this paper, we give an overview of state-of-the-art Operations Research models and techniques used in passenger railway transportation. For each planning phase (strategic, tactical and operational), we describe the planning problems arising there and discuss some models and algorithms to solve them. We do not only consider classical, well-known topics such as timetabling, rolling stock sched...

Passenger flow safety detection in high-speed railway transport hub is considered in this paper. For accurately detecting the passenger flow safety, an improved watershed algorithm and a recognition algorithm are respectively proposed in sensor-based detection process. Computational experiments on sensor data from a specific Chinese high-speed railway transport hub show that the proposed algori...

Study on search algorithm of passenger travel route in railway transport network is of great importance in evaluation on railway operation benefit. Based on features of large-scale network and railway passenger transportation organization, the paper firstly innovatively puts forward the generation method of alternative route set in multiple constraint conditions. K short routes is proposed base...

The evaluation of quality of the railway passenger service is an important way to know the quality of the railway passenger service. This paper firstly constructs an evaluation indicator system of the quality of the railway passenger service on the foundation of the related literatures, and constructs the multiple-attribute evaluation matrix and indicator weight vector based on the linguistic v...

Short-term passenger flow forecasting is an important component of transportation systems. The forecasting result can be applied to support transportation system operation and management such as operation planning and revenue management. In this paper, a divide-and-conquer method based on neural network and origin-destination (OD) matrix estimation is developed to forecast the short-term passen...

The aim of this paper is to propose an integrated planning model to adequate the offered capacity and system frequencies to attend the increased passenger demand and traffic congestion around urban and suburban areas. The railway capacity is studied in line planning, however, these planned frequencies were obtained without accounting for rolling stock flows through the rapid transit network. In...

after 1860’s the railway systems has started to be used in urban transportation in the world. however, especially after the 1950’s, automobile usage has been increased quickly. thus the dense of transportation has started to move from railway systems to the ones with rubber tire vehicles in istanbul. traffic density in urban transportation has started to be experienced since 1950 with the incre...

Passenger's optimal path choice is one of the prominent research topics in the field of railway passenger transport organization. More and more different train types are available, increasing path choices from departure to destination for travelers are unstoppable. However, travelers cannot avoid being confused when they hope to choose a perfect travel plan based on various travel time and cost...

The broad goal of this thesis is to demonstrate the potential positive impacts of applying automatic data to the management and tactical planning of a modern urban railway. Tactical planning is taken here to mean the set of transport-specific analyses and decisions required to manage and improve a railway with time horizons measured in weeks, months, or up to a year and little or no capital inv...