Sharif Digital Repository

The thesis is about transit network scheduling problem and aims to minimize waiting time at transfer stations. The problem is formulated as a mixed integer programing model that gives departure times of vehicles in lines so that passengers can transfer between lines at transfer stations with minimum waiting time. The model is expanded to another model by considering an extra stoping time of vehicles at transfer stations as a new variable set. By calculationg the optimal value for these variables, transfers could be done in a better condition. The sizes of the models are small enough that the models can be solved for small and medium size networks using regular MIP solvers. Moreover, a... 

Decreasing travel time is one of the main goals of passengers in urban areas for which transportation operators use various policies. Among these policies, expanding public transportation facilities is one of the urban planner major purposes. Considering the fact that making these facilities needs great investment, optimize use of the current facilities is valuable. Waiting time in transit station has influence on increasing passengers’ travel time and inconsistency, so coordination between different transit lines is necessary. In this thesis, creating coordination among different transit lines in a transit network by the use of integer programming is studied in the form of two models. In... 

Sustainable transportation is a system that allows the basic access needs of individuals and societies to be met safely and in a manner consistent with human and ecosystem health, and is affordable with equity within and between generations. The current research of sustainable transportation uses environmental, economic, social and transportation variables of various world cities. The study database was developed based on global urban transportation databases covering numerous cities for 4 decades for period of 1960 to 2001, Furthermore 3 decades of pertinent variables for Iranian cities of Isfahan, Tehran and Mashhad. Firstly sustainable transportation indicators were developed by reviewing... 

Improvement of public transportation systems through attention to service quality of these systems, is important in order to increase the use of these systems. Various quantitative and qualitative attributes of travel are known effective on service quality of public transportation. The investigated factors in this research, with refrence to regular bus system of the city of Tehran, are: in-vehicle time, fare, crowding and headway. For this purpose, the stated preference data of the respondents who travel to work by regular bus, collected. The survey was conducted during the last month of spring and 360 questionnaires were completed. Stated preference scenarios relating to aforementioned... 

Travel time is the most significant element in choosing among different modes of transportation. In order to increase the public transportation’s utility we need to utilize some methods to reduce public transportation travel time and passenger delay. Bus system, as one of the major types of public transportation, is mainly influenced by the traffic flow more than other types of public transportation. In order to increase the bus system’s reliability we need to utilize a controlling system so that we could increase its movement discipline and reduce line’s disruption. In this research we proposed an optimization model based on bus holding strategy and the real-time data from the route. This... 

Stop-skipping and timetable synchronization in a transit network for subway operation are two effective strategies to reduce passengers' total travel time.Most of the current research on the topic does not consider stop-skipping strategy and timetable synchronization simultaneously. This paper proposes a mixed-integer programming model based on passenger smart-card data concerning the trains' capacity to minimize passengers' total waiting time and in-vehicle time and maximize the number of passengers who successfully reach their destination. Since increasing the number of trains, stations, or the study horizon, exponentially increase the size of the problem, seeking practical methods to... 

This study evaluates the impact of fuel price increase on urban and interstate travel demands via the linear regression model. Indeed this study has two aims. First, analyze the effect of fuel price increase on travel demands of two modes of transit ridership (Subway and Bus Rapid Transit), and determine the cross elasticity of demands. To achieve the demands, the origin-destination matrix of each mode was obtained using automated fare collection data and the trip-chaining method. Second, examine the impact of fuel price increase on interstate travel demands and provide the elasticity of vehicle-kilometer traveled with respect to fuel price. The ordinary least-square method was used to...