Probabilistic Analysis of Route Deviation Bus Lines
نویسندگان
چکیده
Route Deviation Bus Lines (RDBLs) constitute a hybrid between traditional fixed-route bus lines and demand responsive, dial-a-ride systems; they are viewed as a promising way to combine responsive transportation services with high productivity. We investigate the performance of Route Deviation Bus Lines through development of some simplified probabilistic models. The dependence of performance on such parameters as the demand intensity at checkpoints, the magnitude and distribution of headways and the number of checkpoints are explored. This study begins by describing the problem and then identifies the different issues in the probabilistic analysis of RDBLs with emphasis on the two generic processes of bus systems: the arrival process of passengers, and the service process. We derive closed form expressions for the one call box case (Chapter III) and describe the way of solving the two call boxes cases (Chapter IV) and then the n call boxes case (Chapter V). Throughout this work we assume homogeneous Poisson arrivals at the call boxes and independent and identically distributed headways between buses. Our analysis clearly demonstrates that relaxation of these assumptions would have a major negative impact on the mathematical tractability of our models. Several interesting questions for further research are also identified. Thesis Supervisor: Dr. Amedeo R. Odoni Titles: Professor of Aeronautics and Astronautics Professor of Civil Engineering
منابع مشابه
A statistical analysis framework for bus reliability evaluation based on AVL data: A case study of Qazvin, Iran
Reliability is a fundamental factor in the operation of bus transportation systems for the reason that it signifies a straight indicator of the quality of service and operator’s costs. Todays, the application of GPS technology in bus systems provides big data availability, though it brings the difficulties of data preprocessing in a methodical approach. In this study, the principal component an...
متن کاملProbabilistic Multi Objective Optimal Reactive Power Dispatch Considering Load Uncertainties Using Monte Carlo Simulations
Optimal Reactive Power Dispatch (ORPD) is a multi-variable problem with nonlinear constraints and continuous/discrete decision variables. Due to the stochastic behavior of loads, the ORPD requires a probabilistic mathematical model. In this paper, Monte Carlo Simulation (MCS) is used for modeling of load uncertainties in the ORPD problem. The problem is formulated as a nonlinear constrained mul...
متن کاملAn Incremental Probabilistic Model to Predict Bus Bunching in Real-Time
In this paper, we presented a probabilistic framework to predict Bus Bunching (BB) occurrences in real-time. It uses both historical and real-time data to approximate the headway distributions on the further stops of a given route by employing both offline and online supervised learning techniques. Such approximations are incrementally calculated by reusing the latest prediction residuals to up...
متن کاملBunching transition in a time-headway model of a bus route.
A time-headway model is presented to mimic bus behavior on the bus route. The motion of a bus is described in terms of the time headway between its bus and the bus in front. We study the bunching behavior of buses induced by interacting with other buses and passengers. It is shown that the dynamical phase transitions among the inhomogeneous bunching phase, the homogeneous free phase, the coexis...
متن کاملAn Improved Model for Headway-Based Bus Service Unreliability Prevention with Vehicle Load Capacity Constraint at Bus Stops
This paper presents an improvedmodel for improving headway-based bus route service reliability at bus stops using real-time preventive operation control, taking into account dynamic interaction among random passenger demand, stochastic driving conditions of route segments, and vehicle load capacity constraint. In this model, the real-time information of passenger demand and vehicle operation is...
متن کامل