The Second Transportation Student Research Symposium
Abstract Detail
| Name | School | Title of presentation |
| Wang Zhigao | NU | Calibration of Urban Rail Simulation Model |
| Simulation is very useful in urban rail system planning, operation and control evaluation. Calibration and validation of such models is an important activity before their use. This paper presents a methodology for urban rail simulation model calibration and validation. Calibration is formulated as an optimization problem to minimize the total error between simulated measures of performances and their corresponding observed values. A wealth of data is in many cases available, usually collected through the Operational Control System (OCS). Observed data that can be used in calibration includes block occupancy times, and times at station blocks. Based on this data calibration addresses the problem of estimating unknown train performance parameters (e.g. acceleration/deceleration profiles), dwell time model parameters and demand data (e.g. arrival rates at stations). The methodology is presented through a case study using data from MBTA’s Red Line. |
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