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Summary of IOT Publications

Title Railway Supply and Demand Diagnosis and Strategy Analysis with Big Data Technology (2/2) –Completion of the Diagnostic Model Software
Dept Transportation Engineering, Maritime and Air Transport Division
Year 2021
Month 7
Price 180
Summary

        This Project is to develop a systematic method for integrating the supply and demand of the railway system for the traditional railway system in Taiwan. Its goal is to obtain a train service plan that is appropriately close to the needs of passengers. For this reason, this Plan has developed 6 Modes: (1) Demand Mode is to integrate high-resolution historical ticket sales records and transportation planning estimates. (2) The Supply Mode is used to solve the optimized service
plan under the constraints of route capacity, available vehicle grouping, and available crew manpower. (3) Passenger Selection Behavior Simulation Mode is to use system simulation technology to simulate the process and interaction of passengers in selecting train numbers. (4) Passenger Selection Parameter Estimation Mode is used to estimate the passenger's preferred weight coefficient value. (5) Conflict Resolution Mode is used to eliminate trainconflicts in the service plan and obtain a conflict-free list. (6) System Operation Simulation Mode is used to present the possible situations of the railway system when it actually operates online according to the train schedule.Together, these models describe how the TRA system utilizes its available resources (i.e., manpower, rolling stock, and line capacity) to generate transportation capability in response to transportation demand, and to ultimately turn invested resources into a useful mechanism for passenger choice.
In addition to transportation supply quantity, the Railway Congestion Potential Index (RCPI) is defined as an indicator of the quality the railway system offers. By considering the available track infrastructure and the system timetable, RCPI measures the likelihood of track congestion, which can result in reduced punctuality when this occurs.
Based on the above models, this Project designed and implemented the Intelligent Railway Platform, which incorporates all the models, including the complicated and diverse data sets, into in an integrated environment. A userfriendly interface is provided for ease of use, and its structure is designed to easily accommodate more varied models and data in the future.

Post date 2021-08-09
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