Abstract
Energy conservation is attracting more attention to achieve a reduced lifecycle system cost level while enabling environmentally friendly characteristics. Conventional research mainly concentrates on energy-saving speed profiles, where the energy level evaluation of the timetable is usually considered separately. This paper integrates the train driving control optimization and the timetable characteristics by analyzing the achievable tractive energy conservation performance and the corresponding boundaries. A calculation method for energy efficient driving control solution is proposed based on the Bacterial Foraging Optimization (BFO) strategy, which is utilized to carry out batch processing with timetable. A boundary identification solution is proposed to detect the range of energy conservation capability by considering the relationships with average interstation speed and the passenger volume condition. A case study is presented using practical data of Beijing Metro Batong Line and two timetable schemes. The results illustrate that the proposed optimized energy efficient driving control approach is capable of saving tractive energy in comparison with the conventional traction calculation-based train operation solution. With the proposed boundary identification method, the capability space of the energy conservation profiles with respect to the energy reduction and energy saving rate is revealed. Moreover, analyses and discussions on effects from different passenger load conditions are given to both the weekday and weekend timetables. Results of this paper may assist the decision making of rail operators and engineers by enhancing the cost effectiveness and energy efficiency.
Highlights
In recent years, by providing safe, efficient and convenient transport services to a large number of passengers in a short period of time, metro systems are playing a more important role in modern transportation systems all over the world [1]
The contribution of this paper is to describe the correlation between the timetable-based tractive energy conservation capability and typical influencing factors
Similar to the Average Section Speed (ASS)-REN-PLF profile, the ASS-RER-PLF profile describes the relationship between the average interstation speed and the Reduced Energy n Rate (RER) against o a reference solution
Summary
By providing safe, efficient and convenient transport services to a large number of passengers in a short period of time, metro systems are playing a more important role in modern transportation systems all over the world [1]. Different from the abovementioned solutions for optimized driving control, the timetable, which describes the temporal-spatial constraints to the planned trains by defining the running time between describes the temporal-spatial constraints to the planned trains by defining the running time between two stations, has a direct and significant influence on the energy-efficiency of train operations. Given a real-world timetable, the individual driving control strategy of each planned train can be deduced with the practical field conditions and parameters, where an appropriate traction energy consumption reduction solution can be directly utilized. An optimization-based solution of energy efficient train driving control is introduced, and the correlation between energy-efficient-driving-enabled energy saving capability and some timetable-related influencing factors (i.e. running speed and passenger load rate) covering all the planned trains is revealed through data fitting models and boundary identification.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
