Study on Driving Cycle Synthesis Method for City Buses considering Random Passenger Load
This paper proposes a novel driving cycle construction method in consideration of velocity, road slope, and passenger load, based on a real-world bus route with a plug-in hybrid electric bus (PHEB). The main purpose is to address the disadvantage that an inaccurate reflection of the real-world drivi...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2020/3871703 |
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| _version_ | 1849472938532667392 |
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| author | Xiaodong Liu Jian Ma Xuan Zhao Juan Du Yanfeng Xiong |
| author_facet | Xiaodong Liu Jian Ma Xuan Zhao Juan Du Yanfeng Xiong |
| author_sort | Xiaodong Liu |
| collection | DOAJ |
| description | This paper proposes a novel driving cycle construction method in consideration of velocity, road slope, and passenger load, based on a real-world bus route with a plug-in hybrid electric bus (PHEB). The main purpose is to address the disadvantage that an inaccurate reflection of the real-world driving characteristics for city buses will be caused when ignoring the passenger load in the course of a driving cycle synthesis. Two contributions are supplemented to distinguish from the previous research. Firstly, a novel station-based method is proposed aiming at developing a driving cycle with high accuracy. The kinematic segments are partitioned according to the distance of adjacent bus stops, while a two-dimensional Markov chain Monte Carlo method is employed to synthesize driving cycle between each interval of adjacent bus stops. Secondly, the random passenger load for different bus stops is treated as a discrete Markov chain model, according to the correlation analysis of the measured passenger data which are distinguished for off-peak and peak hours. Meanwhile, Monte Carlo simulation and maximum likelihood estimation are utilized to determine the most likely number of passengers for each bus stop. At last, the fuel consumption of the PHEB is simulated with the best-synthesized driving cycle and contrasted to the mean fuel consumption of the later measured data which is composed of the velocity, road slope, and the passenger load. The results demonstrate that the synthesized driving cycle has a higher accuracy on fuel consumption estimation. |
| format | Article |
| id | doaj-art-db9c74dafee34e5486bc1a7875e44326 |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-db9c74dafee34e5486bc1a7875e443262025-08-20T03:24:21ZengWileyJournal of Advanced Transportation0197-67292042-31952020-01-01202010.1155/2020/38717033871703Study on Driving Cycle Synthesis Method for City Buses considering Random Passenger LoadXiaodong Liu0Jian Ma1Xuan Zhao2Juan Du3Yanfeng Xiong4School of Automobile, Chang’an University, Xi’an, Shaanxi 710064, ChinaSchool of Automobile, Chang’an University, Xi’an, Shaanxi 710064, ChinaSchool of Automobile, Chang’an University, Xi’an, Shaanxi 710064, ChinaSchool of Mechanical & Automotive Engineering, Liaocheng University, Liaocheng, Shandong 252059, ChinaSchool of Automobile, Chang’an University, Xi’an, Shaanxi 710064, ChinaThis paper proposes a novel driving cycle construction method in consideration of velocity, road slope, and passenger load, based on a real-world bus route with a plug-in hybrid electric bus (PHEB). The main purpose is to address the disadvantage that an inaccurate reflection of the real-world driving characteristics for city buses will be caused when ignoring the passenger load in the course of a driving cycle synthesis. Two contributions are supplemented to distinguish from the previous research. Firstly, a novel station-based method is proposed aiming at developing a driving cycle with high accuracy. The kinematic segments are partitioned according to the distance of adjacent bus stops, while a two-dimensional Markov chain Monte Carlo method is employed to synthesize driving cycle between each interval of adjacent bus stops. Secondly, the random passenger load for different bus stops is treated as a discrete Markov chain model, according to the correlation analysis of the measured passenger data which are distinguished for off-peak and peak hours. Meanwhile, Monte Carlo simulation and maximum likelihood estimation are utilized to determine the most likely number of passengers for each bus stop. At last, the fuel consumption of the PHEB is simulated with the best-synthesized driving cycle and contrasted to the mean fuel consumption of the later measured data which is composed of the velocity, road slope, and the passenger load. The results demonstrate that the synthesized driving cycle has a higher accuracy on fuel consumption estimation.http://dx.doi.org/10.1155/2020/3871703 |
| spellingShingle | Xiaodong Liu Jian Ma Xuan Zhao Juan Du Yanfeng Xiong Study on Driving Cycle Synthesis Method for City Buses considering Random Passenger Load Journal of Advanced Transportation |
| title | Study on Driving Cycle Synthesis Method for City Buses considering Random Passenger Load |
| title_full | Study on Driving Cycle Synthesis Method for City Buses considering Random Passenger Load |
| title_fullStr | Study on Driving Cycle Synthesis Method for City Buses considering Random Passenger Load |
| title_full_unstemmed | Study on Driving Cycle Synthesis Method for City Buses considering Random Passenger Load |
| title_short | Study on Driving Cycle Synthesis Method for City Buses considering Random Passenger Load |
| title_sort | study on driving cycle synthesis method for city buses considering random passenger load |
| url | http://dx.doi.org/10.1155/2020/3871703 |
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