Day-to-Day Traffic Assignment Model considering Information Fusion and Dynamic Route Adjustment Ratio
A new day-to-day traffic assignment model is proposed to describe travelers’ day-to-day behavioral changes with advanced traffic information system. In the model, travelers’ perception is updated by a double exponential-smoothing learning process combining experience and traffic information that is...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2020/5751349 |
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| _version_ | 1832547021273169920 |
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| author | Manman Li Jian Lu Jiahui Sun |
| author_facet | Manman Li Jian Lu Jiahui Sun |
| author_sort | Manman Li |
| collection | DOAJ |
| description | A new day-to-day traffic assignment model is proposed to describe travelers’ day-to-day behavioral changes with advanced traffic information system. In the model, travelers’ perception is updated by a double exponential-smoothing learning process combining experience and traffic information that is explicitly modelled. Route adjustment ratio is dynamically determined by the difference between perceived and expected utilities. Through theoretical analyses, we investigate the existence of its fixed point and the influence factors of uniqueness of the fixed point. An iterative-based algorithm that can solve the fixed point is also given. Numerical experiments are then conducted to investigate effects of several main parameters on its convergence, which provides insights for traffic management. In addition, we compare the system efficiencies under the static route adjustment ratio and dynamic route adjustment ratio and show the application of the model. |
| format | Article |
| id | doaj-art-868a48a157694d0ea59a5a73f3164cf6 |
| institution | Kabale University |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-868a48a157694d0ea59a5a73f3164cf62025-02-03T06:46:19ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2020-01-01202010.1155/2020/57513495751349Day-to-Day Traffic Assignment Model considering Information Fusion and Dynamic Route Adjustment RatioManman Li0Jian Lu1Jiahui Sun2Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing 211189, ChinaJiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing 211189, ChinaXi’an Aerospace Power Test Technology Institute, Xi’an 710100, ChinaA new day-to-day traffic assignment model is proposed to describe travelers’ day-to-day behavioral changes with advanced traffic information system. In the model, travelers’ perception is updated by a double exponential-smoothing learning process combining experience and traffic information that is explicitly modelled. Route adjustment ratio is dynamically determined by the difference between perceived and expected utilities. Through theoretical analyses, we investigate the existence of its fixed point and the influence factors of uniqueness of the fixed point. An iterative-based algorithm that can solve the fixed point is also given. Numerical experiments are then conducted to investigate effects of several main parameters on its convergence, which provides insights for traffic management. In addition, we compare the system efficiencies under the static route adjustment ratio and dynamic route adjustment ratio and show the application of the model.http://dx.doi.org/10.1155/2020/5751349 |
| spellingShingle | Manman Li Jian Lu Jiahui Sun Day-to-Day Traffic Assignment Model considering Information Fusion and Dynamic Route Adjustment Ratio Discrete Dynamics in Nature and Society |
| title | Day-to-Day Traffic Assignment Model considering Information Fusion and Dynamic Route Adjustment Ratio |
| title_full | Day-to-Day Traffic Assignment Model considering Information Fusion and Dynamic Route Adjustment Ratio |
| title_fullStr | Day-to-Day Traffic Assignment Model considering Information Fusion and Dynamic Route Adjustment Ratio |
| title_full_unstemmed | Day-to-Day Traffic Assignment Model considering Information Fusion and Dynamic Route Adjustment Ratio |
| title_short | Day-to-Day Traffic Assignment Model considering Information Fusion and Dynamic Route Adjustment Ratio |
| title_sort | day to day traffic assignment model considering information fusion and dynamic route adjustment ratio |
| url | http://dx.doi.org/10.1155/2020/5751349 |
| work_keys_str_mv | AT manmanli daytodaytrafficassignmentmodelconsideringinformationfusionanddynamicrouteadjustmentratio AT jianlu daytodaytrafficassignmentmodelconsideringinformationfusionanddynamicrouteadjustmentratio AT jiahuisun daytodaytrafficassignmentmodelconsideringinformationfusionanddynamicrouteadjustmentratio |