Agent-Based Modeling and Simulation for the Bus-Corridor Problem in a Many-to-One Mass Transit System
With the growing problem of urban traffic congestion, departure time choice is becoming a more important factor to commuters. By using multiagent modeling and the Bush-Mosteller reinforcement learning model, we simulated the day-to-day evolution of commuters’ departure time choice on a many-to-one m...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
|
| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2014/652869 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832564291179380736 |
|---|---|
| author | Qinmu Xie Shoufeng Ma Ning Jia Yang Gao |
| author_facet | Qinmu Xie Shoufeng Ma Ning Jia Yang Gao |
| author_sort | Qinmu Xie |
| collection | DOAJ |
| description | With the growing problem of urban traffic congestion, departure time choice is becoming a more important factor to commuters. By using multiagent modeling and the Bush-Mosteller reinforcement learning model, we simulated the day-to-day evolution of commuters’ departure time choice on a many-to-one mass transit system during the morning peak period. To start with, we verified the model by comparison with traditional analytical methods. Then the formation process of departure time equilibrium is investigated additionally. Seeing the validity of the model, some initial assumptions were relaxed and two groups of experiments were carried out considering commuters’ heterogeneity and memory limitations. The results showed that heterogeneous commuters’ departure time distribution is broader and has a lower peak at equilibrium and different people behave in different pattern. When each commuter has a limited memory, some fluctuations exist in the evolutionary dynamics of the system, and hence an ideal equilibrium can hardly be reached. This research is helpful in acquiring a better understanding of commuter’s departure time choice and commuting equilibrium of the peak period; the approach also provides an effective way to explore the formation and evolution of complicated traffic phenomena. |
| format | Article |
| id | doaj-art-bc37cd92e98643e7bba50b66c237c349 |
| institution | Kabale University |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-bc37cd92e98643e7bba50b66c237c3492025-02-03T01:11:27ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2014-01-01201410.1155/2014/652869652869Agent-Based Modeling and Simulation for the Bus-Corridor Problem in a Many-to-One Mass Transit SystemQinmu Xie0Shoufeng Ma1Ning Jia2Yang Gao3Institute of Systems Engineering, College of Management and Economics, Tianjin University, Tianjin 300072, ChinaInstitute of Systems Engineering, College of Management and Economics, Tianjin University, Tianjin 300072, ChinaInstitute of Systems Engineering, College of Management and Economics, Tianjin University, Tianjin 300072, ChinaInstitute of Systems Engineering, College of Management and Economics, Tianjin University, Tianjin 300072, ChinaWith the growing problem of urban traffic congestion, departure time choice is becoming a more important factor to commuters. By using multiagent modeling and the Bush-Mosteller reinforcement learning model, we simulated the day-to-day evolution of commuters’ departure time choice on a many-to-one mass transit system during the morning peak period. To start with, we verified the model by comparison with traditional analytical methods. Then the formation process of departure time equilibrium is investigated additionally. Seeing the validity of the model, some initial assumptions were relaxed and two groups of experiments were carried out considering commuters’ heterogeneity and memory limitations. The results showed that heterogeneous commuters’ departure time distribution is broader and has a lower peak at equilibrium and different people behave in different pattern. When each commuter has a limited memory, some fluctuations exist in the evolutionary dynamics of the system, and hence an ideal equilibrium can hardly be reached. This research is helpful in acquiring a better understanding of commuter’s departure time choice and commuting equilibrium of the peak period; the approach also provides an effective way to explore the formation and evolution of complicated traffic phenomena.http://dx.doi.org/10.1155/2014/652869 |
| spellingShingle | Qinmu Xie Shoufeng Ma Ning Jia Yang Gao Agent-Based Modeling and Simulation for the Bus-Corridor Problem in a Many-to-One Mass Transit System Discrete Dynamics in Nature and Society |
| title | Agent-Based Modeling and Simulation for the Bus-Corridor Problem in a Many-to-One Mass Transit System |
| title_full | Agent-Based Modeling and Simulation for the Bus-Corridor Problem in a Many-to-One Mass Transit System |
| title_fullStr | Agent-Based Modeling and Simulation for the Bus-Corridor Problem in a Many-to-One Mass Transit System |
| title_full_unstemmed | Agent-Based Modeling and Simulation for the Bus-Corridor Problem in a Many-to-One Mass Transit System |
| title_short | Agent-Based Modeling and Simulation for the Bus-Corridor Problem in a Many-to-One Mass Transit System |
| title_sort | agent based modeling and simulation for the bus corridor problem in a many to one mass transit system |
| url | http://dx.doi.org/10.1155/2014/652869 |
| work_keys_str_mv | AT qinmuxie agentbasedmodelingandsimulationforthebuscorridorprobleminamanytoonemasstransitsystem AT shoufengma agentbasedmodelingandsimulationforthebuscorridorprobleminamanytoonemasstransitsystem AT ningjia agentbasedmodelingandsimulationforthebuscorridorprobleminamanytoonemasstransitsystem AT yanggao agentbasedmodelingandsimulationforthebuscorridorprobleminamanytoonemasstransitsystem |