Proactive Traffic Information Control in Emergency Evacuation Network
Traffic demand in emergency evacuation is usually too large to be effectively managed with reactive traffic information control methods. These methods adapt to the road traffic passively by publishing real-time information without consideration of the routing behavior feedback produced by evacuees....
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2015/958052 |
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| _version_ | 1849406141762633728 |
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| author | Zhengfeng Huang |
| author_facet | Zhengfeng Huang |
| author_sort | Zhengfeng Huang |
| collection | DOAJ |
| description | Traffic demand in emergency evacuation is usually too large to be effectively managed with reactive traffic information control methods. These methods adapt to the road traffic passively by publishing real-time information without consideration of the routing behavior feedback produced by evacuees. Other remedy measures have to be prepared in case of nonrecurring congestion under these methods. To use the network capacity fully to mitigate near-future evacuation traffic congestion, we propose proactive traffic information control (PTIC) model. Based on the mechanism between information and routing behavior feedback, this model can change the route choice of evacuees in advance by dissipating strategic traffic information. Generally, the near-future traffic condition is difficult to accurately predict because it is uncertain in evacuation. Assume that the value of traffic information obeys certain distribution within a range, and then real-time traffic information may reflect the most-likely near-future traffic condition. Unlike the real-time information, the proactive traffic information is a selection within the range to achieve a desired level of the road network performance index (total system travel time). In the aspect of the solution algorithm, differential equilibrium decomposed optimization (D-EDO) is proposed to compare with other heuristic methods. A field study on a road network around a large stadium is used to validate the PTIC. |
| format | Article |
| id | doaj-art-529c5cb09ed2486cafb85a094e55683b |
| institution | Kabale University |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-529c5cb09ed2486cafb85a094e55683b2025-08-20T03:36:30ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2015-01-01201510.1155/2015/958052958052Proactive Traffic Information Control in Emergency Evacuation NetworkZhengfeng Huang0Faculty of Maritime and Transportation, Ningbo University, Ningbo 315211, ChinaTraffic demand in emergency evacuation is usually too large to be effectively managed with reactive traffic information control methods. These methods adapt to the road traffic passively by publishing real-time information without consideration of the routing behavior feedback produced by evacuees. Other remedy measures have to be prepared in case of nonrecurring congestion under these methods. To use the network capacity fully to mitigate near-future evacuation traffic congestion, we propose proactive traffic information control (PTIC) model. Based on the mechanism between information and routing behavior feedback, this model can change the route choice of evacuees in advance by dissipating strategic traffic information. Generally, the near-future traffic condition is difficult to accurately predict because it is uncertain in evacuation. Assume that the value of traffic information obeys certain distribution within a range, and then real-time traffic information may reflect the most-likely near-future traffic condition. Unlike the real-time information, the proactive traffic information is a selection within the range to achieve a desired level of the road network performance index (total system travel time). In the aspect of the solution algorithm, differential equilibrium decomposed optimization (D-EDO) is proposed to compare with other heuristic methods. A field study on a road network around a large stadium is used to validate the PTIC.http://dx.doi.org/10.1155/2015/958052 |
| spellingShingle | Zhengfeng Huang Proactive Traffic Information Control in Emergency Evacuation Network Discrete Dynamics in Nature and Society |
| title | Proactive Traffic Information Control in Emergency Evacuation Network |
| title_full | Proactive Traffic Information Control in Emergency Evacuation Network |
| title_fullStr | Proactive Traffic Information Control in Emergency Evacuation Network |
| title_full_unstemmed | Proactive Traffic Information Control in Emergency Evacuation Network |
| title_short | Proactive Traffic Information Control in Emergency Evacuation Network |
| title_sort | proactive traffic information control in emergency evacuation network |
| url | http://dx.doi.org/10.1155/2015/958052 |
| work_keys_str_mv | AT zhengfenghuang proactivetrafficinformationcontrolinemergencyevacuationnetwork |