Automated Generation of Traffic Incident Response Plan Based on Case-Based Reasoning and Bayesian Theory
المؤلفون المشاركون
Yuan, Li
Zhang, Wenbo
Ma, Yong-feng
Lu, Jian
المصدر
Discrete Dynamics in Nature and Society
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-7، 7ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-01-29
دولة النشر
مصر
عدد الصفحات
7
التخصصات الرئيسية
الملخص EN
Traffic incident response plan, specifying response agencies and their responsibilities, can guide responders to take actions effectively and timely after traffic incidents.
With a reasonable and feasible traffic incident response plan, related agencies will save many losses, such as humans and wealth.
In this paper, how to generate traffic incident response plan automatically and specially was solved.
Firstly, a well-known and approved method, Case-Based Reasoning (CBR), was introduced.
Based on CBR, a detailed case representation and R5-cycle of CBR were developed.
To enhance the efficiency of case retrieval, which was an important procedure, Bayesian Theory was introduced.
To measure the performance of the proposed method, 23 traffic incidents caused by traffic crashes were selected and three indicators, Precision P, Recall R, and Indicator F, were used.
Results showed that 20 of 23 cases could be retrieved effectively and accurately.
The method is practicable and accurate to generate traffic incident response plans.
The method will promote the intelligent generation and management of traffic incident response plans and also make Traffic Incident Management more scientific and effective.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Ma, Yong-feng& Zhang, Wenbo& Lu, Jian& Yuan, Li. 2014. Automated Generation of Traffic Incident Response Plan Based on Case-Based Reasoning and Bayesian Theory. Discrete Dynamics in Nature and Society،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-508198
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Ma, Yong-feng…[et al.]. Automated Generation of Traffic Incident Response Plan Based on Case-Based Reasoning and Bayesian Theory. Discrete Dynamics in Nature and Society No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-508198
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Ma, Yong-feng& Zhang, Wenbo& Lu, Jian& Yuan, Li. Automated Generation of Traffic Incident Response Plan Based on Case-Based Reasoning and Bayesian Theory. Discrete Dynamics in Nature and Society. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-508198
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-508198
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر