Probabilistic programming models for traffic incident management operations planning


Ozbay K., Iyigun C., Baykal-Gursoy M., XİAO W.

ANNALS OF OPERATIONS RESEARCH, cilt.203, sa.1, ss.389-406, 2013 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 203 Sayı: 1
  • Basım Tarihi: 2013
  • Doi Numarası: 10.1007/s10479-012-1174-6
  • Dergi Adı: ANNALS OF OPERATIONS RESEARCH
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.389-406
  • Anahtar Kelimeler: Transportation, Incident management, Logistics, Quality of service, p-Efficient points, Stochastic programming, Probabilistic constraints, FLEET ALLOCATION, LOCATION, FORMULATION
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

This paper proposes mathematical programming models with probabilistic constraints in order to address incident response and resource allocation problems for the planning of traffic incident management operations. For the incident response planning, we use the concept of quality of service during a potential incident to give the decision-maker the flexibility to determine the optimal policy in response to various possible situations. An integer programming model with probabilistic constraints is also proposed to address the incident response problem with stochastic resource requirements at the sites of incidents. For the resource allocation planning, we introduce a mathematical model to determine the number of service vehicles allocated to each depot to meet the resource requirements of the incidents by taking into account the stochastic nature of the resource requirement and incident occurrence probabilities. A detailed case study for the incident resource allocation problem is included to demonstrate the use of proposed model in a real-world context. The paper concludes with a summary of results and recommendations for future research.