作者: Yao Yu , Randy B. Machemehl , Chi Xie
DOI: 10.1016/J.TRE.2015.02.009
关键词:
摘要: Abstract Commuter rail systems are being introduced into many urban areas as an alternative mode to automobiles for commuting trips. It is anticipated that the shift from auto can greatly help alleviate traffic congestion in road networks. However, right-of-way of existing commuter usually not ideally located. Since locations were typically chosen long ago serve needs freight customers, majority current passengers have take a non-walkable connecting trip reach their final destinations after departing most conveniently located stations. To make more viable option and thus competitive mode, bus feeder or circulator system proposed transporting stations work seamless transfer manner. The key research question with operating such how optimally determine route stopping sequence each circulating tour by using real-time demand information. In this paper, we name joint routing optimization problem service network design problem, objective which minimize total cost incurred operators respect minimizing walk time individual passenger. A bi-level nonlinear mixed integer programming model constructed tabu search method different local strategies neighborhood evaluation methods then developed tackling problem.