A new model for moving vehicles on highways inorder to optimization of multiobjective traffic

Recent technological advancements provide a level of mobility never seen before to modern societies.Sustaining today’s economy and societies depend on maintaining this mobility. However, thismobility also causes undesirable effects, especially in high urban population areas. Even though,higher priority is given to public transport in metropolitan areas, road network is still an importantpart of everyday commute and should be planned and managed with great care. In this study, wepropose an optimization methodology that would help the traffic authorities to better predict theresults of strategic management decisions in a realistic traffic model. We formulate a bi-level multiobjectivetraffic optimization model with a sustainability perspective. The upper level of the proposedmodel considers the traffic authority’s management strategies while the lower level considers thetraffic users’ decisions. The lower level is modelled using the stochastic user equilibrium since itallows more realistic results than the deterministic one. A case study is provided to illustrate theproposed model. The proposed methodology provides an avenue for understanding the trade-offsamong conflicting objectives and for designing an environmentally and socially sustainabletransportation system. More importantly, it builds the foundation for an intelligent trafficmanagement decision support system.

کلیدواژه ها:

Multi-objective Optimization ، Traffic management ، sustainability ، highways