Abstract
Capacity reliability assessment and application are emerging active area in transportation science. This paper built assessment model of capacity reliability of road network from the perspective of route entropy by referring to relevant concepts and methods applied in water distribution system. Route entropy represents the uncertainty of route selection of macro traffic flow in a road network. The probability space and calculative model of route entropy were introduced as a new method with regard to the field of capacity reliability research in transportation science. This paper further demonstrated a feasible method for applying resultant capacity reliability in logistics network optimization. The decision of how to optimize a logistics network depends upon several criteria that are sometimes conflicting under a set of constraints. This paper analyzed and modeled the conflicting objectives through forming satisfactory function. The proposed approach captured essential requirements of actual logistics network and considered them synthetically into unified dimension for optimization. Improved genetic algorithm was applied to search solutions, and the applicability and validity of the method were further demonstrated by a numerical example. This paper contributed to the development of capacity reliability theory in transportation science. It may bring some inspiration to relevant scientific researchers and engineers. Key words: Road traffic, road network, traffic flow, route choice, entropy, uncertainty, multi-objective, satisfactory optimization, logistics network
Highlights
It is well acknowledged that traffic congestion is a severe problem faced by the development of modern urban civilization (Akgungor and Dogan, 2009; Gundogdu, 2009; Tang and Xi, 2010)
This paper further demonstrated a feasible method for applying resultant capacity reliability in logistics network optimization
The purpose of multi-objective satisfactory optimization for logistics network is to generate efficient alternatives, which can be presented to the decision-maker so that he/she can select the preferred alternative while considering conflicting and non-commensurate objectives (Malakooti, 1989)
Summary
It is well acknowledged that traffic congestion is a severe problem faced by the development of modern urban civilization (Akgungor and Dogan, 2009; Gundogdu, 2009; Tang and Xi, 2010). Emerging techniques and policies may solve this problem, but before it is solved, people have to find ways to assess capacity reliability of road traffic network so that they can distinguish where the vulnerable parts are and provide support for designing. Logistics network optimization has to meet several goals simultaneously and an appropriate logistics distribution scheme involves non-economic factors. The purpose of multi-objective satisfactory optimization for logistics network is to generate efficient alternatives, which can be presented to the decision-maker so that he/she can select the preferred alternative while considering conflicting and non-commensurate objectives (Malakooti, 1989). Multi-objective satisfactory optimization is to optimize simultaneously two or more conflicting objectives under a set of constraints (Liu et al, 2000).
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