Multi Criteria Analysis In Transportation Planning

Abstract: Planning, design and implementation of traffic infrastructure is a complex task especially when it is done for infrastructure located in urban areas because it depends on different factors and interests. This is why the solutions have to be evaluated by different type of criteria (traffic, economic, environmental and social). For this purpose during last decades multi-criteria methods came into use and numerous methods have been developed which are classified as multi-criteria analysis methods (e.g. PROMETHEE, TOPSIS, and AHP). In this paper the overview of how the multi-criteria analysis method AHP - Analytic Hierarchy Process is used as decision making tool in the process of transportation planning. AHP has been

. “Optimal” refers to shortest time, shortest distance, or least total cost. A commuter while travelling from origin to destination always tries to find a path which will cost less time, minimum distance, good road condition. The analysis of transportation networks is one of many application areas in which the computation of shortest paths is one of the most fundamental problems. These have been the subject of extensive research for many years. The shortest path problem was one of the first network problems studied in terms of operations research. Fixed two specific nodes A and B in the network, the goal is to find a minimum cost way to go from A to B. Several algorithms for computing the shortest path between two nodes of a graph are

A case study is carried out by using one day floating data in Wuhan, China. D. K. Parbat generated MPT (minimum path tree) using moore’s algorithm. The travel time study is conducted in Indore city, India using test car technique and MPT from each origin zone to all destination zone were obtained incorporating travel time and distance as factor separately. H.Ramzani, Y. Shafahi and S.E. Seyedabrishami proposed a method to solve shortest path problems in route choice process when each link travel time is fuzzy no. called as perceived travel time (PTT) which is subjective travel time perceived by a driver. They used FSPA (fuzzy shortest path algorithm) to find shortest path in an urban transportation network. Apeksha Khare proposed Adaptive Dynamic Route Planning (ADRP) algorithm in which vehicle continues to move on the shortest path or can opt for a minimum time taking route based on the requirement during travel from its source to destination. Lilli Qu and Yan chen (2008) set up Hybrid Multicriteria Decision Making (MCDM) on the basis of fuzzy analytic hierarchy process (AHP) and artificial neural network (ANN) theory for route selection of multimodal transportation network. Sadeghi-Niaraki et.al (2010) used multidimensional variables combined with multi-dimensional cost model (MCDM) to develop a road network cost function for route