The network design problem (NDP) is to make optimal decisions to achieve a certain objective such as minimizing the total travel cost in the network. A critical component to NDP is how travelers make their route choices. Researchers in transportation have adopted human decision theories to describe more accurate route choice behaviors. In this paper, we review the NDP with various route choice ...

Many exist studies always use Markov decision processes (MDPs) in modeling optimal route choice in stochastic, time-varying networks. However, taking many variable traffic data and transforming them into optimal route decision is a computational challenge by employing MDPs in real transportation networks. In this paper we model finite horizon MDPs using directed hypergraphs. It is shown that th...

Within the past decade, several transportation planning decision support systems that combine heuristic programming techniques with geographic information systems (GIS) technology have been developed to meet forest operation challenges. These decision support systems, however, have not directly addressed the upslope influences of landslides in choosing routes from road networks. This paper prov...

this paper addresses a multi-criteria decision based methodology to develop a road network cost function for route finding analysis in a geographic information system (gis). over the years, several studies relating to route planning process in gis and intelligent transportation systems (its) have been conducted, most of which rely on the use of one-dimensional variables like distance or time as...

This paper discusses a paradox in fixed charge capacitated transportation problem where the objective function is the sum of two linear fractional functions consisting of variables costs and fixed charges respectively. A paradox arises when the transportation problem admits of an objective function value which is lower than the optimal objective function value, by transporting larger quantities...

In this paper, we tackle the problem of risk-averse route planning in a transportation network with time-dependent and stochastic costs. To solve this problem, we propose an adaptation of the A* algorithm that accommodates any risk measure or decision criterion that is monotonic with first-order stochastic dominance. We also present a case study of our algorithm on the Manhattan, NYC, transport...

The stability of a user equilibrium determines whether it could be realized or sustained in a transportation network, when subject to perturbations in traffic conditions and drivers’ route choice behaviors. In this paper, with a simple deterministic dynamical system model of the traffic assignment problem, we first develop a systematic approach to analyzing asymptotic stability and instability ...

Route planners are tools that support the navigator in selecting the best route between two locations. Solving a route choice problem involves sorting and ranking of alternatives according to underlying evaluation criteria and decision rules. Using an appropriate classification of route selection criteria in the user interface is an important ingredient for user friendly route planners. The pap...

An analysis of the transportation systems used in flexible manufacturing systems is introduced in the paper. Based on the analysis an approach to the modelling and control of an automatic guided vehicles system (AGVS) is presented. It is aimed at a specifically delimited class of the AGV transportation systems. A special group of the colored Petri nets interpreted for control is used for the pr...

A multimodal multi-criteria route planning (MMRP) system provides an optimal multimodal route from an origin point to a destination point considering two or more criteria in a way this route can be a combination of public and private transportation modes. In this paper, the simulate annealing (SA) and the fuzzy analytical hierarchy process (fuzzy AHP) were combined in order to find this route. ...