Since notion of smart city and related applications have become very common recently, local governments have an urge to use computers and high technology in their public transportation systems. A typical example is planning optimal journeys for travelers depending on different parameters. In this work, a graph model and a solution method based on well-known algorithms, for planning optimal journeys depending on distance and passenger density parameters are proposed
AbstractIn a recent project in the Region of North Jutland in Denmark, an empirical study of the mob...
This paper aims to present a multiobjective optimum path algorithm for passenger pretrip planning in...
This paper aims to present a multiobjective optimum path algorithm for passenger pretrip planning in...
Since notion of smart city and related applications have become very common recently, local governme...
Technological innovations have revolutionized the lifestyle of the society and led to the developmen...
Optimization plays an important role in most real world applications that support decision makers to...
Abstract. We provide a model of optimization of transportation networks (e.g. urban traffic lines, s...
We consider the problem of designing lines in a public transport system, where we include user-optim...
Passenger loss is inextricably connected with network optimization, since longer access times and di...
Based on passenger mobility knowledge, this research presents a model for the design of passenger-or...
In recent year, the transportation networksare becoming more and more complex andnavigation services...
We investigate fast optimum route planning in large, real-world road networks for car navigation sys...
This dissertation derives two network equilibrium models of combined travel and residential location...
Planning a journey by integrating route and timetable information from diverse sources of transporta...
This paper presents a comprehensive cost-minimizing formulation for use in planning multi-modal pass...
AbstractIn a recent project in the Region of North Jutland in Denmark, an empirical study of the mob...
This paper aims to present a multiobjective optimum path algorithm for passenger pretrip planning in...
This paper aims to present a multiobjective optimum path algorithm for passenger pretrip planning in...
Since notion of smart city and related applications have become very common recently, local governme...
Technological innovations have revolutionized the lifestyle of the society and led to the developmen...
Optimization plays an important role in most real world applications that support decision makers to...
Abstract. We provide a model of optimization of transportation networks (e.g. urban traffic lines, s...
We consider the problem of designing lines in a public transport system, where we include user-optim...
Passenger loss is inextricably connected with network optimization, since longer access times and di...
Based on passenger mobility knowledge, this research presents a model for the design of passenger-or...
In recent year, the transportation networksare becoming more and more complex andnavigation services...
We investigate fast optimum route planning in large, real-world road networks for car navigation sys...
This dissertation derives two network equilibrium models of combined travel and residential location...
Planning a journey by integrating route and timetable information from diverse sources of transporta...
This paper presents a comprehensive cost-minimizing formulation for use in planning multi-modal pass...
AbstractIn a recent project in the Region of North Jutland in Denmark, an empirical study of the mob...
This paper aims to present a multiobjective optimum path algorithm for passenger pretrip planning in...
This paper aims to present a multiobjective optimum path algorithm for passenger pretrip planning in...