Multi-criteria route planning based on a driver’s preferences in multi-criteria route selection

Pahlavani, Parham; Delavar, Mahmoud Reza

doi:10.1016/j.trc.2014.01.001

Cited by 38 publications

(13 citation statements)

References 33 publications

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“…ANN as the one of the most common methods in urban growth modeling has the ability to learn pattern and relationship between data from training data. By combining ANN and fuzzy inference systems, learning and human knowledge can be integrated together and at the same time, it covers many of their shortcomings (Pahlavani and Delavar 2014), such as the problem of finding the correct position and shapes for membership functions in fuzzy inference system and lack of flexibility in neural network. In other words, ANFIS take advantage of learning, use of human knowledge and flexibility which makes it very suitable to solve some of the problems.…”

Section: Anfismentioning

confidence: 99%

“…Thus, combination of these methods can discard many of their disabilities individually. By integrating artificial neural networks and fuzzy inference systems, the capabilities of ANNs selflearning with the linguistic expression function of fuzzy inference can be fused (Pahlavani and Delavar 2014) and also, overcome many of their shortages. In this research, we propose an ANFIS structure for urban land use change modeling and compare the results of the proposed model with predefined ANNs ones.…”

Section: Introductionmentioning

confidence: 99%

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Urban sprawl assessment and modeling using landsat images and GIS

Mohammady

Delavar

2016

Model. Earth Syst. Environ.

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Nowadays, urban sprawl phenomenon have been seen in many of cities in the developing and developed countries. Urban sprawl is considered as a particular kind of urban growth which comes up with a lot of negative effects. Thus, monitoring, analyzing and modeling of this phenomenon seem to be unavoidable. This paper assess urban sprawl in Tehran Metropolis as the capital of Iran and models urban sprawl in this mega city utilizing artificial neural networks and adaptive neuro-based fuzzy inference system methods with remote sensing data and geospatial information systems spatial analyses and modeling capabilities to simulate Tehran urban growth. The results confirm that this city has experienced sprawl and sprawl has an increasing rate. Three Landsat imageries from TM and ETM? sensors taken in 1988, 1999 and 2010 and seven predictor variables include distance to road, distance to green space, slope, elevation, distance to fault, distance to developed area and number of urban cells in 3 by 3 neighborhoods have been used for urban sprawl assessment and modeling. Relative operating characteristics (ROC) and sensitivity analyses have been used to evaluate simulation results. In this research, two evaluation steps have been implemented using ROC and on the both of them, ANFIS presented the best performance vs two different proposed ANN structures.

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Section: Anfismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Urban sprawl assessment and modeling using landsat images and GIS

Mohammady

Delavar

2016

Model. Earth Syst. Environ.

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“…For example, some studies concentrated on only one criterion such as length, safety (Furukawa and Nakamura, 2013) or health (Sharker et al, 2012) to find the best route. Some other researches, took into account more than one criterion simultaneously; however, majority of them focused on multi-criteria path finding for vehicles (Niaraki and Kim, 2009;Pahlavani et al, 2012;Pahlavani and Delavar, 2014), or they developed multi-criteria wayfinding methods generally without specifying for pedestrians (Nadi and Delavar, 2011;Mohammadi and Hunter, 2012). * Corresponding author Apart from that, the most important limitation of the previous attempts in pedestrian wayfinding is the lack of proper consideration to service flexibility.…”

Section: Introductionmentioning

confidence: 99%

Proposing a Multi-Criteria Path Optimization Method in Order to Provide a Ubiquitous Pedestrian Wayfinding Service

Sahelgozin

Sadeghi‐Niaraki

Dareshiri

2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:A myriad of novel applications have emerged nowadays for different types of navigation systems. One of their most frequent applications is Wayfinding. Since there are significant differences between the nature of the pedestrian wayfinding problems and of those of the vehicles, navigation services which are designed for vehicles are not appropriate for pedestrian wayfinding purposes. In addition, diversity in environmental conditions of the users and in their preferences affects the process of pedestrian wayfinding with mobile devices. Therefore, a method is necessary that performs an intelligent pedestrian routing with regard to this diversity. This intelligence can be achieved by the help of a Ubiquitous service that is adapted to the Contexts. Such a service possesses both the Context-Awareness and the User-Awareness capabilities. These capabilities are the main features of the ubiquitous services that make them flexible in response to any user in any situation. In this paper, it is attempted to propose a multi-criteria path optimization method that provides a Ubiquitous Pedestrian Way Finding Service (UPWFS). The proposed method considers four criteria that are summarized in Length, Safety, Difficulty and Attraction of the path. A conceptual framework is proposed to show the influencing factors that have effects on the criteria. Then, a mathematical model is developed on which the proposed path optimization method is based. Finally, data of a local district in Tehran is chosen as the case study in order to evaluate performance of the proposed method in real situations. Results of the study shows that the proposed method was successful to understand effects of the contexts in the wayfinding procedure. This demonstrates efficiency of the proposed method in providing a ubiquitous pedestrian wayfinding service.

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“…In comparison to the GA algorithm, their proposed algorithm had better characteristics, such as better quality metric and lower running time. Also, (Pahlavani & Delavar, 2014) integrated fuzzy algorithms and artificial neural networks (ANNs) for modeling driver preferences.…”

Section: Introductionmentioning

confidence: 99%

A New Multimodal Multi-Criteria Route Planning Model by Integrating a Fuzzy-Ahp Weighting Method and a Simulated Annealing Algorithm

Ghaderi

Pahlavani

2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT: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. In this regard, firstly, the effective criteria that are significant for users in their trip were determined. Then the weight of each criterion was calculated using the fuzzy AHP weighting method. The most important characteristic of this weighting method is the use of fuzzy numbers that aids the users to consider their uncertainty in pairwise comparison of criteria. After determining the criteria weights, the proposed SA algorithm were used for determining an optimal route from an origin to a destination. One of the most important problems in a meta-heuristic algorithm is trapping in local minima. In this study, five transportation modes, including subway, bus rapid transit (BRT), taxi, walking, and bus were considered for moving between nodes. Also, the fare, the time, the user's bother, and the length of the path were considered as effective criteria for solving the problem. The proposed model was implemented in an area in centre of Tehran in a GUI MATLAB programming language. The results showed a high efficiency and speed of the proposed algorithm that support our analyses.

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Multi-criteria route planning based on a driver’s preferences in multi-criteria route selection

Cited by 38 publications

References 33 publications

Urban sprawl assessment and modeling using landsat images and GIS

Urban sprawl assessment and modeling using landsat images and GIS

Proposing a Multi-Criteria Path Optimization Method in Order to Provide a Ubiquitous Pedestrian Wayfinding Service

A New Multimodal Multi-Criteria Route Planning Model by Integrating a Fuzzy-Ahp Weighting Method and a Simulated Annealing Algorithm

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