A new fuzzy approach to estimate the O–D matrix from link volumes

Shafahi, Yousef; Faturechi, Reza

doi:10.1080/03081060903374700

Cited by 13 publications

(4 citation statements)

References 15 publications

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“…Reddy and Chakraborty (1998) developed a fuzzy bilevel inference applying maximum entropy in the upper level using assignment algorithm [17]. Shafahi and Faturechi (2009) proposed a new method for estimation of fuzzy OD matrix which takes into account link data as a fuzzy value which varies to the certain bandwidth [18]. Yousefkia et al (2013) proposed a modified TFlow Fuzzy (TFF) for the estimation of OD matrix taking into account counting like not precious based on fuzzy sets theory.…”

Section: Literature Reviewmentioning

confidence: 99%

Building and Calibration Transport Demand Model in Anamorava Region

2019

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The main objective of this research is to develop a model and to calibrate it in order to apply it to transport forecasting for Anamorava region. The synthetic model has been developed, and it is composed of a transport network model and a demand model, which is enabled using PTV Visum software as well as using the following variables as input: number of residents, number of people employed, working places available as well as the volume of vehicles entering and leaving certain locations surrounding the Anamorava region at "peak hour". Required coefficients are used for converting the traffic volumes from 12 hours to 24 hours expressed, such as AADT. As a criterion, for initial verification R 2 , RMSPE, Percentage Deviation and Regression parameters are used. Then, a calibration of the demand model is conducted using the TFlowFuzzy algorithm by employed GEH test, comparing it with the observed data of traffic volumes accomplished simultaneously at some locations inside and in the vicinity of this region for time intervals of 12 hours on two different days in one week in May 2016. In order to fulfil all the criterions, it has been found out that the final model may be used for transport demand forecasting in the future in this region.

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Section: Literature Reviewmentioning

confidence: 99%

Building and Calibration Transport Demand Model in Anamorava Region

2019

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“…To demonstrate the proposed modeling approach, numerical tests are performed on two networks, an artificial six-node network and Sioux Falls network [21,30]. The results reported below are from our GAMS [31] implementation on a Lenovo computer with 3.4 GHz Intel i7 CPU and 4 GB of Ram.…”

Section: Numerical Testmentioning

confidence: 99%

Designing Vehicle Turning Restrictions Based on the Dual Graph Technique

Zhang

Wang

et al. 2017

Mathematical Problems in Engineering

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This paper investigates the turning restriction design problem that optimizes the turning restriction locations so as to minimize the total system travel time under the assumption of asymmetric user equilibrium. We first transform a transportation network into a dual graph, where traffic turning movements are explicitly modeled as dual links. The dual transformation allows us to derive a link-based formulation for the turning restriction design problem. Asymmetric user equilibrium is incorporated in the model as a set of nonlinear constraints. A dual-based heuristic algorithm is employed to solve the problem, by sequentially solving a relaxed turning restriction design problem and a design updating problem.

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“…There appeared a mass of literature on the discussion of the problem of origin-destination (O-D) matrix estimation on transportation networks in the past decades due to the important role of the accuracy forecasting of trip demands in transportation management. Various estimation approaches with the use of the observation data on some selected links of the transportation network have been developed in the literature [1][2][3][4][5][6][7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

“…In recent studies, the fuzzy method has been adopted for the estimation of the O-D matrix [8], especially for the estimation while the observation data is incomplete or imprecise [9]. Some researchers [10][11] recently discussed how to apply the new technologies such as internet routing data or global position system (GPS) data to estimate the O-D matrix.…”

Section: Introductionmentioning

confidence: 99%

An Activity-Based Model for the Estimation of Origin-Destination Matrix on Road Networks

2018

Teh. vjesn.

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Travel demand forecasting in terms of origin-destination (O-D) matrix estimation on transportation networks is an important topic in transportation research. The motivation of each trip is the user's desire of conducting a compulsory or noncompulsory activity. User activity choices should not be ignored for the trip demand forecasting; nevertheless, there are scare approaches of O-D matrix estimation incorporating users' activity behavior in the literature. This study develops an activity-based bi-level model for the estimation of O-D matrix on road networks using the activity-based approach where road users' activity and travel choices are integrated scheduled. In the estimation, the parameter of the user activity and travel choice model is simultaneously calibrated. A heuristic algorithm is explored to solve the model. A numerical example is provided. The example results illustrate that the developed model and heuristic algorithm are applicable and efficient tools to deal with the problem of O-D matrix estimation.

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A new fuzzy approach to estimate the O–D matrix from link volumes

Cited by 13 publications

References 15 publications

Building and Calibration Transport Demand Model in Anamorava Region

Building and Calibration Transport Demand Model in Anamorava Region

Designing Vehicle Turning Restrictions Based on the Dual Graph Technique

An Activity-Based Model for the Estimation of Origin-Destination Matrix on Road Networks

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