Analysis of Imprecise Perception in Route Choice Considering Fuzzy Costs

Binetti, Mario; Mitri, Marco De; Ottomanelli, Michele

doi:10.1007/978-3-319-57105-8_23

Cited by 4 publications

(2 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The approach was tested in a traffic assignment framework. Binetti et al [29] proposed an approach where the imprecision in route cost perception was modeled by means of some parameters for cost definition and route classification (considering, in addition, the overlapping among different paths). A comparison between FUMs and RUMs is reported in [30], where the route choice model is defined as a three-level model (route generation, route perception, and route choice).…”

Section: Literature Reviewmentioning

confidence: 99%

Estimating Path Choice Models through Floating Car Data

Comi

Polimeni

2022

Forecasting

View full text Add to dashboard Cite

The path choice models play a key role in transportation engineering, especially when coupled with an assignment procedure allowing link flows to be obtained. Their implementation could be complex and resource-consuming. In particular, such a task consists of several stages, including (1) the collection of a large set of data from surveys to infer users’ path choices and (2) the definition of a model able to reproduce users’ choice behaviors. Nowadays, stage (1) can be improved using floating car data (FCD), which allow one to obtain a reliable dataset of paths. In relation to stage (2), different structures of models are available; however, a compromise has to be found between the model’s ability to reproduce the observed paths (including the ability to forecast the future path choices) and its applicability in real contexts (in addition to guaranteeing the robustness of the assignment procedure). Therefore, the aim of this paper is to explore the opportunities offered by FCD to calibrate a path/route choice model to be included in a general procedure for scenario assessment. The proposed methodology is applied to passenger and freight transport case studies. Significant results are obtained showing the opportunities offered by FCD in supporting path choice simulation. Moreover, the characteristics of the model make it easily applicable and exportable to other contexts.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Estimating Path Choice Models through Floating Car Data

Comi

Polimeni

2022

Forecasting

View full text Add to dashboard Cite

show abstract

“…Other fuzzy-based proposals have also been applied as a heuristic approach to the Traffic Assignment Problem (TAP) [32], proving a macroscopic routing perspective. This fuzzy macroscopic approach has been exposed by [33] considering fuzzy costs for the traffic network links and applying the model to the TAP. Fuzzy cost sets can be biased to avoid the Independence from Irrelevant Alternatives (IIA) from the Logit based models.…”

Section: Introductionmentioning

confidence: 99%

Modeling Driving Experience in Smart Traffic Routing Scenarios: Application to Traffic Multi-Map Routing

Paricio

López-Carmona

2021

IEEE Access

View full text Add to dashboard Cite

The effectiveness of user-oriented traffic routing applications to mitigate traffic congestion in Intelligent Transportation Systems depends on their degree of adoption, which usually evolves depending on subjective and exogenous factors. This paper proposes a user experience and social dynamics model to analyze and evaluate traffic routing methods, based on fuzzy rules and discrete choice theory. The model has been applied to the optimal Traffic-Weighted Multi-Maps (TWM) routing method to evaluate the adoption dynamics and analyze convergence towards the system optimum. Route unfairness and resistance to change are also considered in the model. Experimental results are obtained simulating the evolution of the drivers' population behavior. Simulation is carried over synthetic and real networks, using optimized TWM maps. The experimental results show how the TWM system evolves to a stationary System Optimum, improving overall traffic congestion and showing how User Equilibrium variability is bounded as it depends on user routing choices influenced by behavioral patterns.

show abstract

Application of Traffic Weighted Multi-Map Optimization Strategies to Traffic Assignment

Paricio

López-Carmona

2021

IEEE Access

View full text Add to dashboard Cite

Analysis of Imprecise Perception in Route Choice Considering Fuzzy Costs

Cited by 4 publications

References 19 publications

Estimating Path Choice Models through Floating Car Data

Estimating Path Choice Models through Floating Car Data

Modeling Driving Experience in Smart Traffic Routing Scenarios: Application to Traffic Multi-Map Routing

Application of Traffic Weighted Multi-Map Optimization Strategies to Traffic Assignment

Contact Info

Product

Resources

About