The impact of travel information’s accuracy on route-choice

Ben-Elia, Eran; Pace, Roberta Di; Bifulco, Gennaro Nicola; Shiftan, Yoram

doi:10.1016/j.trc.2012.07.001

Cited by 170 publications

(83 citation statements)

References 42 publications

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“…At this aim a sort of "road map" may be drawn. 1) As concerns cost functions, deeper convergence analyses should be carried out for not-separable asymmetric cost functions; 2) As regards travel demand choice dimensions, it should be tested the effect on solution efficiency of choice models different from those usually adopted [70,71] 3) As regards solution algorithms, further enhancement of the Method of Successive Averages are necessary. Different averaging schemes, different averaging variable (one vs. two), different convergence tests.…”

Section: Conclusion and Research Needsmentioning

confidence: 99%

Stochastic equilibrium assignment with variable demand: literature review, comparisons and research needs

Cantarella

Luca

Gangi

et al. 2013

WIT Transactions on the Built Environment

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The aim of this paper is threefold: (1) propose a detailed literature review; (2) compare existing approaches and (3) discuss the main research needs. The literature review is structured with respect to (a) solution approaches: optimization, variational inequalities and fixed-point (internal and external approaches). (b) choice dimensions taken into account, (c) solution algorithms. The comparison is aimed at highlighting the transportation problems that each approach is able to address and to highlight the most effective approach within a specific problem and/or the most performing solution algorithm within the same approach. Finally, a sort of research "road-map" is drawn in order to emphasize research needs and research perspectives.

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Section: Conclusion and Research Needsmentioning

confidence: 99%

Stochastic equilibrium assignment with variable demand: literature review, comparisons and research needs

Cantarella

Luca

Gangi

et al. 2013

WIT Transactions on the Built Environment

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show abstract

“…Ben-Elia et al [20], Popovič and Habjan [21], and Litescu et al [22] explored the influence of information considering information quality. Besides, Ben-Elia and Shiftan [23] and Levinson [24] investigated the route choice problems.…”

Section: Introductionmentioning

confidence: 99%

The Effect of Connected Vehicle Environment on Global Travel Efficiency and Its Optimal Penetration Rate

Dai

Ding

et al. 2017

Journal of Advanced Transportation

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The effect of connected vehicle environment on the transportation systems and the relationship between the penetration rate of connected vehicle and its efficiency are investigated in this study. An example based on the classical two-route network is adopted in this study, in which the drivers consist of two types: informed and uninformed. The advantages and disadvantages of the connected vehicle environment are analyzed, and the concentration phenomenon is proposed and found to be mitigated when only a fraction of drivers are informed. The simulation tool embodying the characteristics of the connected vehicle environment is developed using the multiagent technology. Finally, different scenarios are simulated, such as the zero-information environment, the fullinformation environment, and the connected vehicle environment with various penetration rates. Moreover, simulation results of the global performance of the transportation system are compared. The results show that the connected vehicle environment can efficiently improve the performance of the transportation system, while the adverse effects due to concentration rise out from the excessive informed drivers. An optimal penetration rate of the connected vehicles is found to characterize the best performance of the system. These findings can aid in understanding the effect of the connected vehicle environment on the transportation system.

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“…Studies have shown that drivers are likely to respond to traffic information by changing their departure time, destination, mode, or divert to alternative routes. [1][2][3] Such understanding has enabled the traffic management department deliver real-time traffic information to influence drivers' travel choice to reduce traffic congestion.…”

Section: Introductionmentioning

confidence: 99%

Considering dynamic knowledge updating in bounded rationality–based route choice modeling

Jiang

2017

Advances in Mechanical Engineering

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To study the effect of en-route information on driver's route choice behavior, a dynamic route choice modeling approach is proposed, which takes the driver's knowledge updating process into consideration. A Bayesian network is developed to describe the en-route travel time updating process. Within the framework of the cumulative prospect theory, a choice model is conducted to analyze the driver's route choice behavior at each decision node. A numerical example is carried out to illustrate the application of the dynamic route choice modeling approach. The result demonstrates that the route choice behavior considering en-route information is a dynamic process. The traditional route choice model based on cumulative prospect theory without considering en-route information is also employed as a reference in the experiment. From the comparison, the dynamic route choice modeling approach in which a driver's knowledge of making en-route decisions is taken into account has a better goodness of fit. A stated preference survey is carried out to investigate drivers' route choice behaviors under different traffic scenario. The result indicates that the proposed approach could provide a more accurate description to driver's route choice behavior under the conditions of uncertainty.

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The impact of travel information’s accuracy on route-choice

Cited by 170 publications

References 42 publications

Stochastic equilibrium assignment with variable demand: literature review, comparisons and research needs

Stochastic equilibrium assignment with variable demand: literature review, comparisons and research needs

The Effect of Connected Vehicle Environment on Global Travel Efficiency and Its Optimal Penetration Rate

Considering dynamic knowledge updating in bounded rationality–based route choice modeling

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