Transport Choice Modeling for the Evaluation of New Transport Policies

Pijoan, Ander; Kamara-Esteban, Oihane; Alonso-Vicario, Ainhoa; Borges, Cruz E.

doi:10.3390/su10041230

Cited by 13 publications

(7 citation statements)

References 37 publications

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“…Therefore, it is necessary to use traffic simulation software to evaluate the changes of traffic operating state before and after the improvement. The VISSIM simulation software has been applied in the field of traffic simulation for more than 40 years [ 63 ]. Some achievements have been made in the research on some key parameters in traffic flow [ 64 ], including the car following model [ 65 , 66 ], driving behavior model [ 39 ], lane change model [ 67 ] and U-turn model [ 68 ].…”

Section: Problem Statement and Design Schemesmentioning

confidence: 99%

Evaluating Signalization and Channelization Selections at Intersections Based on an Entropy Method

Shao

Claudel

2019

Entropy

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Direct left turns (DLTs) could cause traffic slowdown, delay, stops, and even accidents on intersections, especially on no-median roads. Channelization and signalization can significantly diminish negative impact of DLTs. In China, a total of 56 large and medium-sized cities, including 17 provincial capitals, have adopted vehicle restriction policies due to traffic congestion, vehicle energy conservation and emission reduction, which cause travel inconvenience for citizens. This paper mainly studies signalization and channelization selections at intersections based on an entropy method. Based on the commonly used three evaluation indexes, the number of vehicles, CO emissions and fuel consumption have been added. The entropy evaluation method (EEM) method is innovatively used to objectively calculate the weight of the six indexes, which carry out the optimal traffic volume combinations for intersections of present situation, channelization and signalization. A VISSIM simulation is also used to evaluate the operating status of three conditions. The results show that EEM could help enormously in choosing different methods at a certain intersection. With the EEM, six indexes decrease by 20–70% at most.

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Section: Problem Statement and Design Schemesmentioning

confidence: 99%

Evaluating Signalization and Channelization Selections at Intersections Based on an Entropy Method

Shao

Claudel

2019

Entropy

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“…Bicycle traffic models allow the resolution of problems related, among other things, to demand and supply [116,122], route choice [123], lane change, and queueing behaviour [124][125][126]. The demand for cycling, the choice of bicycle routes, and the choice of cycling modes were found to be influenced by many factors, including the built environment [127][128][129][130]; socioeconomic [131][132][133][134], psychological (habits, attitudes, norms, stress), and physical characteristics [135][136][137][138][139]; policies that promote cycling [46,59,84,138,[140][141][142]; infrastructure for cyclists [39,[143][144][145]; cost; effort; distance travelled; travel time; road safety; climate and weather; and travel motivation [146][147][148][149][150]. The frequency of commute to work, the time to cycle, and the length of the journey are important features of active commute behaviour.…”

Section: Modelling Of Bicycle Trafficmentioning

confidence: 99%

Bicycle Traffic Model for Sustainable Urban Mobility Planning

2021

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Modelling tools and transport models are required to assess the impact of measures for the effective planning of cycling routes in cities. This paper presents the methodology for developing a four-stage macroscopic model of bicycle traffic for the city of Gdynia, and its use in planning new bicycle routes, considering a modal shift. The model presented in this paper allows for the evaluation of the influence of the characteristics of the cycling infrastructure, along with the development of the cycling network based on the choice of cycling as an alternative to other modes of transport, by taking into account the modal shift. The model takes into account the influence of the longitudinal gradient, link, and surface type of cycling routes on the distribution and demand for bicycle traffic. The results of our research allow us to assess the impact of planned cycling routes on the reduction in the volume of car traffic, which is crucial for reducing energy consumption and negative environmental impacts. Experiences from the application of the model in Gdynia suggest that the model provides a strong basis to support mobility planning and monitoring processes in cities worldwide. Cities should take into account the methods proposed in this paper when planning the development of their transport systems.

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“…Therefore, it is necessary to use traffic simulation software to evaluate the changes in the traffic operating state before and after implementing the designed improvement. The VISSIM simulation software has been applied in the field of traffic simulation for more than 40 years [41]. Some achievements have been made in the research on some key parameters in traffic flow [42], including car-following model [43, 44], driving behavior model [45, 46], lane change model [46] and U-turn model [47].…”

Section: Model Developmentmentioning

confidence: 99%

Evaluating the sustainable traffic flow operational features of an exclusive spur dike U-turn lane design

Shao

Han

et al. 2019

PLoS ONE

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The traditional U-turn design has significantly improved traffic operations for relieving traffic congestion. However, the U-turn diversion and merge segments still cause traffic conflicts and delays. In this paper, an exclusive spur dike U-turn lane (ESUL) is proposed with the aim of addressing the disadvantages of the traditional U-turn design. ESUL provides a separate U-turn lane to diverge, decelerate, U-turn, accelerate and merge without interacting with through traffic. The effectiveness of ESUL is demonstrated through a field data investigation, simulation and analysis with VISSIM software. The proposed design is evaluated in terms of three parameters: travel time, delay and number of stops. Compared to the traditional U-turn design, ESUL can reduce travel time by 29.15%, delay by 66.70% and the number of stops by 100% at most. The results showed that ESUL has better performance than the traditional U-turn design and could be implemented to reduce traffic congestion and the potential hazards caused by U-turn maneuvers.

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Transport Choice Modeling for the Evaluation of New Transport Policies

Cited by 13 publications

References 37 publications

Evaluating Signalization and Channelization Selections at Intersections Based on an Entropy Method

Evaluating Signalization and Channelization Selections at Intersections Based on an Entropy Method

Bicycle Traffic Model for Sustainable Urban Mobility Planning

Evaluating the sustainable traffic flow operational features of an exclusive spur dike U-turn lane design

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