scholarly journals Advanced Methodologies in Dynamic Traffic Assignment Modeling of Managed Lanes

2014 ◽  
Author(s):  
Shaghayegh Shabanian
Keyword(s):  
Traffic Assignment ◽  
Dynamic Traffic Assignment ◽  
Managed Lanes ◽  
Dynamic Traffic

scholarly journals Dynamic Toll Pricing using Dynamic Traffic Assignment System with Online Calibration

2019 ◽  
Vol 2673 (10) ◽  
pp. 532-546 ◽  
Author(s):  
Yundi Zhang ◽  
Bilge Atasoy ◽  
Arun Akkinepally ◽  
Moshe Ben-Akiva
Keyword(s):  
Traffic Assignment ◽  
Dynamic Traffic Assignment ◽  
Real Data ◽  
Discrete Choice Models ◽  
Evaluation Framework ◽  
Managed Lanes ◽  
Dynamic Traffic ◽  
Online Calibration ◽  
Real Network ◽  
Toll Pricing

The paper presents a toll pricing methodology using a dynamic traffic assignment (DTA) system. This methodology relies on the DTA system’s capability to understand and predict traffic conditions, thus enhanced online calibration methodologies are applied to the DTA system, featuring a heuristic technique to calibrate supply parameters online. Improved offline calibration techniques are developed to apply toll pricing in a real network consisting of managed lanes and general purpose lanes. The online calibration methodologies are tested using real data from this network, and the results find the DTA system able to estimate and predict traffic flow and speed with satisfactory accuracy under congestion. Toll pricing is formulated as an optimization problem to maximize toll revenue, subject to network conditions and tolling regulations. Travelers are assumed to make route choice based on offline calibrated discrete choice models. Toll optimization is applied in a closed-loop evaluation framework where a microscopic simulator is used to mimic the real network. Online calibration of the DTA system is enabled to ensure good optimization performance. Toll optimization is tested under multiple experimental scenarios, and the methodology is found able to increase toll revenue compared with the condition when online calibration is not available. It should be noted that the toll rates and revenues presented in this paper are obtained in a simulation environment based on the calibration and optimization algorithms, and as the work is ongoing these results are far from being a recommendation to operators of managed lanes.

scholarly journals A Strategic Model for Dynamic Traffic Assignment

2004 ◽  
Vol 4 (3) ◽  
pp. 291-315 ◽  
Author(s):  
Younes Hamdouch ◽  
Patrice Marcotte ◽  
Sang Nguyen
Keyword(s):  
Traffic Assignment ◽  
Dynamic Traffic Assignment ◽  
Dynamic Traffic ◽  
Strategic Model

Model and algorithm of stochastic dynamic traffic assignment based on dynamic rainfall intensity

2021 ◽  
pp. 1-11
Author(s):  
Xun Ji ◽  
Chunfu Shao
Keyword(s):  
Cost Function ◽  
Traffic Flow ◽  
Rainfall Intensity ◽  
Traffic Assignment ◽  
Dynamic Traffic Assignment ◽  
Dynamic Network ◽  
Travel Cost ◽  
Stochastic Dynamic ◽  
Dynamic Traffic ◽  
Rainy Weather

Frequent occurrence of urban rainy weather, especially rainstorm weather, affects transportation operation and safety, so it is essential that effective intervention measures to recover disordered traffic be adopted and then analyzed for their influence on the dynamic network. Therefore, models and algorithm to show dynamic traffic flow of traffic network in rainy weather are a fundamental need and have drawn great interest from governments and scholars. In this paper, innovative content contains a travel cost function considering rainfall intensity; considering the travel cost function, a dynamic traffic assignment model based on dynamic rainfall intensity is built. Then a corresponding algorithm is designed. Moreover, this study designs three scenarios under rainfall and analyzes the influence of the rainfall on an example network. The results show that rainfall has a significant effect on traffic flow. The finding proved the proposed models and algorithm can express the development trend of path flow rate on a dynamic network under rainfall.

Modelling Externalities using Dynamic Traffic Assignment Models: A Review

2011 ◽  
Vol 31 (4) ◽  
pp. 521-545 ◽  
Author(s):  
Luc Wismans ◽  
Eric Van Berkum ◽  
Michiel Bliemer
Keyword(s):  
Traffic Assignment ◽  
Dynamic Traffic Assignment ◽  
Dynamic Traffic ◽  
Assignment Models
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