Journal ArticleDOI
Calibration of large-scale transport planning models: a structured approach
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TLDR
A structured approach for determining optimal calibrated transport model parameters is suggested, which involves joint estimation and calibration of demand and network models, with a major focus on avoiding any manipulation of the OD matrix.Abstract:
Traditionally, transport planning model systems are estimated and calibrated in an unstructured way, which does not allow for interactions among included parameters to be considered. Furthermore, the computational burden of model systems plays a key role in choosing a calibration approach, and usually forces modellers to calibrate demand-side and network models separately. Also, trial-and-error methods and expert opinion are currently the backbones of transport model calibration, which leaves room for error in the calibrated parameters. This paper addresses these challenges and suggests a structured approach for determining optimal calibrated transport model parameters. This approach involves joint estimation and calibration of demand and network models, with a major focus on avoiding any manipulation of the OD matrix. The approach can be applied to static or dynamic traffic assignments. The approach is applied by calibrating GTAModel—an example of a large-scale agent-based model system from Toronto, Canada.read more
Citations
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On-street parking management and pricing policies: An evaluation from a system enhancement perspective
TL;DR: An agent-based simulation model is introduced to analyse the effects of different parking policies in a realistic dynamic framework and a novel behavioural pricing formulation is integrated into the simulation model, which dynamically seeks to maximise the total utility of all agents in the system with consideration of their travel behaviours.
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Formulation and solution approach for calibrating activity-based travel demand model-system via microsimulation
TL;DR: This study focuses on utility-maximizing nested logit activity-based model-systems and calibrating aggregate statistics and proposes a stochastic gradient-based solution procedure that outperforms other state-of-the-art purely simulation-based optimization approaches in terms of computational efficiency, stability, and convergence.
Journal ArticleDOI
An integrated approach to system dynamics and data envelopment analysis for determining efficient policies and forecasting travel demand in an urban transport system
Pegah Norouzian-Maleki,H. Izadbakhsh,Morteza Saberi,Omar Khadeer Hussain,Mustafa Jahangoshai Rezaee,Nasim GhanbarTehrani +5 more
TL;DR: In this paper, the authors proposed a set of effective policies and knowing when to use them to manage traffic congestion in urban areas, which can help to ease transport congestion within a crowded urban environment.
Journal ArticleDOI
Tolerance-based column generation for boundedly rational dynamic activity-travel assignment in large-scale networks
TL;DR: This study refines a tolerance-based column generation (TBCG) algorithm for solving BR-DATA problems in multi-state supernetworks without ATP enumeration and proves that the TBCG algorithm is capable of finding solutions that satisfy the BR- DATA user equilibrium conditions.
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Model formulation and calibration procedure for integrated multi-modal activity routing and network assignment models
TL;DR: A novel multi-visit vehicle routing problem is proposed which does not enumerate the node and link visits and a set of splitting ratios are introduced to calibrate the model based on the major travel attributes of the travel survey data.
References
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