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Relevant bibliographies by topics / Origin and destination traffic survey Mathematical models

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Academic literature on the topic 'Origin and destination traffic survey Mathematical models'

Author: Grafiati

Published: 10 December 2022

Last updated: 31 July 2025

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Journal articles on the topic "Origin and destination traffic survey Mathematical models"

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Shevtsova, Anastasiya, Marina Yablonovskaya, and Alexey Borovskoy. "Origin-Destination Matrix as a Way to Create a Basic Algorithm for Simulation a Load of Transport Network." Applied Mechanics and Materials 725-726 (January 2015): 1218–23. http://dx.doi.org/10.4028/www.scientific.net/amm.725-726.1218.

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Article is devoted to studying of traffic flows using the origin-destination matrix. The first paragraph of this article deals with the possibility of applying the origin-destination matrix when modeling load of transport network. The types of transportations, the factors that affect the loading of the transport network are described. The concept of a generalized path cost, interdistrict transportations and some others are considered. There are proposed several steps to create a origin-destination matrix. In the second paragraph of the paper is proposed the classification of mathematical model

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Tuydes-Yaman, Hediye, Oruc Altintasi, and Nuri Sendil. "Better estimation of origin–destination matrix using automated intersection movement count data." Canadian Journal of Civil Engineering 42, no. 7 (2015): 490–502. http://dx.doi.org/10.1139/cjce-2014-0555.

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Intersection movements carry more disaggregate information about origin–destination (O–D) flows than link counts in a traffic network. In this paper, a mathematical formulation is presented for O–D matrix estimation using intersection counts, which is based on an existing linear programming model employing link counts. The proposed model estimates static O–D flows for uncongested networks assuming no a priori information on the O–D matrix. Both models were tested in two hypothetical networks previously used in O–D matrix studies to monitor their performances assuming various numbers of count l

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Karimi, Hadi, Seyed-Nader Shetab-Boushehri, and Ali Zeinal Hamadani. "OPTIMAL SENSOR LOCATION AND ORIGIN–DESTINATION MATRIX OBSERVATION WITH AND WITHOUT SENSORS ON UNCONGESTED NETWORKS." Transport 35, no. 3 (2019): 315–26. http://dx.doi.org/10.3846/transport.2019.11247.

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The Origin–Destination (O–D) matrix, is an important information in transportation planning and traffic control. Rapid changes in land use, particularly in developing countries, have been and are on an increase, which makes the estimation and observation of this matrix more significant. The objective of this paper is to observe O–D matrix under two scenarios. In the first scenario, it is assumed that the traffic network is equipped with path-ID sensors. In this situation, the goal is to determine the optimal number and location of these sensors in the network, where by applying collected infor

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Waller, S. Travis, Sai Chand, Aleksa Zlojutro, et al. "Rapidex: A Novel Tool to Estimate Origin–Destination Trips Using Pervasive Traffic Data." Sustainability 13, no. 20 (2021): 11171. http://dx.doi.org/10.3390/su132011171.

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A traffic assignment model is a critical tool for developing future transport systems, road policies, and evaluating future network upgrades. However, the development of the network and demand data is often highly intensive, which limits the number of cases where some form of the models are available on a global basis. These problems include licensing restrictions, bureaucracy, privacy, data availability, data quality, costs, transparency, and transferability. This paper introduces Rapidex, a novel origin–destination (OD) demand estimation and visualisation tool. Firstly, Rapidex enables the u

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Jiao, Pengpeng, and Tuo Sun. "Multiobjective Traffic Signal Control Model for Intersection Based on Dynamic Turning Movements Estimation." Mathematical Problems in Engineering 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/608194.

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The real-time traffic signal control for intersection requires dynamic turning movements as the basic input data. It is impossible to detect dynamic turning movements directly through current traffic surveillance systems, but dynamic origin-destination (O-D) estimation can obtain it. However, the combined models of dynamic O-D estimation and real-time traffic signal control are rare in the literature. A framework for the multiobjective traffic signal control model for intersection based on dynamic O-D estimation (MSC-DODE) is presented. A state-space model using Kalman filtering is first formu

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González Calderón, Carlos Alberto, Guillermo González Calderón, and John Jairo Posada Henao. "Solving the traffic assignment problem using real data for a segment of Medellin’s transportation network." Revista Facultad de Ingeniería Universidad de Antioquia, no. 59 (November 29, 2012): 47–58. http://dx.doi.org/10.17533/udea.redin.13755.

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This paper is based on data obtained from most recent transportation studies done in the Metropolitan Area of Valle de Aburrá, city of Medellín and other 9 municipalities. The studies were based on an Origin/Destination Survey (2005), Analysis of bus routes (2006), and Mobility Master Plan (2006). This paper explains the process of writing a software application for a given network (Network of Medellin) that solves the deterministic user equilibrium problem. The software code was implemented in Visual Basic .NET®,supported by some operations using Microsoft Excel®, and hardcoded for a segment

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Zhu, Lei, Jacob R. Holden, and Jeffrey D. Gonder. "Navigation Application Programming Interface Route Fuel Saving Opportunity Assessment on Large-Scale Real-World Travel Data for Conventional Vehicles and Hybrid Electric Vehicles." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 25 (2018): 139–49. http://dx.doi.org/10.1177/0361198118797805.

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The green-routing strategy instructing a vehicle to select a fuel-efficient route benefits the current transportation system with fuel-saving opportunities. This paper introduces a navigation application programming interface (API), route fuel-saving evaluation framework for estimating fuel advantages of alternative API routes based on large-scale, real-world travel data for conventional vehicles (CVs) and hybrid electric vehicles (HEVs). Navigation APIs, such as Google Directions API, integrate traffic conditions and provide feasible alternative routes for origin–destination pairs. This paper

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Lopez Jaramillo, Oscar, Joel Rinebold, Michael Kuby, et al. "Hydrogen Station Location Planning via Geodesign in Connecticut: Comparing Optimization Models and Structured Stakeholder Collaboration." Energies 14, no. 22 (2021): 7747. http://dx.doi.org/10.3390/en14227747.

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Geodesign is a participatory planning approach in which stakeholders use geographic information systems to develop and vet alternative design scenarios in a collaborative and iterative process. This study is based on a 2019 geodesign workshop in which 17 participants from industry, government, university, and non-profit sectors worked together to design an initial network of hydrogen refueling stations in the Hartford, Connecticut, metropolitan area. The workshop involved identifying relevant location factors, rapid prototyping of station network designs, and developing consensus on a final de

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Prieto, Kernel, M. Victoria Chávez–Hernández, and Jhoana P. Romero–Leiton. "On mobility trends analysis of COVID–19 dissemination in Mexico City." PLOS ONE 17, no. 2 (2022): e0263367. http://dx.doi.org/10.1371/journal.pone.0263367.

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This work presents a tool for forecasting the spread of the new coronavirus in Mexico City, which is based on a mathematical model with a metapopulation structure that uses Bayesian statistics and is inspired by a data-driven approach. The daily mobility of people in Mexico City is mathematically represented by an origin-destination matrix using the open mobility data from Google and the Transportation Mexican Survey. This matrix is incorporated in a compartmental model. We calibrate the model against borough-level incidence data collected between 27 February 2020 and 27 October 2020, while us

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Suyuti, Rusmadi. "PENGEMBANGAN ”REAL TIME TRAFFIC INFORMATION SYSTEM” BAGI PENGGUNA JALAN." Jurnal Sains dan Teknologi Indonesia 12, no. 3 (2013). http://dx.doi.org/10.29122/jsti.v12i3.861.

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Traffic information condition is a very useful information for road user because road user can choose his best route for each trip from his origin to his destination. The final goal for this research is to develop real time traffic information system for road user using real time traffic volume. Main input for developing real time traffic information system is an origin-destination (O-D) matrix to represent the travel pattern. However, O-D matrices obtained through a large scale survey such as home or road side interviews, tend to be costly, labour intensive and time disruptive to trip makers.

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Dissertations / Theses on the topic "Origin and destination traffic survey Mathematical models"

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Sivanandan, R. "A linear programming approach for synthesizing origin-destination (O-D) trip tables from link traffic volumes." Diss., This resource online, 1991. http://scholar.lib.vt.edu/theses/available/etd-07102007-142518/.

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Unnikrishnan, Avinash 1980. "Equilibrium models accounting for uncertainty and information provision in transportation networks." 2008. http://hdl.handle.net/2152/17916.

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Researchers in multiple areas have shown that characterizing and accounting for the uncertainty inherent in decision support models is critical for developing more efficient planning and operational strategies. This is particularly applicable for the transportation engineering domain as most strategic decisions involve a significant investment of money and resources across multiple stakeholders and has a considerable impact on the society. Moreover, most inputs to transportation models such as travel demand depend on a number of social, economic and political factors and cannot be predicted wi

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Copperman, Rachel Batya Anna 1982. "A comprehensive assessment of children's activity-travel patterns with implications for activity-based travel demand modeling." 2008. http://hdl.handle.net/2152/17843.

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Children are an often overlooked and understudied population group, whose travel needs are responsible for a significant number of trips made by a household. In addition, children’s travel and activity participation have direct implication for adults’ activity-travel patterns. A better understanding of children’s activity-travel patterns and the linkages between parents and children’s activity-travel needs is necessary for accurate prediction and forecasting of activity-based travel demand modeling systems. In contrast to the need to examine and model children’s activity-travel patterns, exist

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