Academic literature on the topic 'Origin and destination traffic surveys – Methodology'

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Journal articles on the topic "Origin and destination traffic surveys – Methodology"

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Du, Yiman, Jianping Wu, Yuhan Jia, and Ming Xu. "An Improved Regional Traffic Volume Dynamic Feedback Control." International Journal of Software Engineering and Knowledge Engineering 26, no. 09n10 (2016): 1539–54. http://dx.doi.org/10.1142/s0218194016400167.

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The connection between traffic congestion and regional demand has become a consensus. A reasonable road network inflow control is essential to prevent the occurrence of congestion. With a consideration of deployment of detectors, an improved macroscopic fundamental diagram-based traffic volume dynamic control method via the feedback control is proposed in this study. Based on the origin–destination distribution of trips and connectivity of nodes, a novel method is adopted to identify the key nodes, on which the detectors are laid. An artificial neural network is adopted to predict traffic volume of those sections without detectors. As a case study, the proposed methodology is applied and estimated via simulation study to the regional road network which is located in the downtown area of Nanning, China. Adequate survey and analysis are carried out under the current road traffic conditions. It is proved that the regional traffic volume dynamic control can ensure steady and orderly regional traffic flow, and enhance the mobility during saturated traffic conditions.
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Li, Jing, Yongbo Lv, Jihui Ma, and Qi Ouyang. "Methodology for Extracting Potential Customized Bus Routes Based on Bus Smart Card Data." Energies 11, no. 9 (2018): 2224. http://dx.doi.org/10.3390/en11092224.

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To alleviate traffic congestion and traffic-related environmental pollution caused by the increasing numbers of private cars, public transport (PT) is highly recommended to travelers. However, there is an obvious contradiction between the diversification of travel demands and simplification of PT service. Customized bus (CB), as an innovative supplementary mode of PT service, aims to provide demand-responsive and direct transit service to travelers with similar travel demands. But how to obtain accurate travel demands? It is passive and limited to conducting online surveys, additionally inefficient and costly to investigate all the origin-destinations (ODs) aimlessly. This paper proposes a methodological framework of extracting potential CB routes from bus smart card data to provide references for CB planners to conduct purposeful and effective investigations. The framework consists of three processes: trip reconstruction, OD area division and CB route extraction. In the OD area division process, a novel two-step division model is built to divide bus stops into different areas. In the CB route extraction process, two spatial-temporal clustering procedures and one length constraint are implemented to cluster similar trips together. An improved density-based spatial clustering of application with noise (DBSCAN) algorithm is used to complete these procedures. In addition, a case study in Beijing is conducted to demonstrate the effectiveness of the proposed methodological framework and the resulting analysis provides useful references to CB planners in Beijing.
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Pitombo, Cira Souza, Eiji Kawamoto, and Antonio Jorge Gonçalves de Sousa. "Linking activity participation, socioeconomic characteristics, land use and travel patterns: a comparison of industry and commerce sector workers." Journal of Transport Literature 7, no. 3 (2013): 59–86. http://dx.doi.org/10.1590/s2238-10312013000300004.

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The objective of this work is to analyze the travel behavior of industry and commerce sector workers in terms of three variables groups: activity participation, socioeconomic characteristics and land use. This work is based on the Origin-Destination survey carried out in the São Paulo Metropolitan Area (SPMA) in 1997. Relationships were found between the concerned variables (Decision Tree), and the statistical significance of independent variables was assessed (Multiple Linear Regression). We analyzed the influence of the three variables groups on travel pattern choices: (A) socioeconomic variables (Household Income, Transit Pass Ownership and Car-ownership) affect the travel mode sequence; (B) activity participation (Study, Work) has an effect on the trip purpose sequence; and (C) land use variables (accumulated proportion of jobs by distance buffers starting from the home traffic zone centroid) influence the sequence of destinations chosen, especially in the case of industry sector workers. The different spatial distributions of economic activities (commercial and industrial) in the urban environment influence the travel of workers. This paper contributes essentially proposing the land use variable, through the intervening opportunities model as well as the presentation of a methodology, formed by application of exploratory and confirmatory techniques of multivariate data analysis.
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Basuki, Kami Hari, Wahyudi Kushardjoko, and Andreana J. G. S. Pratama. "Analisis Kelayakan Perubahan fungsi Terminal Penumpang menjadi Fasilitas Parkir Angkutan Barang (Studi Kasus Terminal Terboyo Semarang)." MEDIA KOMUNIKASI TEKNIK SIPIL 23, no. 1 (2017): 14. http://dx.doi.org/10.14710/mkts.v23i1.12536.

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Semarang City has public transport terminal at Terboyo. It is unperformance terminal has caused by land subsidden and flood. The aims of this study is determined fisibility of Terboyo freight-transport terminal park at Semarang City. Methodology analysis at this study is improved transport modelling to determine freight-transport demand. Traffic counting survey with Manual Kapasitas Jalan Indonesia (MKJI) 1997 method are used to know the road and intersection performances that closest to Terminal Terboyo. The study results have showed most trucks parked in Kaligawe road and Yos Sudarso road was continuous journey, while trucks parked in Ronggowarsito road was a truck with the origin or destination of Semarang. Potential park fasilities at Terboyo is indicated by the length of the vehicle configuration plan of 8 meters and parking 45° obtained as much as 73 PSU (Parkign Space Unit), while the north side of the field with a length of 18 meters and plan vehicle parking configuration 30° obtained 76 PSU. It has powerfull to accommodate parking of heavy vehicles. This studi has not identified the potential of regional freight-transport. Occutionally, the pattern of movement of freight transport does not occur in the local area only. So, that further studies need to be conducted with respect to the coverage area of study on a regional basis.
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Lukic, Vesna. "On the interrelations between migration and commuting." Stanovnistvo 51, no. 1 (2013): 69–90. http://dx.doi.org/10.2298/stnv1301069l.

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In this paper, we emphasise the significance of studying the interrelations between commuting and migration. The aim of the paper is to point out the factors which affect these interrelations (demographic and socio-economic characteristics of migrants and commuters, labour market, real estate market, information, life style, etc.), with the special emphasis on the role of commuting distance onto the chosen mobility type. Besides theorethical frameworks and results of the selected foreign researches up to date, the overview of research of interrelations between migration and commuting in Serbia has also been presented. While earlier studies conducted by Gawryszenski (1978), Termote (1980) and Reitsma&Vergoossen (1987) pointed to the replacement of migration types between each other within country, in recent literature the interaction between migration and commuting has been studied in a trans-boundary context of the contemporary EU. Modern trend of long distance commuting instead of migration and the concept of substitution/replacement regarding migration and commuting have also been discussed. In Serbia, there is a positive correlation between commuting outflows and immigration in rural settlements of Vojvodina province. Namely, commuting and migration are complement, which is the characteristic of both processes sub-urbanisation and ex-urbanisation (Lukic, 2012). In addition to ownership of real estate and previous migration experience, marital status influenced the chosen mobility type in Serbia as well. Adjustment to changes of Serbian labour market is mostly conducted via migration (Miletic, Lukic, Miljanovic, 2011). Interrelations between migration and commuting are very significant due to the tendency of transformation of some commuters into migrants. This process has its consequences, both on demographic as well as the overall socio-economic development of the area of commuters? origin and destination. However, even though the surveys conducted in Serbia during the 1980s showed that around 30 per cent of commuters expressed desire to move to their place of work, the degree of realization of these intentions remained unknown. While in some countries traffic studies and data from the management of the enterprises are used as sources of data on commuting, the studies on the commuter population in Serbia are based solely onto two types of data sources. These are census and poll surveys. Although they have more potential than the official statistics for the analysis of the links between migration and commuting and other characteristics of commuters, poll surveys on this topic in Serbia are relatively rare due to financial and organizational obstacles. Indeed, the last major survey was conducted in the 1980s. Therefore, even though the interrelations between migration and commuting have been confirmed, there is still a lot of space for their research indicating the need for further methodology developments in researching these types of population mobility.
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Roddis, S. M., A. J. Richardson, and C. D. Mcpherson. "Obtaining Travel Intensity Profiles from Household Travel Survey Data." Transportation Research Record: Journal of the Transportation Research Board 1625, no. 1 (1998): 95–101. http://dx.doi.org/10.3141/1625-12.

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Innovative ways to examine the spatiotemporal variations in road traffic, by using data from the Victorian Activity and Travel Survey (VATS), are presented. The approach is shown to offer significant advantages over traditional methods of analysis, such as observational surveys or roadside traffic counts. By linking the complete vehicle travel paths reported in VATS with the detailed demographic data of the respondents, a comprehensive understanding of travel and driver behavior is developed. The general methodology described is shown to be applicable to any travel data obtained from household travel surveys, especially where the origins and destinations of the recorded trips have been geocoded and stored in a geographic information system.
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Ishikawa, Kazuki, and Daichi Nakayama. "Estimation of Origin-Destination Flows of Passenger Cars in 1925 in Old Tokyo City, Japan." ISPRS International Journal of Geo-Information 8, no. 11 (2019): 472. http://dx.doi.org/10.3390/ijgi8110472.

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In recent years, surveys of personal travel behavior have been conducted around the world and these surveys have been used for understanding the characteristics of people flow. However, it is impossible to acquire people and traffic flows for the modern era (1868–1945). In modern era Japan, some traffic surveys were conducted, and that records still persist. The purpose of this study was to estimate origin-destination (OD) flows in old Tokyo in 1925 based on the historical traffic census record. In this study, OD flows were estimated using an absorbing Markov chain model, which is a simple model based on traffic generation and transition probabilities. Transition probabilities in unobserved nodes were estimated using genetic algorithms (GA). The result of OD distributions is clearly different in the eastern part of Tokyo City, the Shitamachi area, from the western part, the Yamanote area. The traffic was very busy in Shitamachi, an area which included terminal stations and a central business district. In Yamanote, major traffic generation and absorption points were distributed along the main streets to the Shinjuku or Shibuya areas. These results are affected by the distribution of main roads and the locations of residences or workplaces of car owners.
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Oh, Cheol, and Stephen G. Ritchie. "Development of Methodology to Design Advanced Traffic Surveillance Systems for Traffic Information Based on Origin–Destination." Transportation Research Record: Journal of the Transportation Research Board 1935, no. 1 (2005): 37–46. http://dx.doi.org/10.1177/0361198105193500105.

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The innovative feature of this study is first to develop a methodology for designing advanced traffic surveillance systems based on microscopic traffic simulations. The developed methodology makes it possible ultimately to obtain algorithm structures and associated parameter values. The methodology consists of two main simulation experiments. The first experiment includes a parametric evaluation based on Monte Carlo simulation to identify the required performance of the surveillance system. The second experiment involves performing a microscopic traffic simulation with actual surveillance algorithms and synthetic algorithm inputs. Paramics capable of adding various external modeling routines realized by advanced programming interfaces was used for both simulation experiments. As an application of the proposed methodology, an inductive signature–based anonymous vehicle tracking system was designed via origin–destination flow estimation problem. The outcomes of this study can serve as a logical and necessary precursor to field implementation of a variety of traffic surveillance systems.
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Dragu, Vasile, and Eugenia Alina Roman. "The Origin–Destination Matrix Development." MATEC Web of Conferences 290 (2019): 06010. http://dx.doi.org/10.1051/matecconf/201929006010.

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Transport studies are conducted for a better understanding of the actual mobility and for developing transport forecasting models to predict the future transport demand and the changes in travel patterns. Transport planning involves the decision-making process for potential improvements to a community’ s roadway infrastructure. The first transport models used to analyze globally the transport system requirements while nowadays models were rethought as a demand – supply interaction reflecting the correlation between transport and socio-economic development. The transport forecasting methodology use a four stage structure consisting of: trip generation, trip distribution, modal split, traffic assignment. In the second stage of the model, the generated trips for each zone are distributed to all other zones based on the choice of destination. The trip pattern is represented by means of an origin-destination (O-D) matrix. The Growth Factor Model and the Gravity Model are two methods to distribute trips among destinations. The two methods for developing the O-D Matrix are presented and criticized in this paper, showing the similarities and differences between them and highlighting the implications for rigorous determination of future transport demand. A case study is done to emphasize the differences between these models and their implications in carrying out transport studies.
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Nabizade Gangeraj, Ebrahim, Gholam Ali Behzadi, and Reza Behzad. "Estimation of Origin – Destination Matrix from Traffic Counts Based On Fuzzy Logic." Civil Engineering Journal 3, no. 11 (2017): 1166. http://dx.doi.org/10.28991/cej-030946.

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Determining trip demand matrix is among the basic data in transportation planning. This matrix is derived by surveys, interviews with citizens or questionnaires that required time, money and manpower. Thus, in recent years, demand estimation methods based on network information is taken into consideration. In these methods with the information including: volume, travel time, capacity of the links and initial demand matrix it is possible to estimate the demand matrix. In this paper, we removed the additional parameters in previous studies and used a simple solution to estimate the matrix. This paper proposes a Fuzzy-PFE estimation method that allows to improve the estimation performances of PFE estimator. The objective function presented based on the reduction of travel time and travel time of routs in networks is uncertain. The method is developed by fuzzy sets theory and fuzzy programming that seems to be convenient theoretical framework to represent uncertainty in the available data. The new model is the removal of iterative process of origin - destination matrix estimation using travel time and increase convergence of the model for the large-scale and congested networks by applying little changes in the basic model. In this paper we used TRANSCAD Software to determine the shortest path in the network and optimization of objective function is performed by CPLEX.
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Dissertations / Theses on the topic "Origin and destination traffic surveys – Methodology"

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Wang, Qian. "Smartphone-based Household Travel Survey - a Literature Review, an App, and a Pilot Survey." Thesis, University of North Texas, 2014. https://digital.library.unt.edu/ark:/67531/metadc700116/.

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High precision data from household travel survey (HTS) is extremely important for the transportation research, traffic models and policy formulation. Traditional methods of data collection were imprecise because they relied on people’s memories of trip information, such as date and location, and the remainder data had to be obtained by certain supplemental tools. The traditional methods suffered from intensive labor, large time consumption, and unsatisfactory data precision. Recent research trends to employ smartphone apps to collect HTS data. In this study, there are two goals to be addressed. First, a smartphone app is developed to realize a smartphone-based method only for data collection. Second, the researcher evaluates whether this method can supply or replace the traditional tools of HTS. Based on this premise, the smartphone app, TravelSurvey, is specially developed and used for this study. TravelSurvey is currently compatible with iPhone 4 or higher and iPhone Operating System (iOS) 6 or higher, except iPhone 6 or iPhone 6 plus and iOS 8. To evaluate the feasibility, eight individuals are recruited to participate in a pilot HTS. Afterwards, seven of them are involved in a semi-structured interview. The interview is designed to collect interviewees’ feedback directly, so the interview mainly concerns the users’ experience of TravelSurvey. Generally, the feedback is positive. In this study, the pilot HTS data is successfully uploaded to the server by the participants, and the interviewees prefer this smartphone-based method. Therefore, as a new tool, the smartphone-based method feasibly supports a typical HTS for data collection.
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Gan, Liping. "Optimal traffic counting location for origin-destination matrix estimation /." View Abstract or Full-Text, 2002. http://library.ust.hk/cgi/db/thesis.pl?CIVL%202002%20GAN.

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Thesis (M. Phil.)--Hong Kong University of Science and Technology, 2002.<br>Includes bibliographical references (leaves 104-106). Also available in electronic version. Access restricted to campus users.
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Lu, Dawei. "Route Level Bus Transit Passenger Origin-Destination Flow Estimation Using Apc Data: Numerical And Empirical Investigations." Columbus, Ohio : Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1228268640.

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Arora, Namita. "Dynamic estimation of origin-destination trip-tables from real-time traffic volumes using parameter optimization methods." Thesis, This resource online, 1993. http://scholar.lib.vt.edu/theses/available/etd-11102009-020100/.

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Unnikrishnan, Avinash. "Equilibrium models accounting for uncertainty and information provision in transportation networks." [Austin, Tex. : University of Texas Libraries, 2008. http://www.lib.utexas.edu/etd/d/2008/unnikrishnana67041/unnikrishnana67041.pdf#page=3.

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Gericke, Kevin Louis. "Multiple destination trips and the economic valuation of outdoor recreation sites." Diss., Virginia Tech, 1993. http://hdl.handle.net/10919/29320.

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This study examines multiple destination recreation trips and the economic valuation of recreation sites using the travel cost method. One common assumption of the travel cost method is that all travel costs incurred by a visitor are exclusively for a trip to a single site. However, this assumption is often invalid, particularly in the eastern United States where there are numerous recreation areas close to large urban populations. Few researchers have attempted to overcome the difficulty of incorporating multiple destination trips into the travel cost method. Those researchers that have proposed methods have not provided a definitive guideline for how to account for multiple destination trips in the travel cost method, and have not compared their methods. This study proposes a simple model to assist in understanding the varying suggestions by researchers who have attempted to incorporate multiple destination trips into travel cost analyses. The difficulty of defining a recreation good or service, the identification of recreation substitutes, and possible decision processes used by individuals to identify recreation trip destinations are also discussed. Data collected at Shenandoah National Park, Virginia, are used in a zonal travel cost model to estimate the consumers' surplus associated with on-site recreation use at the Park, and to compare proposed methods for handling multiple destination trips. The results of this study show that the travel cost method is sensitive to assumptions about multiple destination visitors, as well as which visitors are included in travel cost analyses. Consumers' surplus estimates ranged from $38 to $8249 per visitor, depending on the assumptions about multiple destination trips, and which visitors were included in the analyses. The results of this study suggest that the travel cost method can be used as an information system, rather than as a method to determine a single estimate of recreation value in monetary terms. The travel cost method is capable of providing a manager with information about relative magnitudes of willingness to pay for a resource by a variety of visitor groups. By varying the assumptions about visitors to the site, a manager can determine a range of consumers' surplus estimates, which may be more useful than a single estimate, to better assist in management decisions regarding the mixture of resources desired by individuals.<br>Ph. D.
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Currans, Kristina Marie. "Issues in Urban Trip Generation." PDXScholar, 2017. https://pdxscholar.library.pdx.edu/open_access_etds/3778.

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In the 1976, the Institute of Transportation Engineers (ITE) compiled their first Handbook of guidelines and methods for evaluating development-level transportation impacts, specifically vehicular impacts (Institute of Transportation Engineers 1976). Decades later, these methods--essentially the same as when they were originally conceived--are used ubiquitously across the US and Canada. Only recently, with the guidelines in its third edition of the ITE's Trip Generation Handbook (Institute of Transportation Engineers 2014) new data and approaches have been adopted--despite substantial evidence that questions the accuracy of older data, automobile bias, and lack of sensitivity to urban contexts. This dissertation contributes to this literature by focusing on the data, methods, and assumptions so commonly included in development- or site-level evaluation of transportation impacts. These methods are omnipresent in development-level review--used in transportation impact analyses or studies (TIAs/TISs) of vehicular or mode-based impacts, vehicle miles traveled (VMT) and estimates of emissions, scaling or scoping development size, and evaluating transportation system development, impact or utility fees or charges. However, few have evaluated the underlying characteristics of these foundational data--with few exceptions--this manuscript takes aim at understanding inherent issues in the collection and application of ITE's data and methods in various urban contexts. This manuscript includes a compiled dissertation, four papers written consecutively. The first, evaluates state-of-the-art methods in Chapter 2--identifying gaps in the literature. Two such gaps are explored in Chapter 3 and Chapter 4. In Chapter 3, a larger implicit assumption present in ITE's methods--that the existing land-use taxonomy is an optimal and accurate way to describe land use and segment data. Results indicate a simplified taxonomy would provide substantial reductions in cost corresponding with a minor loss in the model's explanation of variance. Following, Chapter 4 explores a common assumption that requires ITE's vehicle trips be converted into person trips and applied across contexts. The results point to the need to consider demographics in site-level transportation impact analysis, particularly to estimate overall demand (person trips, transaction activity) at retail and service development. In Chapter 5, the findings from this research and previous studies are extrapolated to evaluate and quantify the potential bias when temporal, special, and social contexts are ignored. The results indicate the compounding overestimation of automobile demand may inflate estimation by more than 100% in contexts where ITE should be applicable (suburban areas with moderate incomes). In the conclusions (Chapter 6), the implications of this work are explored, followed by recommendations for practice and a discussion of the limitations of this research and future work.
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Currans, Kristina Marie. "Improving Vehicle Trip Generation Estimations for Urban Contexts: A Method Using Household Travel Surveys to Adjust ITE Trip Generation Rates." PDXScholar, 2013. https://pdxscholar.library.pdx.edu/open_access_etds/987.

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The purpose of this research is to develop and test a widely available, ready-to-use method for adjusting the Institute of Transportation Engineers (ITE) Trip Generation Handbook vehicle trip generation estimates for urban context using regional household travel survey data. The ITE Handbook has become the predominant method for estimating vehicle trips generated by different land uses or establishment, providing a method for data collection and vehicle trip estimation based on the size of the development (e.g. gross square footage, number of employees, number of dwelling units). These estimates are used in traffic impact analysis to assess the amount of impact the development will have on nearby transportation facilities and, the corresponding charges for mitigating the development's negative impacts, with roadway expansions, added turning bays, additional parking or traffic signalization, for example. The Handbook is often criticized, however, for its inability to account for variations in travel modes across urban contexts. For more than fifty years, ITE has collected suburban, vehicle-oriented data on trip generation for automobiles only. Despite the provision of warnings against application in urban areas, local governments continue to require the use of the ITE Handbook across all area-types. By over predicting vehicle traffic to developments in urban developments, developments may be overcharged to mitigate these developments locating in urban environments despite the lower automobile mode shares, discouraging infill development or densification. When ITE's Trip Generation Handbook overestimates the vehicle impact of a development, facilities are also overbuilt for the automobile traffic and diminishing the use of alternative modes. When ITE's TGH underestimates this impact, adjacent facilities may become oversaturated with traffic, pushing cars onto smaller facilities nearby. Currently, there is momentum amongst practitioners to improve these estimation techniques in urban contexts to help support smart growth and better plan for multiple modes. This research developed and tested a method to adjust ITE's Handbook vehicle trip generation estimates for changes in transportation mode shares in more urban contexts using information from household travel surveys. Mode share adjustments provide direct reductions to ITE's Handbook vehicle trip estimations. Household travel survey (HTS) data from three regions were collected: Portland, Oregon; Seattle, Washington; and Baltimore, Maryland. These data were used to estimate the automobile mode share rates across urban context using three different adjustment methodologies: (A) a descriptive table of mode shares across activity density ranges, (B) a binary logistic regression that includes a built environment description of urban context with the best predictive power, and (C) a binary logistic regression that includes a built environment description of urban context with high predictive power and land use policy-sensitivity. Each of these three methods for estimating the automobile mode share across urban context were estimated for each of nine land use categories, resulting in nine descriptive tables (Adjustment A) and eighteen regressions (Adjustments B and C). Additionally, a linear regression was estimated to predict vehicle occupancy rates across urban contexts for each of nine land use categories. 195 independently collected establishment-level vehicle trip generation data were collected in accordance with the ITE Handbook to validate and compare the performance of the three adjustment methods and estimations from the Handbook. Six land use categories (out of the nine estimated) were able to be tested. Out of all of the land uses tested and verified, ITE's Trip Generation Handbook appeared to have more accurate estimations for land uses that included residential condominiums/townhouses (LUC 230), supermarkets (LUC 850) and quality (sit-down) restaurants (LUC 931). Moderate or small improvements were observed when applying urban context adjustments to mid-rise apartments (LUC 223), high-turnover (sit-down) restaurants (LUC 932). The most substantial improvements occurred at high-rise apartments (LUC 222) and condominiums/townhouses (LUC 232), shopping centers (LUC 820), or coffee/donut (LUC 936) or bread/donut/bagel shops (LUC 939) without drive-through windows. The three methods proposed to estimate automobile mode share provides improvements to the Handbook rates for most infill developments in urban environments. For the land uses analyzed, it appeared a descriptive table of mode shares across activity density provided results with comparable improvements to the results from the more sophisticated binary logistic model estimations. Additional independently collected establishment-level data collections representing more land uses, time periods and time of days are necessary to determine how ITE's Handbook performs in other circumstances, including assessing the transferability of the vehicle trip end rates or mode share reductions across regions.
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Diniz, Junior Paulo Carvalho. "Serviços telemáticos em uma rede de transporte público baseados em veículos conectados e dados abertos." Universidade Tecnológica Federal do Paraná, 2017. http://repositorio.utfpr.edu.br/jspui/handle/1/2691.

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VINNOVA;KTH;URBS<br>Um conceito bastante em voga atualmente e o de cidades inteligentes. Ele define um tipo de desenvolvimento urbano capaz de reduzir os impactos ambientais, melhorando os modelos atuais de acesso a recursos naturais, transportes, gestão do lixo, climatização residencial e sobretudo a gestão da energia (produção e distribuição). O massivo volume de dados produzidos por cidades inteligentes oferece uma grande oportunidade para analisar, compreender e melhorar o modo como elas funcionam e se desenvolvem. Esta explosão na quantidade de informações tem elevado a importância do aprendizado a partir de dados a um patamar extremamente elevado. Esta dissertação tem por objetivo descrever uma metodologia para aquisição e exploração de dados de um dos mais importantes pilares de cidades inteligentes: o sistema de transporte público. Como obter, armazenar e utilizar tais dados a fim de prover a todos os envolvidos, serviços telemáticos de alto valor agregado e o problema que se busca resolver neste trabalho. Cinco serviços telemáticos são propostos sob forma de prova de conceito: avaliação da cobertura da rede de transporte atual, seguida de uma proposta de novas linhas de ônibus; avaliação indireta da ocupação diária dos ônibus da cidade; cerca-eletrônica com os limites geográficos definidos pelos itinerários das linhas; serviços de alerta de velocidade e de manutenção. Os resultados são bastante coerentes e promissores, abrindo um grande leque de possíveis trabalhos futuros a serem explorados.<br>Smart city is a very trendy concept today. It defines a type of urban development capable of reducing environmental impacts, enhancing current models of access to natural resources, better transportation systems, waste management, residential climatization and, above all, energy management (production and distribution). The huge data volume produced by smart cities offers a great opportunity to analyze, understand and improve the way cities work and grow. This explosion in the amount of digital information has elevated the importance of learning from data to a higher level. This document aims at describing a methodology for acquiring and exploring data from one of the most important pillars of smart cities: the public transportation system. How to acquire, store and use such data in order to provide to all stakeholders telematics services with high added value is the problem that is sought to solve in this work. Five telematics services proof of concept are proposed: assessment of current network coverage followed by the proposal of some new bus lines; indirect evaluation of buses’ passengers occupation during the day; geofence with geographical boundaries according to itineraries; speed alert and maintenance reminder services. The results are very coherent and promising, opening up a wide range of possible future work to be explored.
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Watson, James. "Implications Of Origin-Destination Distribution In Freeway Simulation." Thesis, 2004. http://hdl.handle.net/10125/10421.

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Books on the topic "Origin and destination traffic surveys – Methodology"

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Bradshaw, Catherine. Origin and destination studies literature search results. Washington State Dept. of Transportation, 1999.

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Borland, D. J. An Origin-destination survey method for small town bypasses. An Foras Forbartha, 1985.

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Ochoa, Don. 1991 statewide travel survey: Summary of findings. The Department, 1992.

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California. Dept. of Transportation. California statewide household travel survey, 2000-2001: Final report. NuStats, 2002.

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Arribasplata, Malena. Analysis of origin/destination survey highway 401 & highway 7A in Durham region. Ontario Ministry of Transportation, Transportation Demand Research Office, 1989.

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United States. Congress. Senate. Committee on Commerce, Science, and Transportation. Subcommittee on Business, Trade, and Tourism. Travel and tourism statistics: Hearing before the Subcommittee on Business, Trade, and Tourism of the Committee on Commerce, Science, and Transportation, United States Senate, Ninety-ninth Congress, second session ... October 1, 1986. U.S. G.P.O., 1987.

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Weissmann, Angela Jannini. Analysis of U.S.-Mexico traffic within Texas. Center for Transportation Research, Bureau of Engineering Research, the University of Texas at Austin, 1995.

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Ochoa, Don L. 1991 statewide travel survey: Final report. California, Dept. of Transportation, Office of Traffic Improvement, 1993.

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Africa, Statistics South. National Household Travel Survey, 2013: Technical report. Statistics South Africa, 2014.

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Lee-Gosselin, Martin. International study of car-use. The Centre, 1990.

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Conference papers on the topic "Origin and destination traffic surveys – Methodology"

1

Liu, Xiaobo, Lianyu Chu, and Mei Chen. "Development of an Adaptive Origin-Destination Estimation Methodology Considering Traffic Operational Characteristics." In Third International Conference on Transportation Engineering (ICTE). American Society of Civil Engineers, 2011. http://dx.doi.org/10.1061/41184(419)61.

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Lu, Alex, Thomas Marchwinski, Robert Culhane, and Xiaojing Wei. "Estimation of Pre-COVID19 Daily Ridership Patterns From Paper and Electronic Ticket Sales Data With Origin-Destination, Time-Of-Day, and Train-Start Detail on a Commuter Railroad: Quick-Response Big Data Analytics in a World Steeped With Tradition." In 2021 Joint Rail Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/jrc2021-59109.

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Abstract Our niche method independently estimates hourly commuter rail station-to-station origin-destination (OD) matrix data each day from ticket sales and activation data from four sales channels (paper/mobile tickets, mail order, and onboard sales) by extending well-established transportation modelling methodologies. This algorithm’s features include: (1) handles multi-pack pay-per-ride fare instruments not requiring electronic validation, like ten-trip paper tickets “punched” onboard by railroad conductors; (2) correctly infers directionality for direction-agnostic ticket-types; (3) estimates unlimited ride ticket utilization patterns sufficiently precisely to inform vehicle assignment/scheduling; (4) provides integer outputs without allowing rounding to affect control totals nor introduce artifacts; (5) deals gracefully with cliff-edge changes in demand, like the COVID19 related lockdown; and (6) allocates hourly traffic to each train-start based on passenger choice. Our core idea is that the time of ticket usage is ultimately a function of the time of sale and ticket type, and mutual transformation is made via probability density functions (“patterns”) given sufficient distribution data. We generated pre-COVID daily OD matrices and will eventually extend this work to post-COVID inputs. Results were provided to operations planners using visual and tabular interfaces. These matrices represent data never previously available by any method; prior OD surveys required 100,000 respondents, and even then could neither provide daily nor hourly levels of detail, and could not monitor special event ridership nor specific seasonal travel such as summer Friday afternoons.
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