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

Author: Grafiati

Published: 4 June 2021

Last updated: 3 February 2022

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1

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 volu

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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 ineffi

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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 vari

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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 wa

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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

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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

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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 mod

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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 algo

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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

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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

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Bagolee, Saeed Asadi, Mohsen Asadi, and Lorna Richardson. "Identifying traffic count posts for origin-destination matrix adjustments: An approach to actual size networks." Journal of Transportation Management 22, no. 1 (2011): 79–88. http://dx.doi.org/10.22237/jotm/1301616360.

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For transportation planners, the use of Origin-Destination (OD) matrix adjustment, is receiving considerable attention. However, there are concerns about the validity of results, primarily related to the number and location of traffic count posts. This leads to the question “What would be the best set of traffic count posts to use in OD matrix adjustment modules?” It has been proved that solving this problem is cumbersome. There have been several attempts (either exact or heuristic approaches) to address this problem. But due to the inherent complexities, there is no efficient and easy-to-use

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Lee, M., H. Nam, and C. Jun. "ORIGIN-DESTINATION-BASED PUBLIC TRANSPORT SERVICE GAP." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W9 (October 30, 2018): 283–90. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w9-283-2018.

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<p><strong>Abstract.</strong> There are some studies that analyze public transport service gap by region from comparing supply and demand. However, due to data limitations, previous studies were limited in subdividing region-based service gap by Origin-Destination (O-D). This study analyzes the gaps of public transport services based on O-D, a micro spatial unit. The data used in this study include timetable of public transport and smart card data stored with transportation used records of individual users. The supply index presented in this study is based on O-D travel time

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Harrison, Robert. "Using Brokers to Determine North American Free Trade Agreement Truck Origins and Destinations at Texas-Mexico Border." Transportation Research Record: Journal of the Transportation Research Board 1719, no. 1 (2000): 136–39. http://dx.doi.org/10.3141/1719-17.

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U.S.-Mexico trade continues to grow, much of it crossing into Texas, where bridges over the Rio Grande carry the vehicular and rail traffic. Currently, more than 70 percent of North American Free Trade Agreement U.S.-Mexico trade is by truck, and substantial delays and other social costs are a feature of border port-of-entry systems. New bridge locations are being proposed, and each site must be carefully evaluated to ensure that it is economically feasible. As part of this evaluation process, origin and destination surveys are used to determine bridge location and demand. Many of the truck tr

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Diallo, Abdoulaye, Jean-Simon Bourdeau, Catherine Morency, and Nicolas Saunier. "Methodology of parking analysis." Canadian Journal of Civil Engineering 42, no. 4 (2015): 281–85. http://dx.doi.org/10.1139/cjce-2013-0458.

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Cities are facing many challenges, in particular in relation to the mobility of people and the structure of land use. Parking management, which makes the link between land use and transportation, is one of the crucial ways to meet these challenges. In the Greater Montreal Area, data from origin–destination (OD) surveys is helpful in understanding typical travel behaviour. This study processes car driver trips from travel surveys to develop vehicle accumulation profiles and derive theoretical parking supplies from the observed parking demand, defined as the maximal number of cars parked in an a

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Moyo, T., and W. Musakwa. "USING CROWDSOURCED DATA (TWITTER & FACEBOOK) TO DELINEATE THE ORIGIN AND DESTINATION OF COMMUTERS OF THE GAUTRAIN PUBLIC TRANSIT SYSTEM IN SOUTH AFRICA." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-2 (June 2, 2016): 143–50. http://dx.doi.org/10.5194/isprs-annals-iii-2-143-2016.

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The study of commuters’ origins and destinations (O_D) promises to assist transportation planners with prediction models to inform decision making. Conventionally O_D surveys are undertaken through travel surveys and traffic counts, however data collection for these surveys has historically proven to be time consuming and having a strain on human resources, thus a need for an alternative data source arises. This study combines the use social media data and geographic information systems in the creation of a model for origin and destination surveys. The model tests the potential of using big da

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Zhou, Xuesong, Xiao Qin, and Hani S. Mahmassani. "Dynamic Origin-Destination Demand Estimation with Multiday Link Traffic Counts for Planning Applications." Transportation Research Record: Journal of the Transportation Research Board 1831, no. 1 (2003): 30–38. http://dx.doi.org/10.3141/1831-04.

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A dynamic origin–destination demand estimation model for planning applications with real-time link counts from multiple days is presented. Based on an iterative bilevel estimation framework, the upper-level problem is to minimize both the deviation between estimated link flows and real-time link counts and the deviation between estimated time-dependent demand and given historical static demand. These two types of deviations are combined into a weighted objective function, where the weighting value is determined by an interactive approach to obtain the best compromise solution. The single-day f

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Mohammadi, Roozbeh, Amir Golroo, and Mahdieh Hasani. "Effect of Traffic Information on Travel Time of Medium-distance Trips: A Case Study in Tehran." PROMET - Traffic&Transportation 30, no. 3 (2018): 281–91. http://dx.doi.org/10.7307/ptt.v30i3.2738.

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In populated cities with high traffic congestion, traffic information may play a key role in choosing the fastest route between origins and destinations, thus saving travel time. Several research studies investigated the effect of traffic information on travel time. However, little attention has been given to the effect of traffic information on travel time according to trip distance. This paper aims to investigate the relation between real-time traffic information dissemination and travel time reduction for medium-distance trips. To examine this relation, a methodology is applied to compare t

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Alkawaaz, Namir G. Ahmed. "An Origin-Destination Matrix Estimate for Baghdad City Based on GIS." Journal of Maritime & Transportation Science 55, no. 1 (2018): 33–44. http://dx.doi.org/10.18048/2018.00.02.

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Baghdad suffers a deficiency in the application of urban transportation planning process, especially in selecting the suitable transport policies to solve transportation problems. One of the important inputs to the transportation planning process is the Origin – Destination Matrix. The O-D matrix is the travel demand between the pair of origin and destination zones and is one of the necessary goals of transportation studies. Estimation of an O-D matrix using the conventional process requires the collection of a huge amount of data. In Baghdad city, there has been no O-D matrix formulated. Acco

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Kim, Eunhye, Hani S. Mahmassani, Haleh Ale-Ahmad, and Marija Ostojic. "Day-to-Day Learning Framework for Online Origin–Destination Demand Estimation and Network State Prediction." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 11 (2019): 195–208. http://dx.doi.org/10.1177/0361198119852075.

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Origin–destination (O–D) demand is a critical component in both online and offline dynamic traffic assignment (DTA) systems. Recent advances in real-time DTA applications in large networks call for robust and efficient methodologies for online O–D demand estimation and prediction. This study presents a day-to-day learning framework for a priori O–D demand, along with a predictive data-driven O–D correction approach for online consistency between predicted and observed (sensor) values. When deviations between simulation and real world are observed, a consistency-checking module initiates O–D de

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Mitsakis, Evangelos, Evangelia Chrysohoou, Josep Maria Salanova Grau, Panagiotis Iordanopoulos, and Georgia Aifadopoulou. "THE SENSOR LOCATION PROBLEM: METHODOLOGICAL APPROACH AND APPLICATION." Transport 32, no. 2 (2017): 113–19. http://dx.doi.org/10.3846/16484142.2016.1258674.

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The sensor location problem is of particular importance when planning the allocation of limited field equipment intended to be used for advanced traffic management systems and traveller information services. The locations within a network that satisfy specific goals need to be carefully selected, based on predefined goals related to the effective collection of data and the subsequent estimation of traffic related information. The detection of traffic volumes is mainly associated with two purposes, the travel time and the Origin–Destination (O–D) trip matrix estimation. In this context, this pa

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Burris, Mark, and Chris Swenson. "Planning Lee County’s Variable-Pricing Program." Transportation Research Record: Journal of the Transportation Research Board 1617, no. 1 (1998): 64–68. http://dx.doi.org/10.3141/1617-09.

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Congestion (or variable) pricing can be described as the charging of more for goods or services during periods of peak demand. In theory, this practice would prove beneficial as a travel demand management tool when setting fares on toll roads and bridges. However, in practice, it has proven extremely difficult to implement in the United States. Many of the planning issues and solutions found during the early phases of a variablepricing pilot study currently being conducted in Lee County, Florida, are examined. Also examined is the electronic toll collection system being implemented in conjunct

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Malema, H. K., and W. Musakwa. "TWEETS AND FACEBOOK POSTS, THE NOVELTY TECHNIQUES IN THE CREATION OF ORIGIN-DESTINATION MODELS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B2 (June 8, 2016): 555–62. http://dx.doi.org/10.5194/isprsarchives-xli-b2-555-2016.

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Social media and big data have emerged to be a useful source of information that can be used for planning purposes, particularly transportation planning and trip-distribution studies. Cities in developing countries such as South Africa often struggle with out-dated, unreliable and cumbersome techniques such as traffic counts and household surveys to conduct origin and destination studies. The emergence of ubiquitous crowd sourced data, big data, social media and geolocation based services has shown huge potential in providing useful information for origin and destination studies. Perhaps such

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Malema, H. K., and W. Musakwa. "TWEETS AND FACEBOOK POSTS, THE NOVELTY TECHNIQUES IN THE CREATION OF ORIGIN-DESTINATION MODELS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B2 (June 8, 2016): 555–62. http://dx.doi.org/10.5194/isprs-archives-xli-b2-555-2016.

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Social media and big data have emerged to be a useful source of information that can be used for planning purposes, particularly transportation planning and trip-distribution studies. Cities in developing countries such as South Africa often struggle with out-dated, unreliable and cumbersome techniques such as traffic counts and household surveys to conduct origin and destination studies. The emergence of ubiquitous crowd sourced data, big data, social media and geolocation based services has shown huge potential in providing useful information for origin and destination studies. Perhaps such

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Ratnayake, L. L. "Intercity auto trip estimation for Sri Lanka using entropy maximization." Canadian Journal of Civil Engineering 16, no. 2 (1989): 200–201. http://dx.doi.org/10.1139/l89-036.

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Recently, techniques such as calibration of demand models and entropy maximization have been used to estimate origin–destination (O–D) matrices. To the author's knowledge, there has been no reported work on an O–D estimation for a nationwide network. This paper describes a methodology to estimate intercity auto traffic for Sri Lanka using entropy maximization. Some of these results are then compared with the values obtained from a known demand model and the actual data. Key words: O–D matrices, entropy maximization, Sri Lanka, link volume, intercity.

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Owolabi, A. O. "Trip patterns in Akure, Nigeria: A land-use analytical approach." Journal of Transportation Management 21, no. 3 (2010): 63–71. http://dx.doi.org/10.22237/jotm/1285891560.

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For transportation planners, the use of Origin-Destination (OD) matrix adjustment, is receiving considerable attention. However, there are concerns about the validity of results, primarily related to the number and location of traffic count posts. This leads to the question “What would be the best set of traffic count posts to use in OD matrix adjustment modules?” It has been proved that solving this problem is cumbersome. There have been several attempts (either exact or heuristic approaches) to address this problem. But due to the inherent complexities, there is no efficient and easy-to-use

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Ferreira, Hugo, Carlos Manuel Rodrigues, and Carlos Pinho. "Impact of Road Geometry on Vehicle Energy Consumption and CO2 Emissions: An Energy-Efficiency Rating Methodology." Energies 13, no. 1 (2019): 119. http://dx.doi.org/10.3390/en13010119.

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This study presents a methodology for classifying road traffic energy efficiency. The indicators defined discriminate the impact of the road vertical and horizontal alignments upon energy consumption, disclosing the improvement potential of the road as a function of the traffic origin–destination matrix. The methodologic approach is based on basic physical principals, thus guarantying its generality, as opposed to the usual empirical mesoscale approaches. A simplified algebraic procedure is also proposed, resorting to simplified driving cycles and a constant speed assumption (CSA), thus avoidi

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Smadi, Ayman, and T. H. Maze. "Statewide Truck Transportation Planning: Methodology and Case Study." Transportation Research Record: Journal of the Transportation Research Board 1522, no. 1 (1996): 55–63. http://dx.doi.org/10.1177/0361198196152200107.

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An alternate approach for truck transportation planning at the state level is presented using a case study application in the State of Iowa. The method was based on some freight modeling concepts and available freight data sets. However, the model takes advantage of two concepts: unconstrained highway capacities and the decomposition of commodities, resulting in manageable data and modeling requirements. Identification of significant economic sectors, selection of appropriate productivity measures, estimation of truck freight volumes for each sector individually, and estimation of routing of t

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Coloma, Juan Francisco, Marta Garcia, and Raúl Guzmán. "Effects of Bypass in Small and Non-congested Cities: A Case Study of the City Badajoz." PROMET - Traffic&Transportation 30, no. 4 (2018): 479–89. http://dx.doi.org/10.7307/ptt.v30i4.2748.

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Small cities with less than 200,000 inhabitants do not usually suffer from chronic congestion problems. However, private vehicles are used excessively, making it necessary to implement measures to encourage further use of public transport and pedestrian mobility to make it more sustainable. Bypasses improve level of service (LOS) by removing cars from the city center, leading to significant reductions in overall travel time. Most studies so far have been conducted in large cities suffering chronic congestion problems, so the aim of this research is to analyze the effects of bypasses in small a

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Barry, James J., Robert Newhouser, Adam Rahbee, and Shermeen Sayeda. "Origin and Destination Estimation in New York City with Automated Fare System Data." Transportation Research Record: Journal of the Transportation Research Board 1817, no. 1 (2002): 183–87. http://dx.doi.org/10.3141/1817-24.

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New York City Transit’s automated fare collection system, known as MetroCard, is an entry-only system that records the serial number of the MetroCard and the time and location (subway turnstile or bus number) of each use. A methodology that estimates station-to-station origin and destination (O-D) trip tables by using this MetroCard information is described. The key is to determine the sequence of trips made throughout a day on each MetroCard. This is accomplished by sorting the MetroCard information by serial number and time and then extracting, for each MetroCard, the sequence of the trips a

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Balakrishna, Ramachandran, and Haris N. Koutsopoulos. "Incorporating within-Day Transitions in Simultaneous Offline Estimation of Dynamic Origin-Destination Flows without Assignment Matrices." Transportation Research Record: Journal of the Transportation Research Board 2085, no. 1 (2008): 31–38. http://dx.doi.org/10.3141/2085-04.

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An offline methodology is presented: it simultaneously estimates dynamic origin-destination (O-D) matrices, without using assignment matrices that incorporate within-day transition equations. The proposed formulation and solution approach extends a calibration method recently developed that directly uses the output of any network loading model (such as a dynamic traffic assignment or simulation model) so that the complex relationships between O-D flows and model outputs are accurately captured (as opposed to the more common method of approximate linear relationships based on the assignment mat

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Hu, Guojing, Weike Lu, Feng Wang, and Robert W. Whalin. "Macroscopic Fundamental Diagram Based Discrete Transportation Network Design." Journal of Advanced Transportation 2020 (January 20, 2020): 1–13. http://dx.doi.org/10.1155/2020/4951953.

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The presence of demand uncertainty brings challenges to network design problems (NDP), because fluctuations in origin-destination (OD) demand have a prominent effect on the corresponding total travel time, which is usually adopted as an index to evaluate the network design problem. Fortunately, the macroscopic fundamental diagram (MFD) has been proved to be a property of the road network itself, independent of the origin-destination demand. Such characteristics of an MFD provide a new theoretical basis to assess the traffic network performance and further appraise the quality of network design

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Mohan, Dinesh, Geetam Tiwari, Rahul Goel, and Paranjyoti Lahkar. "Evaluation of Odd–Even Day Traffic Restriction Experiments in Delhi, India." Transportation Research Record: Journal of the Transportation Research Board 2627, no. 1 (2017): 9–16. http://dx.doi.org/10.3141/2627-02.

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During periods from January 1 to January 15 and April 15 to April 30, 2016, the Government of the National Capital Territory of Delhi, India, implemented an odd–even vehicle rule. Under this rule, between 08:00 and 20:00, only cars with even-numbered plates were allowed to operate on even-numbered dates of the calendar and only cars with odd-numbered plates on odd-numbered dates. In light of the varying experiences of vehicle restriction practices from around the world, this study evaluated the effects of both phases of the odd–even policy on transport patterns and vehicle use in Delhi. Observ

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Owais, Mahmoud, Abdou S. Ahmed, Ghada S. Moussa, and Ahmed A. Khalil. "An Optimal Metro Design for Transit Networks in Existing Square Cities Based on Non-Demand Criterion." Sustainability 12, no. 22 (2020): 9566. http://dx.doi.org/10.3390/su12229566.

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The overall purpose of this study is to enhance existing transit systems by planning a new underground metro network. The design of a new metro network in the existing cities is a complex problem. Therefore, in this research, the study idea arises from the prerequisites to get out of conventional metro network design to develop a future scheme for forecasting an optimal metro network for these existing cities. Two models are proposed to design metro transit networks based on an optimal cost–benefit ratio. Model 1 presents a grid metro network, and Model 2 presents the ring-radial metro network

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Zietlow, Benjamin R. E., Ernest B. Perry, Teresa M. Adams, Thirunavukkarasu Sivappha, and Soren Walljasper. "Modal Diversion Estimates." Transportation Research Record: Journal of the Transportation Research Board 2610, no. 1 (2017): 54–66. http://dx.doi.org/10.3141/2610-07.

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This research outlined and demonstrated an approach and methodology for assessing domestic truck traffic suitable for diversion to intermodal truck to rail shipping. The research was spurred by the following factors: transportation-related findings from the Wisconsin Economic Development Corporation's Wisconsin Economic Future Study: Statewide and Regional Analysis; a general interest in intermodal diversion from federal, state, and local transportation agencies (to alleviate roadway congestion, reduce road deterioration, and reduce transportation emissions and pollutants); and seemingly const

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Welsh, Ruth Helen, Andrew Morris, and Satu Innamaa. "Methodological Aspects of Field Operational Tests of After-Market and Nomadic Driver Support Systems and Impacts on Mobility." Open Transportation Journal 11, no. 1 (2017): 90–101. http://dx.doi.org/10.2174/1874447801711010090.

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Background: This paper reports on the methodology undertaken and some results achieved within a study of drivers using aftermarket and nomadic devices (the TeleFOT project). Objective: To evaluate the methodology for conducting Field Operational Tests for Information and Communication Technology whilst also providing an example of the method applied in the context of mobility within the TeleFOT project. Methods: A ‘Top down, bottom up’ approach to the derivation of research questions and hypotheses is described. Statistical analysis has been undertaken on data collected through Field Operation

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McHugh, Bibiana Kamler, Baofeng Dong, Joseph D. Recker, and Virginia Shank. "Conducting Onboard Transit Rider Surveys with Electronic Handheld Tablets." Transportation Research Record: Journal of the Transportation Research Board 2643, no. 1 (2017): 19–27. http://dx.doi.org/10.3141/2643-03.

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Transit agencies rely on onboard rider surveys to produce data in support of planning initiatives, as well as Title VI and FTA reports. The findings and statistical analysis provide valuable information about riders; travel patterns; and the effects of new rail alignments, services, and fare changes. Historically, onboard surveys have been conducted with paper methods. However, as technology has become increasingly accessible, transit agencies have started turning to electronic methods for gathering information. This approach has many advantages, but significant changes to methodology and appr

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Oh, Cheol, and Stephen G. Ritchie. "Anonymous Vehicle Tracking for Real-Time Traffic Surveillance and Performance on Signalized Arterials." Transportation Research Record: Journal of the Transportation Research Board 1826, no. 1 (2003): 37–44. http://dx.doi.org/10.3141/1826-06.

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One of the fundamental requirements for facilitating implementation of any advanced transportation management and information system (ATMIS) is the development of a real-time traffic surveillance system able to produce reliable and accurate traffic performance measures. This study presents a new framework for anonymous vehicle tracking capable of tracing individual vehicles by the vehicle features. The core part of the proposed vehicle tracking method is a vehicle reidentification algorithm for signalized intersections based on inductive vehicle signatures. The new vehicle reidentification sys

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Rouhieh, Behzad, and Ciprian Alecsandru. "Optimizing route choice in multimodal transportation networks." Canadian Journal of Civil Engineering 41, no. 9 (2014): 800–810. http://dx.doi.org/10.1139/cjce-2013-0331.

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Advanced traveler information systems provide travelers with pre-trip and en route travel information necessary to improve the trip decision making process based on various criteria (e.g., avoiding the negative impacts of traffic congestion, selecting specific travel modes, etc.). This study investigates an adaptive routing methodology for multimodal transportation networks. To integrate transit networks, the model takes into account both the predefined timetables of public transportation services and the variability of travel times. A graph theory based methodology is proposed to capture trav

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Appolloni, Corazza, and D’Alessandro. "The Pleasure of Walking: An Innovative Methodology to Assess Appropriate Walkable Performance in Urban Areas to Support Transport Planning." Sustainability 11, no. 12 (2019): 3467. http://dx.doi.org/10.3390/su11123467.

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The Walking Suitability Index of the Territory–T-WSI is an innovative methodology to assess walkability. Unlike other methods and tools in this field designed to evaluate walkability on given origin-destination paths, T-WSI is conceived for area-wide assessments, typically at the neighborhood level. This can be achieved by visual surveys to collect data, which are easy to perform at street level, their further process via an algorithm, and their aggregation to assess the walking performance levels of the test area. The paper describes such methodology, which includes the development of 12 indi

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Ma, Jihui, Yang Yang, Wei Guan, et al. "Large-Scale Demand Driven Design of a Customized Bus Network: A Methodological Framework and Beijing Case Study." Journal of Advanced Transportation 2017 (2017): 1–14. http://dx.doi.org/10.1155/2017/3865701.

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In recent years, an innovative public transportation (PT) mode known as the customized bus (CB) has been proposed and implemented in many cities in China to efficiently and effectively shift private car users to PT to alleviate traffic congestion and traffic-related environmental pollution. The route network design activity plays an important role in the CB operation planning process because it serves as the basis for other operation planning activities, for example, timetable development, vehicle scheduling, and crew scheduling. In this paper, according to the demand characteristics and opera

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Vergara, K. A., J. Sanchez, and E. L. Bautista. "SITE SELECTION FOR NEW POINT TO POINT (P2P) BUS ENDPOINTS AND ROUTES IN METRO MANILA, PHILIPPINES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W16 (October 1, 2019): 659–66. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w16-659-2019.

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Abstract. The Point to Point Bus system (P2P) is a relatively new transportation alternative available in selected areas in Metro Manila and other provinces nearby. New routes are continuously added to cater to the ever-increasing demand of the commuting public to avoid wasting time in heavy traffic and to provide alternatives to the inconvenient metro trains. This paper presents a methodology for the identification of potential sites of additional routes for P2P Premium Bus Service in Metro Manila. Trip generation, trip attraction, and friction factor were determined to show trip distribution

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Breyer, Nils, Clas Rydergren, and David Gundlegård. "Comparative Analysis of Travel Patterns from Cellular Network Data and an Urban Travel Demand Model." Journal of Advanced Transportation 2020 (February 13, 2020): 1–17. http://dx.doi.org/10.1155/2020/3267474.

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Data on travel patterns and travel demand are an important input to today’s traffic models used for traffic planning. Traditionally, travel demand is modelled using census data, travel surveys, and traffic counts. Problems arise from the fact that the sample sizes are rather limited and that they are expensive to collect and update the data. Cellular network data are a promising large-scale data source to obtain a better understanding of human mobility. To infer travel demand, we propose a method that starts by extracting trips from cellular network data. To find out which types of trips can b

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Tchepel, Oxana, Daniela Dias, Joana Ferreira, Richard Tavares, Ana Isabel Miranda, and Carlos Borrego. "EMISSION MODELLING OF HAZARDOUS AIR POLLUTANTS FROM ROAD TRANSPORT AT URBAN SCALE." TRANSPORT 27, no. 3 (2012): 299–306. http://dx.doi.org/10.3846/16484142.2012.720277.

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This study is focused on the development of a modelling approach to quantify emissions of traffic-related hazardous air pollutants in urban areas considering complex road network and detailed data on transport activity. In this work a new version of the Transport Emission Model for line sources has been developed for hazardous pollutants (TREM-HAP). Emission factors for benzene, 1,3-butadiene, formaldehyde, acetaldehyde, acrolein, naphthalene and also particulate matter (PM2.5) were implemented and the model was extended to integrate a probabilistic approach for the uncertainty quantification

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Konstantinidou, Maria A., Konstantinos L. Kepaptsoglou, and Antony Stathopoulos. "A Multi-objective Network Design Model for Post-disaster Transportation Network Management." PROMET - Traffic&Transportation 31, no. 1 (2019): 11–23. http://dx.doi.org/10.7307/ptt.v31i1.2743.

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Despite their inherent vulnerability to structural and functional degradation, transportation networks play a vital role in the aftermath of disasters by ensuring physical access to the affected communities and providing services according to the generated needs. In this setting of operational conditions and service needs which deviate from normal, a restructuring of network functions is deemed to be beneficial for overall network serviceability. In such context, this paper explores the planning of post-disaster operations on a network following a hazardous event on one of the network’s nodes.

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de Regt, Karin, Oded Cats, Niels Van Oort, and Hans van Lint. "Investigating Potential Transit Ridership by Fusing Smartcard and Global System for Mobile Communications Data." Transportation Research Record: Journal of the Transportation Research Board 2652, no. 1 (2017): 50–58. http://dx.doi.org/10.3141/2652-06.

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The public transport industry faces challenges in catering to the variety of mobility patterns and corresponding needs and preferences of passengers. Travel habit surveys provide information on overall travel demand as well as its spatial variation. However, that information often does not include information on temporal variations. By applying data fusion to smartcard and Global System for Mobile Communications (GSM) data, researchers were able to examine spatial and temporal patterns of public transport usage versus overall travel demand. The analysis was performed by contrasting different s

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Sun, Bo, Ming Wei, and Wei Wu. "An Optimization Model for Demand-Responsive Feeder Transit Services Based on Ride-Sharing Car." Information 10, no. 12 (2019): 370. http://dx.doi.org/10.3390/info10120370.

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Ride-sharing (RS) plays an important role in saving energy and alleviating traffic pressure. The vehicles in the demand-responsive feeder transit services (DRT) are generally not ride-sharing cars. Therefore, we proposed an optimal DRT model based on the ride-sharing car, which aimed at assigning a set of vehicles, starting at origin locations and ending at destination locations with their service time windows, to transport passengers of all demand points to the transportation hub (i.e., railway, metro, airport, etc.). The proposed model offered an integrated operation of pedestrian guidance (

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Wong, C. K., and Yi Liu. "Lane-Based Optimization for Macroscopic Network Configuration Designs." Discrete Dynamics in Nature and Society 2017 (2017): 1–18. http://dx.doi.org/10.1155/2017/1257569.

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Lane markings (arrows) at individual intersections serve as interfaces to connect upstream and downstream intersections in signal-controlled networks. Demand flows from origins to destinations may need to pass through a series of intersections. If lane markings are not well established to ban turns at intersections, then paths connecting origin and destination (OD) pairs could be inefficient. Due to indirect connections, road users need to take longer paths to reach their destinations. Conventionally, network configurations are fixed inputs for network analysis. In the present study, concepts

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Yu, Chao, Haiying Li, Xinyue Xu, et al. "Data-Driven Approach for Passenger Mobility Pattern Recognition Using Spatiotemporal Embedding." Journal of Advanced Transportation 2021 (May 19, 2021): 1–21. http://dx.doi.org/10.1155/2021/5574093.

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Urban mobility pattern recognition has great potential in revealing human travel mechanism, discovering passenger travel purpose, and predicting and managing traffic demand. This paper aims to propose a data-driven method to identify metro passenger mobility patterns based on Automatic Fare Collection (AFC) data and geo-based data. First, Point of Information (POI) data within 500 meters of the metro stations are captured to characterize the spatial attributes of the stations. Especially, a fusion method of multisource geo-based data is proposed to convert raw POI data into weighted POI data c

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Ilie, Sorin, and Gabriela Mitran. "Study of Maritime - Road Intermodality in Constanta Port by Evaluating Trips Generation/Attraction Potentials." Advanced Materials Research 1036 (October 2014): 957–62. http://dx.doi.org/10.4028/www.scientific.net/amr.1036.957.

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The changes increasingly accentuated in recent years in the global economy, in the context of globalization, have created an environment in which transport sector must adapt continuously. This adaptation process acts especially at intercontinental level, involving that transport and distribution of goods and raw materials on long distances to be as efficient in terms of duration and costs of transport and, at the same time, with reduced negative implications on the environment. The achievement of transport processes, in equilibrium conditions between demand and supply, in relation to limitatio

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Fulzele, Vijayta, Ravi Shankar, and Divya Choudhary. "A model for the selection of transportation modes in the context of sustainable freight transportation." Industrial Management & Data Systems 119, no. 8 (2019): 1764–84. http://dx.doi.org/10.1108/imds-03-2019-0169.

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Purpose A sustainable freight transportation system involves freight processes that are economically efficient, socially inclusive and environment friendly. For enhancing sustainability in the freight operations, mode selection is a crucial strategic decision. Therefore, the purpose of this paper is selecting the best mode, or a combination of modes based on various criteria to carry shipments from origin to destination. Design/methodology/approach This study has used an integrated grey relational analysis based intuitionistic fuzzy multi-criteria decision-making process (GRA–IFP) and fuzzy mu

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