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Road Network Design in a Developing Country Using Mobile Phone Data: An Application to Senegal

Yihong Wang, Goncalo Correia, Erik de Romph, Bruno F. Santos
2018 IEEE Intelligent Transportation Systems Magazine  
Gravity Model Estimation and Validation First, we used the data before August 1 st , 2013 (i.e., training data) to estimate a traditional gravity model.  ...  as to why we expect that using the adapted gravity model can have advantages over using the traditional one.  ...  In 2013 he accepted a chair as professor in transport modelling in Delft.  ... 
doi:10.1109/mits.2018.2879168 fatcat:77civyn4pzdetoa5htkqhremgm

Investing for Reliability and Security in Transportation Networks

Lei Zhang, David Levinson
2008 Transportation Research Record  
of an investment policy over a period of time.  ...  A travel demand model predicts link-level flows on the basis of the road network, land use patterns, and socioeconomic and demographic information.  ...  Estimation of Model Parameters The exact values of the parameters in the network dynamics model depend on the road network in question.  ... 
doi:10.3141/2041-01 fatcat:w6orcfmipjanxiyczwsnas4yvq

A METHODOLOGY FOR MODELLING TRAFFIC RELATED EMISSIONS IN SUBURBAN AREAS

Cristian Toşa, Dago Antov, Gavril Köllő, Harri Rõuk, Marek Rannala
2013 Transport  
a suburban area, as a support for future transport planning strategies to be applied for any developing road network.  ...  A methodology that integrates a computer program COPERT III for calculation of traffic emissions estimates, and a transportation modelling software CUBE VOYAGER was used to assess pollutant emissions for  ...  The gravity model estimates trips for each cell in the matrix, without using the observed trip pattern (Ortúzar, Willumsen 2011) .  ... 
doi:10.3846/16484142.2013.819034 fatcat:wsjfkhyyq5agjgcvkr3xx2adie

An effective Time-Aware Map Matching process for low sampling GPS data [article]

Paolo Cintia, Mirco Nanni
2016 arXiv   pre-print
The process of associating a segment of the underlying road network to a GPS point gives us the chance to enrich raw data with the semantic layer provided by the roadmap, with all contextual information  ...  Moreover, our algorithm is parameter-free and does not depend on specific characteristics of the GPS localization error and of the road network (e.g. density of roads, road network topology, etc.).  ...  In other words, Timecost is already an estimation and it also changes depending on the characteristics of the road network: to use it for an heuristic function for A* we should be able to estimate, in  ... 
arXiv:1603.07376v1 fatcat:l7bmo7hchre2xp32pqisacoayi

Cost-effective ubiquitous method for motor vehicle speed estimation using smartphones

Shahrzad Moeiniyan Bagheri, Behrang Assemi, Mahmoud Mesbah, Mark Hickman
2018 IET Wireless Sensor Systems  
Estimating longitudinal vehicle speed is required in a wide range of applications from road safety to vehicular emissions modelling.  ...  Thus, the goals of this study are (a) to investigate the use of smartphones' integrated sensors as a convenient, reliable and powerful means of vehicle speed data collection which would mitigate the issues  ...  DE130100205 and the Queensland Department of Transport and Main Roads (TMR), under the TAP agreement with the University of Queensland Centre for Transport Strategy.  ... 
doi:10.1049/iet-wss.2018.5023 fatcat:bbylqiroebcgpb7bgxgcg6cgou

Road Pricing with Autonomous Links

Lei Zhang, David Levinson
2005 Transportation Research Record  
This research seeks to examine road pricing on a network of autonomous highway links.  ...  An agent-based modeling system is then developed; it integrates an equilibrated travel demand, route choice, and travel time model with a repeated game of autonomous links setting prices to maximize profit  ...  This information is used to develop several measures of effectiveness (MOE) for the evaluation of network performance over time.  ... 
doi:10.1177/0361198105193200117 fatcat:wwgxjv4xbnb7tdbbmdrhpzyu5m

Road Pricing with Autonomous Links

Lei Zhang, David Levinson
2005 Transportation Research Record  
This research seeks to examine road pricing on a network of autonomous highway links.  ...  An agent-based modeling system is then developed; it integrates an equilibrated travel demand, route choice, and travel time model with a repeated game of autonomous links setting prices to maximize profit  ...  This information is used to develop several measures of effectiveness (MOE) for the evaluation of network performance over time.  ... 
doi:10.3141/1932-17 fatcat:pusrinwhwzgknl2k26xlb5kef4

Advanced Traffic Management Systems: An Overview and A Development Strategy [article]

M. Shahgholian, D. Gharavian
2018 arXiv   pre-print
This paper initially presents an overview of these four sections, in the end, it proposes a development strategy for the ATMSs.  ...  In this approach, through software applications or information boards, network managers are informed about the users' status in the network and offer the best route to them.  ...  models leading to non-linear equations on the links Some of the researchers used the Gravity model and some used Gravity-Opportunity (GO) based model for ODM estimation.  ... 
arXiv:1810.02530v1 fatcat:jtqcjefhznfrvc6trreiwk3y6u

Lewis–Mogridge Points: A Nonarbitrary Method to Include Induced Traffic in Cost-Benefit Analyses

Rafał Kucharski, Arkadiusz Drabicki, Jan Paszkowski, Andrzej Szarata
2020 Journal of Advanced Transportation  
We propose a new method to estimate benefits of road network improvements, which allows to include the induced demand without arbitrary assumptions.  ...  We first estimate benefits of road network improvement assuming that traffic demand is fixed.  ...  Acknowledgments is paper was developed within R&D project RID2A "trip modelling and forecasting using different modes of transport" financed by the National Centre for Research and Development and National  ... 
doi:10.1155/2020/3096260 fatcat:zslyst2mf5cixjh4prrmxd3egm

Application of Artificial Neural Networks to Streamline the Process of Adaptive Cruise Control

Jiří David, Pavel Brom, František Starý, Josef Bradáč, Vojtěch Dynybyl
2021 Sustainability  
This article deals with the use of neural networks for estimation of deceleration model parameters for the adaptive cruise control unit.  ...  The article describes the basic functionality of adaptive cruise control and creates a mathematical model of braking, which is one of the basic functions of adaptive cruise control.  ...  Functions v(t) and a(t) may be convex, concave, or linear. Let us suppose that braking was initiated at the time t = 0 and the distance d(0) = d 0 while the speed of a car was v(0) = v 0 .  ... 
doi:10.3390/su13084572 fatcat:rig6ebzglbebdeozm3kddhugte

Measuring potential spatial access to primary health care physicians using a modified gravity model

NADINE SCHUURMAN, MYRIAM BÉRUBÉ, VALORIE A. CROOKS
2010 The Canadian Geographer / Le Géographe canadien  
We consider the relative merits of kernel density estimation and a gravity model.  ...  Ultimately, a modified version of the gravity model is developed for this article and used to L'évaluation du potentiel d'accessibilité spatiale aux services de santé primairesà l'aide d'un modèle gravitationnel  ...  This method distributes point densities over a road network instead of over 2-D space.  ... 
doi:10.1111/j.1541-0064.2009.00301.x fatcat:mf2nou5worauxnzzjzfwvtu7ge

A Model of the Rise and Fall of Roads

Lei Zhang, David M Levinson
2016 Journal of Transport and Land Use  
Transportation network planning decisions made at one point of time can have profound impacts in the future. However, transportation networks are usually assumed to be static in models of land use.  ...  Spatial distribution of capacity, traffic flow, and congestion in the transportation network is tracked over time.  ...  Practically, over a long period of time, no road can carry flows more than its capacity.  ... 
doi:10.5198/jtlu.2016.887 fatcat:ir5julxipjblxceey3dbqsn5yq

A Mobility Performance Assessment on Plug-in EV Battery

Seyed Mohammad Rezvanizanian, Yixiang Huang, Jiang Chuan, Jay Lee
2020 International Journal of Prognostics and Health Management  
The ARNN model at first estimates the speed profile of the new road based on slope and then both slope and speed is going to be used as the input to estimate battery current and SoC.  ...  In this paper, the performance of Adaptive Recurrent Neural Network (ARNN) and regression is evaluated using two benchmark data sets.  ...  Battery current standard deviation over time SOC Estimation The estimation of the SoC of a battery may be a problem of more or less complexity depending on the battery type and on the application in  ... 
doi:10.36001/ijphm.2012.v3i2.1363 fatcat:7lk6xrpvsra4fd55i6noee5yoa

Formation of the transport model of urban agglomeration

Alexei Levashov, P. Vitaliy Vladimirovich
2018 MATEC Web of Conferences  
The author proposes a methodology for estimating the distribution of movements between cities within the agglomeration at the time.  ...  An approach to the formation of a transport model of urban agglomeration based on the combination of several models of transport demand is considered in the article.  ...  Fig. 2 . 2 Formation of the function of gravity (the dependence of the probability of movements on time): a) -the choice of the gravity function for each element of the transport system; b) -the formation  ... 
doi:10.1051/matecconf/201821205001 fatcat:zqrocntwd5ah3atsqq3qbx5odu

Congestion Prediction Modeling for Quality of Service Improvement in Wireless Sensor Networks

Ga-Won Lee, Sung-Young Lee, Eui-Nam Huh
2014 Sensors  
We propose a node and path traffic prediction model to predict and minimize the congestion.  ...  Information observed from sensor networks in real-time is used to increase quality of life (QoL) in various industries and daily life.  ...  Bureau of Public Roads (BPR) Function Travel time functions are used to solve traffic problems when planning urban transportation or calculating increases in traffic over time.  ... 
doi:10.3390/s140507857 pmid:24784035 pmcid:PMC4063004 fatcat:evespiv7p5bc3dz5cvbampsja4
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