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Wyświetlanie 1-10 z 83
Tytuł:
Travel Time Forecasting Based on Fuzzy Patterns
Autorzy:
Kiersztyn, Adam
Gandzel, Agnieszka Gandzel
Koczan, Leopold
Celiński, Maciej
Powiązania:
https://bibliotekanauki.pl/articles/2023310.pdf
Data publikacji:
2021
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
fuzzy clustering
travel time forecasting
fuzzy patterns
transportation data
Opis:
Estimating travel time is one of the most important processes in logistics as well as in everyday life. In particular, when it comes to transportation services, efficient time management can be a competitive advantage, not to mention customer satisfaction, which can be easily translated into business success. Therefore, in this study we analyze various travel time estimation methods in combination with a well-known Fuzzy C-Means clustering algorithm. The proposed FCM-based solution has significant advantages, allowing for the determination of the optimal travel time. In an extensive numerical experiment, we present the application of the proposed method to estimate the time of a taxi trip around New York. Due to division of the city area into detailed areas and taking into account information about the travel time in the analysis, a model was obtained, that perfectly forecasts speed of taxi travel. In this study we consider various, competitive approaches to build such a model.
Źródło:
Advances in Science and Technology. Research Journal; 2021, 15, 3; 224-232
2299-8624
Pojawia się w:
Advances in Science and Technology. Research Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Image fusion for travel time tomography inversion
Autorzy:
Yin, X.
Liu, L.
Zhao, X.
Ashraf, M. A.
Powiązania:
https://bibliotekanauki.pl/articles/259784.pdf
Data publikacji:
2015
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
tomography
inversion algorithm
wavelet transform
image fusion
Opis:
The travel time tomography technology had achieved wide application, the hinge of tomography was inversion algorithm, the ray path tracing technology had a great impact on the inversion results. In order to improve the SNR of inversion image, comprehensive utilization of inversion results with different ray tracing can be used. We presented an imaging fusion method based on improved Wilkinson iteration method. Firstly, the shortest path method and the linear travel time interpolation were used for forward calculation; then combined the improved Wilkinson iteration method with super relaxation precondition method to reduce the condition number of matrix and accelerate iterative speed, the precise integration method was used to solve the inverse matrix more precisely in tomography inversion process; finally, use wavelet transform for image fusion, obtain the final image. Therefore, the ill- conditioned linear equations were changed into iterative normal system through two times of treatment and using images with different forward algorithms for image fusion, it reduced the influence effect of measurement error on imaging. Simulation results showed that, this method can eliminate the artifacts in images effectively, it had extensive practical significance.
Źródło:
Polish Maritime Research; 2015, S 1; 149-156
1233-2585
Pojawia się w:
Polish Maritime Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Forecasting travel time reliability in urban road transport
Autorzy:
Juhasz, M.
Matrai, T.
Koren, C.
Powiązania:
https://bibliotekanauki.pl/articles/223490.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
travel-time reliability
forecasting
urban road transport
appraisal
congestion
niezawodność czasu podróży
prognozowanie
transport drogowy
transport miejski
ocena
kongestia
Opis:
Assessment of travel time reliability as a fundamental factor in travel behaviour has become a very important aspect in both transport modelling and economic appraisal. Improved reliability could provide a significant economic benefit if it is adequately calculated in cost-benefit analyses for which the theoretical background has already been set. However, methods to forecast travel time reliability as well as travel behaviour models including its effects are rather scarce and there is a need for development in this field. Another important aspect could be the influencing factor of reliability in travel demand management and related policy-making. Therefore, this paper intends to further analyse reliability focusing exclusively on urban road transport based on automatic measurements of journey times and traffic volumes from a dataset of the city of Budapest. The main finding and the novelty of the study is a model which can forecast the standard deviation of travel times based on the volume-capacity ratio and the free-flow travel time. The paper also provides a real-life numerical experiment in which the proposed model has been compared with other, existing ones. It proves that besides existing mean-delay-based models, travel time reliability can be forecasted based on the volume-capacity ratio with an adequate accuracy.
Źródło:
Archives of Transport; 2017, 43, 3; 53-67
0866-9546
2300-8830
Pojawia się w:
Archives of Transport
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Quantum road traffic model for ambulance travel time estimation
Autorzy:
Bernas, M.
Wisniewska, J.
Powiązania:
https://bibliotekanauki.pl/articles/333463.pdf
Data publikacji:
2013
Wydawca:
Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:
ambulance travel time prediction
quantum processing
traffic modelling
przewidywany czas jazdy pogotowia
przetwarzanie informacji kwantowej
modelowanie ruchu drogowego
Opis:
Efficient management of ambulance utilisation is a vital issue for life saving. Knowledge of the amount of time needed for an ambulance to get to the hospital and when it will be available for a new task, can be estimated using modern Intelligent Transport Systems. Their main feature is an ability to simulate the state of traffic not only in long term, but also the real time events like accidents or high congestion, using microscopic models. The paper introduces usage of Quantum Computing paradigm to propose a quantum model of road traffic, which can track the state of traffic and estimate the travel time of vehicles. Model, if run on quantum computer can simulate the traffic in vast areas in real time. Proposed model was verified against the cellular automata model. Finally, application of quantum microscopic traffic models for ambulance vehicles was taken into consideration.
Źródło:
Journal of Medical Informatics & Technologies; 2013, 22; 257-264
1642-6037
Pojawia się w:
Journal of Medical Informatics & Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An Improved Method of Linear Travel-Time Interpolation Ray Tracing Algorithm
Autorzy:
Hao-Quan, W.
Powiązania:
https://bibliotekanauki.pl/articles/1535590.pdf
Data publikacji:
2010-10
Wydawca:
Polska Akademia Nauk. Instytut Fizyki PAN
Tematy:
07.05.Pj
42.30.Wb
43.60.+d
Opis:
The linear travel-time interpolation algorithm is improved by the method of ray tracing based on finite difference scheme of eikonal equation. It can simulate the more complex medium. Using the algorithm to calculate travel-time and paths of tracing rays, it is more rapid and accurate than the other conventional methods. The linear travel-time interpolation ray tracing algorithm has a drawback: rays cannot go round the low velocity area if the launching point, the receiving point and the low velocity area distribute on the same column (row). Aiming at the drawback, an improved algorithm is proposed on the basis of researching reconstruction theories. The given algorithm adopts a cross-scanning strategy to carry out forward processing and uses discrete points as the secondary sources to simplify backward processing. The numerical simulation experiments show that the rays can go round the low velocity areas located in the same column (row) of the launching points and the receiving points. Rays scan over the global region only once.
Źródło:
Acta Physica Polonica A; 2010, 118, 4; 521-526
0587-4246
1898-794X
Pojawia się w:
Acta Physica Polonica A
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Real-time travel time prediction models in routing for car navigation applications
Autorzy:
Gaweł, P.
Dembczyński, K.
Kotłowski, W.
Jaszkiewicz, A.
Powiązania:
https://bibliotekanauki.pl/articles/393980.pdf
Data publikacji:
2013
Wydawca:
Polskie Stowarzyszenie Telematyki Transportu
Tematy:
FCD
travel time
prediction
navigation
routing
czas podróży
prognoza
nawigacja
trasowanie
Opis:
We consider the problem of using real-time floating car data to construct vehicle travel time prediction models meant to be used as input to routing algorithms for finding the fastest (time-shortest) path in the traffic network. More specifically we target the on-line car navigation systems. The travel time estimates for such a system need to be computed efficiently and provided for all short segments (links) of the roads network. We compare several fast real-time methods such as last observation, moving average and exponential smoothing, each combined with a historical traffic pattern model. Through a series of large-scale experiments on real-world data we show that the described approach yields promising results and conclude that specific prediction function form may be less important than a proper control of bias-variance trade-off (achieved by historical and real-time models combination). In addition, we consider two different settings for testing the prediction quality of the models. The first setting concerns measuring the prediction error on short road segments, while the second on longer paths through the traffic network. We show the quality and model parameters vary depending on the assessment method.
Źródło:
Archives of Transport System Telematics; 2013, 6, 4; 4-8
1899-8208
Pojawia się w:
Archives of Transport System Telematics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Phase-difference methods of study travel time fluctuations of the broadband signal
Autorzy:
Kazarova, A. Y.
Lyubavin, L. Y.
Petukhov, Y. V.
Stromkov, A. A.
Powiązania:
https://bibliotekanauki.pl/articles/332209.pdf
Data publikacji:
2000
Wydawca:
Polskie Towarzystwo Akustyczne
Opis:
Phase-difference methods for a measurement of small time intervals by use of pseudorandom signals are suggested and its applications for processing of experimental data. The significant influence of tidal oscillations on travel time at Hawaii - Kamchatka path is shown. The possibility of an evaluation of the form of a flexible antenna without use of special basic sources is demonstrated.
Źródło:
Hydroacoustics; 2000, 3; 201-204
1642-1817
Pojawia się w:
Hydroacoustics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Kongestia a czas trwania podróży : podejście modelowe
Congestion versus travel time : modelling approach
Autorzy:
Kamińska, J.
Chalfen, M.
Powiązania:
https://bibliotekanauki.pl/articles/315685.pdf
Data publikacji:
2017
Wydawca:
Instytut Naukowo-Wydawniczy "SPATIUM"
Tematy:
kongestia ruchu
czas trwania podróży
model ruchu drogowego
badanie symulacyjne
Wrocław
traffic congestion
travel time
traffic model
simulation research
Opis:
W artykule przedstawiono model ruchu w mieście w 4 wariantach natężenia ruchu. Przeprowadzono dwugodzinne symulacje ruchu na sieci ulic miasta Wrocławia przy utrzymywanej w ruchu liczbie pojazdów 5, 10, 20 oraz 30 tysięcy. Analizowano wpływ liczby pojazdów w sieci drogowej na długość czasu postoju na światłach, jazdy z prędkością ograniczoną przez gęstość ruchu oraz jazdy z prędkością swobodną. Wykazano, że wraz ze wzrostem obciążenia sieci drogowej pojazdami w ruchu rośnie czas trwania przejazdu, a maleją średnia długość trasy i średnia prędkość. Zwiększenie liczby pojazdów w symulacji z 5 do 30 tysięcy skutkuje ponad trzykrotnym zwiększeniem średniego czasu, w którym prędkość poruszającego się pojazdu jest ograniczona przez gęstość ruchu. O 40% wzrósł czas oczekiwania na skrzyżowaniach w wariancie maksymalnego natężenia w porównaniu z wariantem minimalnego ruchu, co oznacza, że nie sygnalizacja świetlna jest przyczyną powstających zatorów drogowych, ale gęstość ruchu wyrażona liczbą pojazdów na kilometr drogi.
The article presents 4 traffic modelling variants in the city in. Conducted a two-hour simulation of traffic in the city based of the road network of the city of Wroclaw. The number of vehicles changed from 5 to 30 thousand. It was analyzed the influence of the number of vehicles on the road network on share time stop at traffic lights, driving at a speed limited by the density of traffic and driving at a free flow. It has been shown that with the increase of network load of road vehicles in traffic increases the duration of the journey, and decreases the average route length and average speed. Increasing the number of vehicles in the simulation of 5 to 30,000 results in an increase of over three times the meantime, wherein the speed of moving vehicle traffic density is limited. About 40% increase a waiting time at intersections in S3 variant in comparison with the S0 which means that no traffic lights is generating congestionbut the density of traffic flow.
Źródło:
Autobusy : technika, eksploatacja, systemy transportowe; 2017, 18, 6; 1212-1214, CD
1509-5878
2450-7725
Pojawia się w:
Autobusy : technika, eksploatacja, systemy transportowe
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Measurement of delay using travel time reliability statistics in an urban outer corridor
Autorzy:
Reddy, Kanala Teja Vinay Kumar
Challagulla, Surya Prakash
Powiązania:
https://bibliotekanauki.pl/articles/2173478.pdf
Data publikacji:
2022
Wydawca:
Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
Tematy:
trip time
travel time
delay
city buses
passenger car
czas podróży
opóźnienie
autobusy miejskie
samochody osobowe
Opis:
Unexpected delay on freeways is the prime cause of dissatisfaction in road users. Increasing traffic, adverse environmental conditions, accidents, time, season, location and many more factors influence travel time and cause delay. There is no direct method to estimate delay. It is calculated from trip time estimates. Thus, it is a very big challenge for transportation professionals to develop a model that accurately estimates the trip time for a trip at a particular time, by a specific mode of transport. Subsequently, the reliability of the delay calculated from those trip time estimates is often doubtful. Further, the measurement of delay using the trip time data is another big thing. This paper is a step toward measuring the delay in an accurate way using travel time reliability measures. The study was conducted on the two modes of public transportation (City bus and Auto) in an urban corridor of length 16.3 km, in Hyderabad city, India. In this study, a license plate survey was conducted for data collection, travel time-based statistical analysis was employed for estimation of trip time and by making use of travel time measures, the delay was measured. The approach was validated graphically to portray its accuracy.
Źródło:
Zeszyty Naukowe. Transport / Politechnika Śląska; 2022, 114; 143--154
0209-3324
2450-1549
Pojawia się w:
Zeszyty Naukowe. Transport / Politechnika Śląska
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Dynamic location models of mobile sensors for travel time estimation on a freeway
Autorzy:
Sun, Weiwei
Shen, Liang
Shao, Hu
Liu, Pengjie
Powiązania:
https://bibliotekanauki.pl/articles/1838205.pdf
Data publikacji:
2021
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
traffic mobile sensor
dynamic location model
travel time estimation
simulated annealing algorithm
data fusion
czujnik ruchu
model lokalizacji
szacowanie czasu podrózy
fuzja danych
Opis:
Travel time estimation for freeways has attracted much attention from researchers and traffic management departments. Because of various uncertain factors, travel time on a freeway is stochastic. To obtain travel time estimates for a freeway accurately, this paper proposes two traffic sensor location models that consider minimizing the error of travel time estimation and maximizing the collected traffic flow. First, a dynamic optimal location model of the mobile sensor is proposed under the assumption that there are no traffic sensors on a freeway. Next, a dynamic optimal combinatorial model of adding mobile sensors taking account of fixed sensors on a freeway is presented. It should be pointed out that the technology of data fusion will be adopted to tackle the collected data from multiple sensors in the second optimization model. Then, a simulated annealing algorithm is established to find the solutions of the proposed two optimization models. Numerical examples demonstrate that dynamic optimization of mobile sensor locations for the estimation of travel times on a freeway is more accurate than the conventional location model.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2021, 31, 2; 271--287
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-10 z 83

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