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Wyszukujesz frazę "travel time prediction" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
Community Traffic: a technology for the next generation car navigation
Autorzy:
Dembczyński, K.
Gaweł, P.
Jaszkiewicz, A.
Kotłowski, W.
Kubiak, M.
Susmaga, R.
Wesołek, P.
Wojciechowski, A.
Zielniewicz, P.
Powiązania:
https://bibliotekanauki.pl/articles/205706.pdf
Data publikacji:
2012
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
community traffic
satellite car navigation
reliability analysis
travel time prediction
Opis:
The paper presents the NaviExpert’s Community Traffic technology, an interactive, community–based car navigation system. Using data collected from its users, Community Traffic offers services unattainable to earlier systems. On the one hand, the current traffic data are used to recommend the best routes in the navigation phase, during which many potentially unpredictable traffic-delaying and traffic-jamming events, like unexpected roadworks, road accidents, or diversions, can be taken into account and thereby successfully avoided. On the other hand, a number of istinctive features, like immediate location of various traffic dangers, are offered. Using exclusively real-life data, provided by NaviExpert, the paper presents two illustrative case studies concerned with experimental evaluation of solutions to computational problems related to the community-based services offered by the system.
Źródło:
Control and Cybernetics; 2012, 41, 4; 867-883
0324-8569
Pojawia się w:
Control and Cybernetics
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
    Wyświetlanie 1-2 z 2

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