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Wyświetlanie 1-2 z 2
Tytuł:
Sensor location for travel time estimation based on the user equilibrium principle: Application of linear equations
Autorzy:
Cao, Shuhan
Shao, Hu
Shao, Feng
Powiązania:
https://bibliotekanauki.pl/articles/2055143.pdf
Data publikacji:
2022
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
travel time estimation
sensor location
user equilibrium principle
linear equations
szacowanie czasu podrózy
lokalizacja czujnika
równanie liniowe
Opis:
Travel time is a fundamental measure in any transportation system. With the development of technology, travel time can be automatically collected by a variety of advanced sensors. However, limited by objective conditions, it is difficult for any sensor system to cover the whole transportation network in real time. In order to estimate the travel time of the whole transportation network, this paper gives a system of linear equations which is constructed by the user equilibrium (UE) principle and observed data. The travel time of a link which is not covered by a sensor can be calculated by using the observed data collected by sensors. In a typical transportation network, the minimum number and location of sensors to estimate the travel time of the whole network are given based on the properties of the solution of a systems of linear equations. The results show that, in a typical network, the number and location of sensors follow a certain law. The results of this study can provide reference for the development of transportation and provide a scientific basis for transportation planning.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2022, 32, 1; 23--33
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
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 1-2 z 2

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