The problem of optimally locating fixed sensors on a traffic network infrastructure has been object of growing interest in the past few years. Sensor location decisions models differ from each other according to the type of sensors that are to be located and the objective that one would like to optimize. This paper surveys the existing contributions in the literature related to the problem of locating fixed sensors on the network to estimate travel times. The review consists of two parts: the first part reviews the methodological approaches for the optimal location of counting sensors on a freeway for travel time estimation; the second part focuses on the results related to the optimal location of Automatic Vehicle Identification (AVI) read...
The knowledge of travel times on road networks is of vital importance for network operators as well ...
The Origin–Destination (O–D) matrix, is an important information in transportation planning and traf...
Over the past few years, traffic congestion has become a genuine nightmare to most of the urban comm...
The problem of optimally locating fixed sensors on a traffic network infrastructure has been object ...
Travel time estimation for freeways has attracted much attention from researchers and traffic manage...
The sensor location problem is of particular importance when planning the allocation of limited fiel...
Accurate state estimation and prediction models strongly rely on the quality and the dissemination o...
The problem of optimally locating sensors on a traffic network to measure flows has been object of g...
Congestion on freeways is increasing and a key source of it is non-recurring incidents. Accurate veh...
With the advent of Intelligent Transportation Systems, transportation networks are substantially de...
To obtain adequate traffic information, the density of traffic sensors should be sufficiently high t...
Traffic sensors serve as an important way to a number of intelligent transportation system applicati...
This paper develops an algorithm for optimally locating surveillance technologies with an emphasis o...
The knowledge of travel times on road networks is of vital importance for network operators as well ...
The Origin–Destination (O–D) matrix, is an important information in transportation planning and traf...
Over the past few years, traffic congestion has become a genuine nightmare to most of the urban comm...
The problem of optimally locating fixed sensors on a traffic network infrastructure has been object ...
Travel time estimation for freeways has attracted much attention from researchers and traffic manage...
The sensor location problem is of particular importance when planning the allocation of limited fiel...
Accurate state estimation and prediction models strongly rely on the quality and the dissemination o...
The problem of optimally locating sensors on a traffic network to measure flows has been object of g...
Congestion on freeways is increasing and a key source of it is non-recurring incidents. Accurate veh...
With the advent of Intelligent Transportation Systems, transportation networks are substantially de...
To obtain adequate traffic information, the density of traffic sensors should be sufficiently high t...
Traffic sensors serve as an important way to a number of intelligent transportation system applicati...
This paper develops an algorithm for optimally locating surveillance technologies with an emphasis o...
The knowledge of travel times on road networks is of vital importance for network operators as well ...
The Origin–Destination (O–D) matrix, is an important information in transportation planning and traf...
Over the past few years, traffic congestion has become a genuine nightmare to most of the urban comm...