Theoretical Principles, Methods, and Equipment for Pavement-Condition Measurements Specific for Road Management Systems

Author(s):  
M Procházka ◽  
O Kropáč ◽  
J Šprinc ◽  
F Lehovec
2020 ◽  
Vol 47 (6) ◽  
pp. 759-770
Author(s):  
Feras Elsaid ◽  
Luis Amador-Jimenez ◽  
Ciprian Alecsandru

Several cities around the world have announced strategies to extend and (or) upgrade their bikeway networks in response to the rapid increase of bicycle users. However, there is a disconnection between these strategies and management systems, often used for the scheduling of maintenance and rehabilitation of roads. Traditional pavement management systems fail to incorporate bicycle pathways considering bicycling demand, along with pavement condition, as a driving element to budget for improvements. More convenient and safer bicycling facilities can encourage more individuals to shift their daily commuting habits to bicycling. In this study, we incorporate bicycling demand into pavement management systems to produce strategic plans for the maintenance and improvement of the bicycle networks. Furthermore, here we employ smartphones to represent bicycling demand using GPS trajectories of bicycles. In addition, goal optimization is applied to schedule interventions and improvements. Two scenarios are investigated with different annual budgets.


2009 ◽  
Vol 32 (2) ◽  
pp. 103-113
Author(s):  
N.K. Mushule

One of major problems of road management in developing countries is the lack of decision making toolsfor preparing road maintenance programmes. This results in poor resource allocation and poor utilisationof existing assets. Pavement management systems (PMS) have been developed around the world in order to assist with the pavement management process in a co-ordinated and systematic manner. Some developed countries have derived pavement performance models that are suited to local conditions by setting up long term pavement performance studies. Conversely, most developing countries do not have the resources required to set up similar large-scale field experiments. However, validation and calibration of models developed from comprehensive studies elsewhere offers a viable lternative for such countries. This paper evaluates the feasibility of using HDM-4 as a support software and determines level 1 calibration factors for PMS in Tanzania. The paper demonstrates the use of a calibrated HDM-4 to determine the required road management information in developing countries.


2003 ◽  
Vol 156 (4) ◽  
pp. 179-188 ◽  
Author(s):  
W. G. Wong ◽  
G. P. He ◽  
S. T. Luk

2019 ◽  
Vol 3 (3) ◽  
pp. 39
Author(s):  
Arjol Lule ◽  
Shkelqim Daja

National roads are the main arteries in road transport infrastructure. Therefore, all agencies or authorities responsible of road infrastructure, pay attention to road management systems. Albania is experiencing an increase in road infrastructure investments and maintenance of this road network. There have been some attempts to establish national and secondary road management systems. These systems attempt to achieve different objectives, such as the provision of an adequate level of service, the preservation of the road infrastructure, etc. A good Road Asset Management System (RAMS), helps to carry out all the actions of inventory, storage and maintenance of road assets as well as, supports the decision-making process. At present, there are several data collection devices and applications that carry out the job efficiently. The purpose of this paper is to present the analysis of the use and comparison of some equipment and Cell Phone Based Systems (MiniROMDAS, PaveProf-V2 and RoadLab_Pro) used for the road pavement data collection, necessary in the calculation of the International Roughness Index (IRI), along the national road network in Albania. The comparison is made, by analyzing the data and results obtained along a 20 km long road segment in Albania, using the various above-mentioned technologies. Also, an overview of the currently available technologies providing information that could assist managers in establishing an appropriate data collection program is given.


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