New optimization strategies of pavement maintenance: A case study for national road network in Indonesia using integrated road management system

The Provincial Administration of the Western Cape in South Africa is responsible for 18,900 km of proclaimed roads, of which 10,500 km are unsurfaced. A formal gravel road management system has been in operation since 1989 that assists in prioritizing projects for regraveling and upgrading gravel roads to surfaced standards. Because of fund limitations for upgrading gravel roads to surfaced roads, there is a need to optimize performance of the gravel road network and maximize use of knowledge and latest research results for southern Africa. Staff shortages and loss of in-house expertise made external assistance necessary to improve service to road users. Processes formalized, implemented, and planned for this purpose included ( a) upgrading the gravel road management system to quantify benefits, prioritize activities, and select maintenance and improvement measures; ( b) appointing consulting engineers in each district to help manage borrow pits, materials design, training, construction supervision and quality control, maintenance planning and control, and performance monitoring; ( c) communication about project priorities, construction programs, work methods, construction team performance, and activity costs; and ( d) development of an operational web-enabled system to manage all activities related to unsurfaced roads. Within 1 year, a remarkable difference in gravel road performance was observed without a significant reduction in productivity. Total transportation costs were lowered with only a marginal increase in agency costs. Continuous communication among system operators, design engineers, project managers, and construction teams is considered one of the most important aspects in optimizing performance of the Western Cape low-volume road network. This study highlights the most important changes in management, systems, design, and construction and the practical innovations responsible for the successes achieved as a potentially valuable aid to those involved with providing and maintaining low-volume roads.

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Pavement Maintenance Optimization Strategies for National Road Network in Indonesia Applying Genetic Algorithm

Procedia Engineering ◽

10.1016/j.proeng.2017.11.074 ◽

2017 ◽

Vol 210 ◽

pp. 253-260 ◽

Cited By ~ 4

Author(s):

Hamdi ◽

Sigit P. Hadiwardoyo ◽

A. Gomes Correia ◽

Paulo Pereira

Keyword(s):

Genetic Algorithm ◽

Road Network ◽

Maintenance Optimization ◽

Pavement Maintenance ◽

National Road

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Die Erhaltung von Bauwerken der Bundesfernstraßen in Deutschland / Maintenance of structures belonging to the national road network in Germany

Restoration of Buildings and Monuments ◽

10.1515/rbm-1999-5388 ◽

1999 ◽

Vol 5 (4) ◽

pp. 343-358

Author(s):

F. Standfuß

Keyword(s):

Management System ◽

Road Network ◽

The State ◽

Road Surface ◽

The Road ◽

Existing Structures ◽

Medium Range ◽

National Road

Abstract First it is shown that maintenance of structures belonging to the national road network in Germany is neglected in an alarming way. It is obivous that the state of the road surface, of bridges and other structures is deteriorating in the old Länder in particular. In spite of that, politicians have not yet recognized the importance of this fact for the economy of an industrialized country. There exists a lack of medium range financial planing and provision of means. The elaboration of a management system for existing structures has only been started in 1997.

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Comparing Different Equipment and Applications in Pavement Data Collection as Part of Road Management System

European Journal of Engineering and Formal Sciences ◽

10.26417/ejef.v3i3.p39-46 ◽

2019 ◽

Vol 3 (3) ◽

pp. 39

Author(s):

Arjol Lule ◽

Shkelqim Daja

Keyword(s):

Data Collection ◽

Asset Management ◽

Management System ◽

Road Network ◽

Road Transport ◽

Transport Infrastructure ◽

Management Systems ◽

Road Infrastructure ◽

The Road ◽

Road Management

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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Genetic Algorithm Applied for Optimization of Pavement Maintenance under Overload Traffic: Case Study Indonesia National Highway

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.845.369 ◽

2016 ◽

Vol 845 ◽

pp. 369-378 ◽

Cited By ~ 3

Author(s):

Andri Irfan Rifai ◽

Sigit Pranowo Hadiwardoyo ◽

António Gomes Correia ◽

Paulo Pereira

Keyword(s):

Optimization Model ◽

Road Network ◽

Maintenance Cost ◽

Road Maintenance ◽

Optimal Solutions ◽

Pavement Maintenance ◽

Roughness Index ◽

The Government ◽

On The Road ◽

National Road

National Road Network which consists of a traditional road structure and modern roads, require planned maintenance and should be in accordance with the needs. The limited choice of available national road network and the deviation of the overloading encourage the government to be more responsive to carry out maintenance management. The institution in charge of road maintenance is often constrained by the limited budget available. A two-objective optimization model considers maximum roughness and minimum maintenance cost for used road network with overload. The study was conducted on the entire national road network in West Java which are paved with flexible pavement. In the proposed approach, data mining model are used for predicting the roughness index over a given period of time. Routine and periodic maintenance are chosen in this study. Multi-objective optimization model was developed based on Genetic Algorithms. Budget constraints and overloading are the two constraints in the developed model. Based on the R-Tools result, the Pareto optimal solutions of the two objective functions are obtained. From the optimal solutions represented by roughness index and cost, an agency more easily obtain the information of the maintenance planning. Results of the developed model has been implemented through the selection of maintenance on the road network scenarios with different levels of overload.

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