Computational Technology Resources - CCP

Paper V.1

Programming Maximum Accessibility Road Network Improvements

A. Antunes, A. Seco and N. Pinto

Civil Engineering Department, University of Coimbra, Portugal

doi:10.4203/ccp.60.5.1

A. Antunes, A. Seco, N. Pinto, "Programming Maximum Accessibility Road Network Improvements", in B.H.V. Topping, B. Kumar, (Editors), "Optimization and Control in Civil and Structural Engineering", Civil-Comp Press, Edinburgh, UK, pp 139-145, 1999. doi:10.4203/ccp.60.5.1

Abstract

This paper presents a maximum-accessibility optimisation approach to programming road network improvements. The approach is based on a non-linear combinatorial optimisation model. Two heuristics have been developed for solving the model, respectively based on local search and simulated annealing principles. The efficiency of the heuristics was analysed on a representative sample of test problems involving 10-, 20-, and 40-node networks. In the analysis both solution quality and computing effort were taken into account.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 60 OPTIMIZATION AND CONTROL IN CIVIL AND STRUCTURAL ENGINEERING Edited by: B.H.V. Topping and B. Kumar Paper V.1 Programming Maximum Accessibility Road Network Improvements A. Antunes, A. Seco and N. Pinto Civil Engineering Department, University of Coimbra, Portugal doi:10.4203/ccp.60.5.1 purchase the full-text of this paper Full Bibliographic Reference for this paper A. Antunes, A. Seco, N. Pinto, "Programming Maximum Accessibility Road Network Improvements", in B.H.V. Topping, B. Kumar, (Editors), "Optimization and Control in Civil and Structural Engineering", Civil-Comp Press, Edinburgh, UK, pp 139-145, 1999. doi:10.4203/ccp.60.5.1 Abstract This paper presents a maximum-accessibility optimisation approach to programming road network improvements. The approach is based on a non-linear combinatorial optimisation model. Two heuristics have been developed for solving the model, respectively based on local search and simulated annealing principles. The efficiency of the heuristics was analysed on a representative sample of test problems involving 10-, 20-, and 40-node networks. In the analysis both solution quality and computing effort were taken into account. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £66 +P&P)
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