1998
DOI: 10.1080/01441649808717016
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Models and algorithms for road network design: a review and some new developments

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Cited by 611 publications
(332 citation statements)
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“…All input information by Suwansirikul et al [6] for the test network is presented in Table 2. The travel demand of (1,6) is assumed to be d, which is half of that for (6,1).…”
Section: The 16-link Network Examplementioning
confidence: 99%
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“…All input information by Suwansirikul et al [6] for the test network is presented in Table 2. The travel demand of (1,6) is assumed to be d, which is half of that for (6,1).…”
Section: The 16-link Network Examplementioning
confidence: 99%
“…The continuous NDP (CNDP) has become one of the most computationally intensive problems in the transportation field [1]. The CNDP is to determine how to expand the link capacity to minimize the total system travel cost while the users follow the Wardrop's first principle of traffic equilibrium to choose their routes, i.e.…”
Section: Introductionmentioning
confidence: 99%
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“…Webster and Cobbe (1966), Allsop (1972), and Wong (1996) investigated this concept for network intersections. However, using this concept as the objective function of the UNDPs was only suggested in the study by Yang and Bell (1998a). Yang and Bell (1998b) introduced a paradox related to network design problems and demonstrated that using the concept of reserve capacity into a network design problem is the best way to avoid this paradox.…”
Section: Accepted M M a N U mentioning
confidence: 99%
“…Nowadays, studying urban transportation network systems is crucial because the speed of the increase in urban transportation demand is higher than that in expanding the transportation system, so this system could not accommodate the increase in demand, while resources available for expanding the system capacity remain limited (Yang and Bell, 1998a). Until now, most UNDPs have been formulated as bi-level problems which in the upper level problem, several investment decisions are made by system owners or planners to optimize the desired objective function.…”
Section: Introductionmentioning
confidence: 99%