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In light of magnitude improvement in the availability of computer memory in recent years, path-based algorithms have been regarded as a viable approach for traffic assignment problems with reasonably large network sizes. We develop a path-based gradient projection algorithm for solving the cost-based system optimum model, based on Goldstein-Levitin-Polyak method which has been successfully applied to solve standard user equilibrium and system optimum problems. The Sioux Falls network tested is used to verify the effectiveness of the algorithm.<\/jats:p>","DOI":"10.1155\/2014\/271358","type":"journal-article","created":{"date-parts":[[2014,3,20]],"date-time":"2014-03-20T21:01:20Z","timestamp":1395349280000},"page":"1-9","source":"Crossref","is-referenced-by-count":2,"title":["A Path-Based Gradient Projection Algorithm for the Cost-Based System Optimum Problem in Networks with Continuously Distributed Value of Time"],"prefix":"10.1155","volume":"2014","author":[{"given":"Wen-Xiang","family":"Wu","sequence":"first","affiliation":[{"name":"Beijing Key Lab of Urban Intelligent Traffic Control Technology, North China University of Technology, Beijing 100144, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hai-Jun","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Economics and Management, Beihang University, Beijing 100191, 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