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In response to the demand for an environmentally friendly transportation, we extend the problem into a green version by using both emission charging method and bi\u2010objective optimization to optimize the CO<jats:sub>2<\/jats:sub> emissions in the routing. Two uncertain factors, including capacity uncertainty of rail services and travel time uncertainty of road services, are formulated in order to improve the reliability of the routes. By using the triangular fuzzy numbers and time\u2010dependent travel time to separately model the capacity uncertainty and travel time uncertainty, we establish a fuzzy chance\u2010constrained mixed integer nonlinear programming model. A linearization\u2010based exact solution strategy is designed, so that the problem can be effectively solved by any exact solution algorithm on any mathematical programming software. An empirical case is presented to demonstrate the feasibility of the proposed methods. In the case discussion, sensitivity analysis and bi\u2010objective optimization analysis are used to find that the bi\u2010objective optimization method is more effective than the emission charging method in lowering the CO<jats:sub>2<\/jats:sub> emissions for the given case. Then, we combine sensitivity analysis and fuzzy simulation to identify the best confidence value in the fuzzy chance constraint. All the discussion will help decision makers to better organize the green multimodal transportation.<\/jats:p>","DOI":"10.1155\/2018\/8645793","type":"journal-article","created":{"date-parts":[[2018,6,24]],"date-time":"2018-06-24T23:32:11Z","timestamp":1529883131000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":67,"title":["A Time\u2010Dependent Fuzzy Programming Approach for the Green Multimodal Routing Problem with Rail Service Capacity Uncertainty and Road Traffic Congestion"],"prefix":"10.1155","volume":"2018","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4704-5578","authenticated-orcid":false,"given":"Yan","family":"Sun","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Martin","family":"Hru\u0161ovsk\u00fd","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4057-4124","authenticated-orcid":false,"given":"Chen","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3522-4085","authenticated-orcid":false,"given":"Maoxiang","family":"Lang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2018,6,24]]},"reference":[{"key":"e_1_2_10_1_2","doi-asserted-by":"publisher","DOI":"10.2174\/1874149501509010714"},{"key":"e_1_2_10_2_2","doi-asserted-by":"publisher","DOI":"10.1155\/2015\/406218"},{"key":"e_1_2_10_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/S1366-5545(98)00017-9"},{"key":"e_1_2_10_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.trd.2006.10.004"},{"key":"e_1_2_10_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.trd.2009.05.002"},{"key":"e_1_2_10_6_2","doi-asserted-by":"publisher","DOI":"10.1080\/03081060802086397"},{"key":"e_1_2_10_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0377-2217(03)00161-9"},{"key":"e_1_2_10_8_2","doi-asserted-by":"publisher","DOI":"10.3390\/info7010013"},{"key":"e_1_2_10_9_2","doi-asserted-by":"publisher","DOI":"10.1287\/trsc.1080.0246"},{"key":"e_1_2_10_10_2","first-page":"84","article-title":"Study on the theory of carrying capacity reliability of railway networks","volume":"30","author":"Lei Z. 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