{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,16]],"date-time":"2026-02-16T09:13:34Z","timestamp":1771233214774,"version":"3.50.1"},"reference-count":18,"publisher":"Hindawi Limited","license":[{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"funder":[{"name":"Research Institute of Highway, Ministry of Transportation, China","award":["2014-9059"],"award-info":[{"award-number":["2014-9059"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computational Intelligence and Neuroscience"],"published-print":{"date-parts":[[2014]]},"abstract":"<jats:p>Critical gap is an important parameter used to calculate the capacity and delay of minor road in gap acceptance theory of unsignalized intersections. At an unsignalized intersection with two one-way traffic flows, it is assumed that two events are independent between vehicles\u2019 arrival of major stream and vehicles\u2019 arrival of minor stream. The headways of major stream follow M3 distribution. Based on Raff\u2019s definition of critical gap, two calculation models are derived, which are named M3 definition model and revised Raff\u2019s model. Both models use total rejected coefficient. Different calculation models are compared by simulation and new models are found to be valid. The conclusion reveals that M3 definition model is simple and valid. Revised Raff\u2019s model strictly obeys the definition of Raff\u2019s critical gap and its application field is more extensive than Raff\u2019s model. It can get a more accurate result than the former Raff\u2019s model. The M3 definition model and revised Raff\u2019s model can derive accordant result.<\/jats:p>","DOI":"10.1155\/2014\/236072","type":"journal-article","created":{"date-parts":[[2014,11,9]],"date-time":"2014-11-09T21:01:04Z","timestamp":1415566864000},"page":"1-7","source":"Crossref","is-referenced-by-count":18,"title":["Estimation of Critical Gap Based on Raff\u2019s Definition"],"prefix":"10.1155","volume":"2014","author":[{"given":"Rui-jun","family":"Guo","sequence":"first","affiliation":[{"name":"National ITS Center, Research Institute of Highway, Beijing 100088, China"},{"name":"School of Traffic and Transportation, Dalian Jiaotong University, Dalian 116028, China"}]},{"given":"Xiao-jing","family":"Wang","sequence":"additional","affiliation":[{"name":"National ITS Center, Research Institute of Highway, Beijing 100088, China"}]},{"given":"Wan-xiang","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Traffic and Transportation, Dalian Jiaotong University, Dalian 116028, China"}]}],"member":"98","reference":[{"issue":"6","key":"2","first-page":"327","volume":"25","year":"1984","journal-title":"Traffic Engineering and Control"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)0733-947X(2003)129:5(504)"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)0733-947X(1997)123:1(36)"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1016\/0041-1647(68)90060-9"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1287\/trsc.4.3.270"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.2307\/2347055"},{"key":"8","year":"1950"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1016\/S0965-8564(98)00048-2"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1287\/trsc.17.1.87"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1016\/S0965-8564(98)00044-5"},{"key":"12","year":"2000"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1016\/S0191-2615(00)00012-6"},{"key":"14","year":"1987"},{"key":"17","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)0733-947X(2007)133:3(166)"},{"key":"19","doi-asserted-by":"publisher","DOI":"10.1016\/S0965-8564(02)00009-5"},{"key":"20","year":"1968"},{"key":"21","doi-asserted-by":"publisher","DOI":"10.1016\/0041-1647(75)90008-8"},{"key":"22","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)TE.1943-5436.0000217"}],"container-title":["Computational Intelligence and Neuroscience"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2014\/236072.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2014\/236072.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2014\/236072.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2016,7,28]],"date-time":"2016-07-28T16:32:28Z","timestamp":1469723548000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.hindawi.com\/journals\/cin\/2014\/236072\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"references-count":18,"alternative-id":["236072","236072"],"URL":"https:\/\/doi.org\/10.1155\/2014\/236072","relation":{},"ISSN":["1687-5265","1687-5273"],"issn-type":[{"value":"1687-5265","type":"print"},{"value":"1687-5273","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014]]}}}