{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T03:44:00Z","timestamp":1760240640480,"version":"build-2065373602"},"reference-count":83,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2019,8,18]],"date-time":"2019-08-18T00:00:00Z","timestamp":1566086400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004543","name":"China Scholarship Council","doi-asserted-by":"publisher","award":["201506560015"],"award-info":[{"award-number":["201506560015"]}],"id":[{"id":"10.13039\/501100004543","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Entropy"],"abstract":"<jats:p>Direct left turns (DLTs) could cause traffic slowdown, delay, stops, and even accidents on intersections, especially on no-median roads. Channelization and signalization can significantly diminish negative impact of DLTs. In China, a total of 56 large and medium-sized cities, including 17 provincial capitals, have adopted vehicle restriction policies due to traffic congestion, vehicle energy conservation and emission reduction, which cause travel inconvenience for citizens. This paper mainly studies signalization and channelization selections at intersections based on an entropy method. Based on the commonly used three evaluation indexes, the number of vehicles, CO emissions and fuel consumption have been added. The entropy evaluation method (EEM) method is innovatively used to objectively calculate the weight of the six indexes, which carry out the optimal traffic volume combinations for intersections of present situation, channelization and signalization. A VISSIM simulation is also used to evaluate the operating status of three conditions. The results show that EEM could help enormously in choosing different methods at a certain intersection. With the EEM, six indexes decrease by 20\u201370% at most.<\/jats:p>","DOI":"10.3390\/e21080808","type":"journal-article","created":{"date-parts":[[2019,8,19]],"date-time":"2019-08-19T06:10:14Z","timestamp":1566195014000},"page":"808","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Evaluating Signalization and Channelization Selections at Intersections Based on an Entropy Method"],"prefix":"10.3390","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3259-1269","authenticated-orcid":false,"given":"Yang","family":"Shao","sequence":"first","affiliation":[{"name":"Traffic and Road Engineering Center, Highway Academy, Chang\u2019an University, Xi\u2019an 710064, China"}]},{"given":"Xueyan","family":"Han","sequence":"additional","affiliation":[{"name":"Traffic and Road Engineering Center, Highway Academy, Chang\u2019an University, Xi\u2019an 710064, China"}]},{"given":"Huan","family":"Wu","sequence":"additional","affiliation":[{"name":"Human Resource Department, Xi\u2019an Shiyou University, Xi\u2019an 710065, China"}]},{"given":"Christian","family":"G. Claudel","sequence":"additional","affiliation":[{"name":"Cockrell School of Engineering, University of Texas at Austin, Austin, TX 78712, USA"}]}],"member":"1968","published-online":{"date-parts":[[2019,8,18]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"9841498","DOI":"10.1155\/2018\/9841498","article-title":"The Impact of Aggressive Driving Behavior on Driver-Injury Severity at Highway-Rail Grade Crossings Accidents","volume":"2018","author":"Ma","year":"2018","journal-title":"J. Adv. Transp."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1016\/j.simpat.2019.03.003","article-title":"From traffic conflict simulation to traffic crash simulation: Introducing traffic safety indicators based on the explicit simulation of potential driver errors","volume":"94","author":"Vittorio","year":"2019","journal-title":"Simul. Model. Pract. 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