{"title":"Cooperative driving and a lane change-free road transportation system","authors":"","doi":"10.1049/pbtr026e_ch8","DOIUrl":"https://doi.org/10.1049/pbtr026e_ch8","url":null,"abstract":"","PeriodicalId":218837,"journal":{"name":"Traffic Information and Control","volume":"284 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116096702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Urban traffic control systems: architecture, methods and development","authors":"","doi":"10.1049/pbtr026e_ch9","DOIUrl":"https://doi.org/10.1049/pbtr026e_ch9","url":null,"abstract":"","PeriodicalId":218837,"journal":{"name":"Traffic Information and Control","volume":"516 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116224796","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Short-term travel-time prediction by deep learning: a comparison of different LSTM-DNN models","authors":"","doi":"10.1049/pbtr026e_ch4","DOIUrl":"https://doi.org/10.1049/pbtr026e_ch4","url":null,"abstract":"","PeriodicalId":218837,"journal":{"name":"Traffic Information and Control","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124226843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Game theoretic lane change strategy for cooperative vehicles under perfect information","authors":"A. Ladino, Meng Wang","doi":"10.1049/pbtr026e_ch7","DOIUrl":"https://doi.org/10.1049/pbtr026e_ch7","url":null,"abstract":"Lane change maneuvers are main causes of traffic turbulence at highway bottlenecks. We propose a dynamic game framework to derive the system optimum strategy for a network of cooperative vehicles interacting at a merging bottleneck. Cooperative vehicles on the highway mainline seek for optimal strategies (i.e., whether and when to perform courtesy lane change to facilitate the merging vehicle) to minimize their cost, while taking into account potential future interactions at the merging section while minimizing the distance traveled on the acceleration lane. An optimal strategy is found by minimizing the joint cost of all interacting vehicles while respecting behavioral and physical constraints. Numerical examples show the feasibility of the approach in capturing the nature of conflict and cooperation during the merging process, and demonstrate the benefits of sharing information and cooperative control for connected and automated vehicles.","PeriodicalId":218837,"journal":{"name":"Traffic Information and Control","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134409783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Back Matter","authors":"","doi":"10.1049/pbtr026e_bm","DOIUrl":"https://doi.org/10.1049/pbtr026e_bm","url":null,"abstract":"","PeriodicalId":218837,"journal":{"name":"Traffic Information and Control","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132182731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Traffic analytics with online web data","authors":"Yisheng Lv, Yuan-yuan Chen, Xueliang Zhao, Hao Lu","doi":"10.1049/pbtr026e_ch2","DOIUrl":"https://doi.org/10.1049/pbtr026e_ch2","url":null,"abstract":"Social media and other online websites have rich traffic information. How to extract and mine useful traffic information from online web data to address transportation problems has become a valuable and interesting research topic in current data-explosive era. In this chapter, we introduce a traffic analytic system with online web data. The proposed system can collect online data, use machine learning and natural language processing methods to extract traffic events, analyze traffic sentiment, and reason traffic scenarios. We also present some results based on the proposed system and techniques in practice.","PeriodicalId":218837,"journal":{"name":"Traffic Information and Control","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116862259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Real-time demand-based traffic diversion","authors":"","doi":"10.1049/pbtr026e_ch6","DOIUrl":"https://doi.org/10.1049/pbtr026e_ch6","url":null,"abstract":"","PeriodicalId":218837,"journal":{"name":"Traffic Information and Control","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124758725","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Emerging technologies to enhance traffic signal coordination practices","authors":"Z. Tian, Aobo Wang","doi":"10.1049/pbtr026e_ch11","DOIUrl":"https://doi.org/10.1049/pbtr026e_ch11","url":null,"abstract":"Emerging technologies and tools play a vital role for advancing the state of practice on signal timing and coordination. The discussions in this chapter primarily focused on addressing the four critical aspects and challenges facing management agencies and signal timing engineers: timing management and documentation, optimization without traffic volumes, trajectory -based timing diagnosis, and performance evaluation. Such emerging technologies and techniques help practitioners economize the laborious processes of the traditional signal timing process. It is anticipated that new technologies will continue to emerge and hold promises for significantly changing how traffic signal control issues are addressed. For example, with connected -vehicle technologies gaining increased market penetration, traffic flows would be predictable and guidable, which allow quicker and more accurate information exchange and signal control response. Although emerging technologies are promising, practitioners should not simply deem that such technologies would automatically achieve better results. A careful investigation before applying any technologies and a comprehensive performance evaluation after the implementation are always necessary.","PeriodicalId":218837,"journal":{"name":"Traffic Information and Control","volume":"121 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120867846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Macroscopic traffic performance indicators based on floating car data: formation, pattern analysis, and deduction","authors":"Lu Ma, Jiaqi He","doi":"10.1049/pbtr026e_ch3","DOIUrl":"https://doi.org/10.1049/pbtr026e_ch3","url":null,"abstract":"Urban traffic is an important part of urban activities. With the rapid development of the economy and the advancement of urbanization in many cities, urban road systems experienced serious traffic congestions, which increases the traffic delay and fuel consumption, aggravates the vehicle exhaust and noise, and seriously damages the urban environment. In order to evaluate the congestion conditions of cities, macroscopic measurements are required to provide quantified indications on evaluating the traffic performance of cities.","PeriodicalId":218837,"journal":{"name":"Traffic Information and Control","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114779288","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Traffic signal control for short-distance intersections with dynamic reversible lanes","authors":"","doi":"10.1049/pbtr026e_ch12","DOIUrl":"https://doi.org/10.1049/pbtr026e_ch12","url":null,"abstract":"","PeriodicalId":218837,"journal":{"name":"Traffic Information and Control","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126375682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}