2014 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems (CIVTS)最新文献_第2页

Car relocation for carsharing service: Comparison of CPLEX and greedy search 拼车服务中的汽车搬迁:CPLEX与贪心搜索的比较

2014 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems (CIVTS) Pub Date : 2014-12-01 DOI: 10.1109/CIVTS.2014.7009477

Rabih Zakaria, M. Dib, L. Moalic, A. Caminada

引用次数: 14

Trust-based controller for convoy string stability 基于信任的护航管柱稳定性控制器

2014 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems (CIVTS) Pub Date : 2014-12-01 DOI: 10.1109/CIVTS.2014.7009480

Dariusz G. Mikulski

引用次数: 3

Probabilistic modeling of navigation bridge officer's behavior 驾驶台人员行为的概率建模

2014 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems (CIVTS) Pub Date : 2014-12-01 DOI: 10.1109/CIVTS.2014.7009489

G. Psarros

引用次数: 1

Multiobjective selection of input sensors for travel times forecasting using support vector regression 基于支持向量回归的行程时间预测输入传感器多目标选择

2014 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems (CIVTS) Pub Date : 2014-12-01 DOI: 10.1109/CIVTS.2014.7009472

Jiri Petrlik, Otto Fucík, L. Sekanina

引用次数: 1

Traffic information extraction from a blogging platform using knowledge-based approaches and bootstrapping 利用基于知识的方法和自举法从博客平台提取交通信息

2014 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems (CIVTS) Pub Date : 2014-12-01 DOI: 10.1109/CIVTS.2014.7009471

Jorge Leonid Aching Samatelo, Thiago B. F. de Oliveira, A. Bazzan

{"title":"Traffic information extraction from a blogging platform using knowledge-based approaches and bootstrapping","authors":"Jorge Leonid Aching Samatelo, Thiago B. F. de Oliveira, A. Bazzan","doi":"10.1109/CIVTS.2014.7009471","DOIUrl":"https://doi.org/10.1109/CIVTS.2014.7009471","url":null,"abstract":"In this paper we propose a strategy to use messages posted in a blogging platform for real-time sensing of traffic-related information. Specifically, we use the data that appear in a blog, in Portuguese language, which is managed by a Brazilian daily newspaper on its online edition. We propose a framework based on two modules to infer the location and traffic condition from unstructured, non georeferenced short post in Portuguese. The first module relates to name-entity recognition (NER). It automatically recognizes three classes of named-entities (NEs) from the input post (LOCATION, STATUS and DATE). Here, a bootstrapping approach is used to expand the initially given list of locations, identifying new locations as well as locations corresponding to spelling variants and typographical errors of the known locations. The second module relates to relation extraction (RE). It extracts binary and ternary relations between such entities to obtain relevant traffic information. In our experiments, the NER module has yielded a F-measure of 96%, while the RE module resulted in 87%. Also, results show that our bootstrapping approach identifies 1;058 new locations when 10;000 short posts are analyzed.","PeriodicalId":283766,"journal":{"name":"2014 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems (CIVTS)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129357247","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}

引用次数: 2

Dynamic ridesharing with intermediate locations 中间位置的动态拼车

2014 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems (CIVTS) Pub Date : 2014-12-01 DOI: 10.1109/CIVTS.2014.7009475

K. Aissat, A. Oulamara

{"title":"Dynamic ridesharing with intermediate locations","authors":"K. Aissat, A. Oulamara","doi":"10.1109/CIVTS.2014.7009475","DOIUrl":"https://doi.org/10.1109/CIVTS.2014.7009475","url":null,"abstract":"Ridesharing concerns people that are willing to intelligently ride in order to save money and protect environment. The idea is based on a better use of private car. More precisely, it aims to bring together individuals that share, even partially, a trip. In the recurring ridesharing problem, when an offer is matched with a demand, the driver picks-up the rider at his starting location, drops him off at his ending location and continues to his target location. This approach lacks of flexibility and misses some possible matchings. In this paper, we propose a new ridesharing approach in which a driver and a rider accept to meet in an intermediate starting location and to separate in another intermediate ending location. This allows to reduce both the driver's detour and the total travel cost. We propose exact and heuristic methods to compute meeting points that minimize the total travel cost of the driver and the rider. We analyze their empirical performance on a set of real road networks consisting of up to 3,5 million nodes and 8,7 million edges. Our experimental analysis shows that our heuristics provide efficient performances within short CPU times and improves the recurring ridesharing approach.","PeriodicalId":283766,"journal":{"name":"2014 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems (CIVTS)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124685389","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}

引用次数: 16

Fitness function for evolutionary computation applied in dynamic object simulation and positioning 适应度函数进化计算在动态目标仿真与定位中的应用

2014 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems (CIVTS) Pub Date : 2014-12-01 DOI: 10.1109/CIVTS.2014.7009485

M. Woźniak

引用次数: 21

Autonomous running control system of an AGV by a tablet PC based on the wall-floor boundary line 基于墙-地板边界线的平板电脑AGV自主运行控制系统

2014 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems (CIVTS) Pub Date : 2014-12-01 DOI: 10.1109/CIVTS.2014.7009486

Anar Zorig, Atsushi Haginiwa, Hiroyuki Sato

引用次数: 0

Predicting bikeshare system usage up to one day ahead 提前一天预测共享单车系统的使用情况

2014 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems (CIVTS) Pub Date : 2014-12-01 DOI: 10.1109/CIVTS.2014.7009473

R. Giot, Raphael Cherrier

引用次数: 58

An effective search and navigation model to an auto-recharging station of driverless vehicles 一种有效的无人驾驶汽车自动充电站搜索导航模型

2014 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems (CIVTS) Pub Date : 2014-12-01 DOI: 10.1109/CIVTS.2014.7009484

C. Luo, Yu-Ting Wu, N. M. Krishnan, M. Paulik, G. Jan, Jiyong Gao

{"title":"An effective search and navigation model to an auto-recharging station of driverless vehicles","authors":"C. Luo, Yu-Ting Wu, N. M. Krishnan, M. Paulik, G. Jan, Jiyong Gao","doi":"10.1109/CIVTS.2014.7009484","DOIUrl":"https://doi.org/10.1109/CIVTS.2014.7009484","url":null,"abstract":"An electric vehicle auto-recharging station is a component in an infrastructure supplying electric energy for the recharging of plug-in electric vehicles. An auto-recharging station is usually accessible to an autonomous driverless vehicle driven by intelligent algorithms. A driverless vehicle is assumed to be capable of autonomously searching and navigating it into a recharging station. In this paper, a novel hybrid intelligent system is developed to navigate an autonomous vehicle into a recharging station. The driverless vehicle driven by D*Lite path planning methodology in conjunction with a Vector Field Histogram (VFH) local navigator is developed for search and navigation purpose to reach an auto-recharging station with obstacle avoidance. Once it approaches vicinity of the recharging station, the driverless vehicle should be directed at the recharging station at a proper angle, which is accomplished by a Takagi-Sugeno fuzzy logic model. A novel error control of angle and distance heuristic approach is proposed to adjust the vehicle straight at the recharging station. Development of the driverless vehicle in terms of hardware and software design is described. Simulation studies on the Player/Stage platform demonstrate that the proposed model can successfully guide an autonomous driverless vehicle into the recharging station. Experimental effort shows its promising results that the driverless vehicle is able to autonomously navigate it to an auto-recharging station.","PeriodicalId":283766,"journal":{"name":"2014 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems (CIVTS)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123510481","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}

引用次数: 4