2015 IEEE 18th International Conference on Intelligent Transportation Systems最新文献_第4页

An Optimization Technique for Positioning Multiple Maps for Self-Driving Car's Autonomous Navigation 自动驾驶汽车自主导航中多地图定位优化技术

2015 IEEE 18th International Conference on Intelligent Transportation Systems Pub Date : 2015-09-15 DOI: 10.1109/ITSC.2015.433

Salvador Dominguez, Bogdan Khomutenko, G. Garcia, P. Martinet

{"title":"An Optimization Technique for Positioning Multiple Maps for Self-Driving Car's Autonomous Navigation","authors":"Salvador Dominguez, Bogdan Khomutenko, G. Garcia, P. Martinet","doi":"10.1109/ITSC.2015.433","DOIUrl":"https://doi.org/10.1109/ITSC.2015.433","url":null,"abstract":"Self-driving car's navigation requires a very precise localization covering wide areas and long distances. Moreover, they have to do it at faster speeds than conventional mobile robots. This paper reports on an efficient technique to optimize the position of a sequence of maps along a journey. We take advantage of the short-term precision and reduced space on disk of the localization using 2D occupancy grid maps, from now on called sub-maps, as well as, the long-term global consistency of a Kalman filter that fuses odometry and GPS measurements. In our approach, horizontal planar LiDARs and odometry measurements are used to perform 2D-SLAM generating the sub-maps, and the EKF to generate the trajectory followed by the car in global coordinates. During the trip, after finishing each sub-map, a relaxation process is applied to a set of the last sub-maps to position them globally using both, global and map's local path. The importance of this method lies on its performance, expending low computing resources, so it can work in real time on a computer with conventional characteristics and on its robustness which makes it suitable for being used on a self-driving car as it doesn't depend excessively on the availability of GPS signal or the eventual appearance of moving objects around the car. Extensive testing has been performed in the suburbs and in the down-town of Nantes (France) covering a distance of 25 kilometers with different traffic conditions obtaining satisfactory results for autonomous driving.","PeriodicalId":124818,"journal":{"name":"2015 IEEE 18th International Conference on Intelligent Transportation Systems","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126038350","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: 18

The Impact of Route Choice Modeling on Dynamic OD Estimation 路径选择建模对动态OD估计的影响

2015 IEEE 18th International Conference on Intelligent Transportation Systems Pub Date : 2015-09-15 DOI: 10.1109/ITSC.2015.242

E. Cipriani, Andrea del Giudice, Marialisa Nigro, F. Viti, Guido Cantelmo

引用次数: 9

A Constructive Intelligent Transportation System for Urban Traffic Network in Developing Countries via GPS Data from Multiple Transportation Modes 基于多种交通方式的GPS数据构建发展中国家城市交通网络智能交通系统

2015 IEEE 18th International Conference on Intelligent Transportation Systems Pub Date : 2015-09-15 DOI: 10.1109/ITSC.2015.281

D. Pham, Bao Hoang, S. N. Thành, H. Nguyen, V. Duong

{"title":"A Constructive Intelligent Transportation System for Urban Traffic Network in Developing Countries via GPS Data from Multiple Transportation Modes","authors":"D. Pham, Bao Hoang, S. N. Thành, H. Nguyen, V. Duong","doi":"10.1109/ITSC.2015.281","DOIUrl":"https://doi.org/10.1109/ITSC.2015.281","url":null,"abstract":"Due to demographic and economic growth in recent developing countries such as Viet Nam, traffic activities increase continuously and the problem of traffic management is urgently required. Consequently, the complexity of collecting traffic data as well as the traffic coordination carried over a control center are exponential. An Intelligent Transportation System (ITS) nowadays becomes a solution for handling those complexities. ITSs were already considered in developed countries under different formations. However, they are rarely used in most developing countries because of the cost of developing, implementing and maintaining those systems. We are interested by the design of an adaptive ITS for crowded cities in developing countries where non-lane-based traffic is core. We develop a framework for two main goals: 1) Collecting and processing traffic data from various types of sources such as cameras, sensors, GPS on cars, buses, taxis, motorcycles, etc. or individual users via our Mobile Application, 2) Adapting several algorithms in transportation research to regulate the traffic and inform users via a control center. Our ITS is firstly deployed to Ho Chi Minh city in Viet Nam under the support of local authority.","PeriodicalId":124818,"journal":{"name":"2015 IEEE 18th International Conference on Intelligent Transportation Systems","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125587450","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: 12

Vehicle Positioning in Road Networks without GPS 无GPS道路网络中的车辆定位

2015 IEEE 18th International Conference on Intelligent Transportation Systems Pub Date : 2015-09-15 DOI: 10.1109/ITSC.2015.293

Y. Dupuis, Pierre Merriaux, P. Vasseur, X. Savatier

引用次数: 3

A Method of Traffic Travel Status Segmentation Based on Position Trajectories 基于位置轨迹的交通出行状态分割方法

2015 IEEE 18th International Conference on Intelligent Transportation Systems Pub Date : 2015-09-15 DOI: 10.1109/ITSC.2015.462

Yun Shen, Honghui Dong, L. Jia, Yong Qin, Fei Su, Mingchao Wu, Kai Liu, Pan Li, Zhao Tian

{"title":"A Method of Traffic Travel Status Segmentation Based on Position Trajectories","authors":"Yun Shen, Honghui Dong, L. Jia, Yong Qin, Fei Su, Mingchao Wu, Kai Liu, Pan Li, Zhao Tian","doi":"10.1109/ITSC.2015.462","DOIUrl":"https://doi.org/10.1109/ITSC.2015.462","url":null,"abstract":"The knowledge of the transportation mode, which is used by humans to complete the travels, especially the signal-mode segment directly related to travel behavior research, is critical for application such as travel behavior research, transport planning and traffic management. As application of GPS gradually increased, traffic managers obtain more and more travel data used by residents, which is more accurate, and problems by traditional survey can be avoided. However, the travel data cannot contain the transport mode and even a trip contains more than one mode. In this article, a new method for segmenting travel data into single-mode segments is presented. We analysis the position data of GPS area of Beijing, extracting the position journeys, then obtaining the segments and the segment points by splitting the position journeys with the interval time, extracting the features of the segments for calculating similarity measure distance of the adjacent segment based on Euclidean distance, analyzing the similarity distance, and last implement the traffic travel status segmentation-the transition point recognition. Our method can directly implement the transition point recognition before the transport modes classification. We have implemented the method and test it with the GPS data collected in Beijing. As a result, based on Euclidean distance for similarity measure and the interval time of 90s, we achieve that the precision and recall accuracy being greater than others, are 70%, 77.8%, respectively.","PeriodicalId":124818,"journal":{"name":"2015 IEEE 18th International Conference on Intelligent Transportation Systems","volume":"221 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116421031","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: 10

Identifying Curve Reaction Point Using NDS Data 利用NDS数据识别曲线反应点

2015 IEEE 18th International Conference on Intelligent Transportation Systems Pub Date : 2015-09-15 DOI: 10.1109/ITSC.2015.361

S. Hallmark, Nicole Oneyear, Bo Wang, Samantha Tyner, C. Carney, D. McGehee

{"title":"Identifying Curve Reaction Point Using NDS Data","authors":"S. Hallmark, Nicole Oneyear, Bo Wang, Samantha Tyner, C. Carney, D. McGehee","doi":"10.1109/ITSC.2015.361","DOIUrl":"https://doi.org/10.1109/ITSC.2015.361","url":null,"abstract":"The object of this research was to use naturalistic driving study data (NDS) to determine where drivers begin reacting to the presence of a curve. Understanding where drivers begin to react to the curve is important for optimal placement of traffic control devices, such as advance curve warning signs, as well as other countermeasures. Time series data were modeled using regression analysis. Results indicate that, depending on radius of curve, drivers begin reacting to the curve 164 to 180 meters (538.1 to 590.6 feet) upstream of the point of curvature. This was compared against sign placement guidelines in the 2009 Manual on Uniform Traffic Control Devices, and it was determined these guidelines are appropriately set based on where drivers actually react to the curve. The analysis found that drivers begin reacting to the curve sooner for curves with larger radii than for curves with smaller radii. Drivers may not be able to gauge the sharpness of the curve, or sight distance issues may be a concern for sharper curves. It should be noted that the model only identified where drivers reacted to the curve. This research question did not attempt to answer whether the reaction point was sufficient for drivers to successfully negotiate the curve. It is also noted that sample sizes are small. Due to resource and data constraints it was not possible to model a large number of drivers over large variation of different curve types. Consequently, the results provide useful information but should be used within the context of the study limitations.","PeriodicalId":124818,"journal":{"name":"2015 IEEE 18th International Conference on Intelligent Transportation Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122511600","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: 1

Impact of Mixed Traffic in Urban Environment with Different Percentage Rates of Adaptive stop&go Cruise Control Equipped Vehicles on the Traffic Flow, Travel Time, Energy Demand and Emission 城市环境下不同比例自适应停行巡航车辆混合交通对交通流、出行时间、能源需求和排放的影响

2015 IEEE 18th International Conference on Intelligent Transportation Systems Pub Date : 2015-09-15 DOI: 10.1109/ITSC.2015.261

A. Kostikj, M. Kjosevski, Ljupcho Kocarev

{"title":"Impact of Mixed Traffic in Urban Environment with Different Percentage Rates of Adaptive stop&go Cruise Control Equipped Vehicles on the Traffic Flow, Travel Time, Energy Demand and Emission","authors":"A. Kostikj, M. Kjosevski, Ljupcho Kocarev","doi":"10.1109/ITSC.2015.261","DOIUrl":"https://doi.org/10.1109/ITSC.2015.261","url":null,"abstract":"Based on the fact that new vehicles bring new technologies into the traffic step by step, the research presented in this paper is focused on the impact of mixed traffic stream in urban environment with different percentage rates of adaptive stop&go cruise control equipped vehicles on the traffic flow, travel time, energy demand and emission. A model of a mixed traffic stream comprised of conventional and advanced vehicles was built upon a microscopic single lane urban traffic simulator that we have previously developed, calibrated and validated. Through number of parallel simulations of real and mixed traffic stream and analysis of the obtained results, we have evaluated the impact that certain presence rates of adaptive stop&go cruise control equipped vehicles in the mixed traffic stream have on the traffic flow, travel time, energy demand and emission. Furthermore, the comparison of the results leads towards some interesting conclusions which may serve as a base for further tuning of several aspects related to mixed traffic in urban environment.","PeriodicalId":124818,"journal":{"name":"2015 IEEE 18th International Conference on Intelligent Transportation Systems","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122595107","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: 3

Distributed Automated Vehicle Location (AVL) System Based on Connected Vehicle Technology 基于车联网技术的分布式自动车辆定位系统

2015 IEEE 18th International Conference on Intelligent Transportation Systems Pub Date : 2015-09-15 DOI: 10.1109/ITSC.2015.315

Piotr Smietanka, K. Szczypiorski, F. Viti, M. Seredynski

引用次数: 10

Development and Performance Analysis of Bicycle Collision Avoidance (BCA) Algorithms by Using PreScan and MATLAB 基于PreScan和MATLAB的自行车避碰算法开发及性能分析

2015 IEEE 18th International Conference on Intelligent Transportation Systems Pub Date : 2015-09-15 DOI: 10.1109/ITSC.2015.246

Yeona Kim, J. Ryu, Min Baek, Hwan Lee, Cheol Mun, Kyunbyoung Ko

引用次数: 5

Transit Trip Planners: Real-Time Strategy-Based Path Recommendation 交通出行计划:基于策略的实时路径推荐

2015 IEEE 18th International Conference on Intelligent Transportation Systems Pub Date : 2015-09-15 DOI: 10.1109/ITSC.2015.41

A. Nuzzolo, A. Comi

引用次数: 4