13th International IEEE Conference on Intelligent Transportation Systems最新文献_第9页

Driving and braking torque control methods for securing safe running of front-and-rear-wheel-independent-drive-type electric vehicles (FRID EVs) 保证前后轮独立驱动型电动汽车安全行驶的驱动和制动扭矩控制方法

13th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2010-11-09 DOI: 10.1109/ITSC.2010.5625259

N. Mutoh, K. Yokota

引用次数: 2

Hierarchical multiobjective model predictive control applied to a dynamic pickup and delivery problem 层次多目标模型预测控制应用于动态取货问题

13th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2010-11-09 DOI: 10.1109/ITSC.2010.5625193

A. Núñez, B. Schutter, D. Śaez, C. Cortés

引用次数: 6

CUDA implementation of belief propagation for stereo vision 立体视觉信念传播的CUDA实现

13th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2010-11-09 DOI: 10.1109/ITSC.2010.5625284

Young-kyu Choi

引用次数: 4

A surrogate approach for the global optimization of signal settings and traffic assignment problem 信号设置和交通分配问题全局优化的代理方法

13th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2010-11-09 DOI: 10.1109/ITSC.2010.5624975

L. Adacher, E. Cipriani

引用次数: 16

A simple adaptive signal control algorithm for isolated intersections using time-space diagrams 一个简单的自适应信号控制算法的孤立交叉口使用时-空图

13th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2010-11-09 DOI: 10.1109/ITSC.2010.5625093

Lertworawanich Ponlathep

{"title":"A simple adaptive signal control algorithm for isolated intersections using time-space diagrams","authors":"Lertworawanich Ponlathep","doi":"10.1109/ITSC.2010.5625093","DOIUrl":"https://doi.org/10.1109/ITSC.2010.5625093","url":null,"abstract":"Traffic signals are the main devices for controlling traffic to guarantee the safe crossing of opposing streams of vehicles and pedestrians. In this study, a simple cycle and split optimization method is developed for isolated intersections. The split optimization is based on the notion of minimizing delay per cycle while cycle length is adjusted according to the residual queues at the end of the cycle. Traffic dynamics at signalized intersections are represented on time-space diagrams using the shockwave theory and information from detectors installed upstream of intersections. Splits are incrementally adjusted so that the delay per cycle is gradually diminished. Cycles are modified to have an efficient use of the provided green times without causing the residual queues. Unlike most algorithms, the proposed method can manage traffic even when queues extend beyond detector locations. Simulation experiments on a two-one-way intersection with different demand scenarios are performed to demonstrate efficiency of the developed algorithm. Hypothesis tests are conducted to statistically verify the efficient comparison between the proposed method and the Webster formula. It is found that in case of fixed demand the proposed method can optimize splits and cycle lengths with no worse performance measures than the optimal fixed-time signal settings according to the Webster formula. For the variable demand case, the result indicates that the algorithm can adjust splits and cycle lengths in response to the change of demand and provides better performance measures than the Webster formula.","PeriodicalId":176645,"journal":{"name":"13th International IEEE Conference on Intelligent Transportation Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129151858","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

Real-time dynamic trajectory planning for highly automated driving in highways 高速公路高度自动驾驶实时动态轨迹规划

13th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2010-11-09 DOI: 10.1109/ITSC.2010.5625194

Paulo Resende, F. Nashashibi

引用次数: 23

Estimating arterial traffic conditions using sparse probe data 利用稀疏探测数据估计主干道交通状况

13th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2010-11-09 DOI: 10.1109/ITSC.2010.5624994

R. Herring, A. Hofleitner, P. Abbeel, A. Bayen

引用次数: 218

Driving and traveller behavior studies using 3D Internet 基于3D互联网的驾驶和旅行者行为研究

13th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2010-11-09 DOI: 10.1109/ITSC.2010.5625128

M. Miska, H. Prendinger, A. Nakasone, M. Kuwahara

引用次数: 8

Optimizing the fleet size of a Personal Rapid Transit system: A case study in port of Rotterdam 优化个人快速交通系统的车队规模:以鹿特丹港为例

13th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2010-11-09 DOI: 10.1109/ITSC.2010.5625002

Jie Li, Y. Chen, Hao Li, I. Andreasson, H. J. Zuylen

{"title":"Optimizing the fleet size of a Personal Rapid Transit system: A case study in port of Rotterdam","authors":"Jie Li, Y. Chen, Hao Li, I. Andreasson, H. J. Zuylen","doi":"10.1109/ITSC.2010.5625002","DOIUrl":"https://doi.org/10.1109/ITSC.2010.5625002","url":null,"abstract":"Cost issues have been an important concern in the development of Personal Rapid Transit (PRT) since the concept was developed several decades ago. The lightweight, computerguided electric vehicles operating the PRT system are generally a major part of the capital cost of the system, especially in larger network with high demand. A sufficient number of empty vehicles are needed to be moved to the stations where passengers are waiting or demand is expected. Generally a larger fleet size leads to a reduction in waiting time of passengers and thus a higher level of service given a specific demand, but an increased investment cost including capital cost per vehicle and additional operation and maintenance. So it requires a compromise between user cost (in terms of passenger waiting times) and operator cost (in terms of fleet sizedependent capital cost and operating/maintenance costs). There should be an optimal fleet size so that the sum of these two costs can be minimized while an expected level of service is achieved. This paper presents first the way to obtain the PRT demand, and then a prescription to determine the optimal fleet size using a cost-effectiveness analysis with traffic simulation. This prescription identifies the set of activities that are necessary to perform the optimization task. Each activity is regarded as a component in our general framework and this framework is illustrated by a case study in the Waal/ Eemshaven harbor area in the Port of Rotterdam, The Netherlands.","PeriodicalId":176645,"journal":{"name":"13th International IEEE Conference on Intelligent Transportation Systems","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127055019","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: 31

Lane-level traffic estimations using microscopic traffic variables 基于微观交通变量的车道级交通估计

13th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2010-11-09 DOI: 10.1109/ITSC.2010.5625191

S. Thajchayapong, J. Barria, Javier S. García-Treviño

引用次数: 12