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146篇 您的检索式:期刊名="Intelligent Vehicle"
    题名 作者 年代 出处 被引量
1Active lighting systems for improved road safety 显示文摘ROSLAK J 2004IEEE Intelligent Vehicles Symposi-um2004,6,:1
2Vehicle fuel consumption and emission estimation in environmental-adaptive driving with or without intervehicle communications显示文摘WIDODO A HASEGAWA T TSUGAWA S 2000IEEE Intelligent Vehicles Symposium Dearborn MI USA2000,,:1
3Development of Daihatsu ASV2 显示文摘HAJIMU Masuda YASUHISA Hirosima TOSHlOITO 20001EEE Intelligent Vehicles Symposium 2000 Dearborn ( MI ) USA2000,2000,10:1
4Merging control strategies of connected and autonomous vehicles at freeway on-ramps:a comprehensive review显示文摘Purpose–On-ramp merging areas are typical bottlenecks in the freeway network since merging on-ramp vehicles may cause intensive disturbances on the mainline traffic flow and lead to various negative impacts on traffic efficiency and safety.The connected and autonomous vehicles(CAVs),with their capabilities of real-time communication and precise motion control,hold a great potential to facilitate ramp merging operation through enhanced coordination strategies.This paper aims to present a comprehensive review of the existing ramp merging strategies leveraging CAVs,focusing on the latest trends and developments in the research field.Design/methodology/approach–The review comprehensively covers 44 papers recently published in leading transportation journals.Based on the application context,control strategies are categorized into three categories:merging into sing-lane freeways with total CAVs,merging into singlane freeways with mixed traffic flows and merging into multilane freeways.Findings–Relevant literature is reviewed regarding the required technologies,control decision level,applied methods and impacts on traffic performance.More importantly,the authors identify the existing research gaps and provide insightful discussions on the potential and promising directions for future research based on the review,which facilitates further advancement in this research topic.Originality/value–Many strategies based on the communication and automation capabilities of CAVs have been developed over the past decades,devoted to facilitating the merging/lane-changing maneuvers at freeway on-ramps.Despite the significant progress made,an up-to-date review covering these latest developments is missing to the authors’best knowledge.This paper conducts a thorough review of the cooperation/coordination strategies that facilitate freeway on-ramp merging using CAVs,focusing on the latest developments in this field.Based on the review,the authors identify the existing research gaps in CAV ramp merging and discuss the potential and promising future research directions to address the gaps.Jie Zhu Said Easa Kun Gao 2022Journal of Intelligent and Connected Vehicles2022,5,2:1
5rapidly adapting lateral position handler显示文摘Ralph D P 1995Symposium on Intelligent Vehicles1995,9,:1
6Reducing energy consumption of vehicle air conditioning system by an energy management system显示文摘Hamid Khayyam Abbs Z Kouzani Eric J Hu 2009IEEE Intelligent Vehicles Symposium2009,9,3:1
7Optimal charging plan for electric bus considering time-of-day electricity tariff显示文摘Purpose–The purpose of this study is to develop an optimization method for charging plans with the implementation of time-of-day(TOD)electricity tariff,to reduce electricity bill.Design/methodology/approach–Two optimization models for charging plans respectively with fixed and stochastic trip travel times are developed,to minimize the electricity costs of daily operation of an electric bus.The charging time is taken as the optimization variable.The TOD electricity tariff is considered,and the energy consumption model is developed based on real operation data.An optimal charging plan provides charging times at bus idle times in operation hours during the whole day(charging time is 0 if the bus is not get charged at idle time)which ensure the regular operation of every trip served by this bus.Findings–The electricity costs of the bus route can be reduced by applying the optimal charging plans.Originality/value–This paper produces a viable option for transit agencies to reduce their operation costs.Yuhan Liu Linhong Wang Ziling Zeng Yiming Bie 2022Journal of Intelligent and Connected Vehicles2022,5,2:1
8Depth Finder,a Real-time Depth Detection System for Aided Driving显示文摘 Chen J Crossman J 2000Proceedings of the IEEE Intelligent Vehicles Symposium2000,10,1:1
9Battery electric buses charging schedule optimization considering time-of-use electricity price显示文摘Purpose–This paper aims to optimize the charging schedule for battery electric buses(BEBs)to minimize the charging cost considering the time-ofuse electricity price.Design/methodology/approach–The BEBs charging schedule optimization problem is formulated as a mixed-integer linear programming model.The objective is to minimize the total charging cost of the BEB fleet.The charge decision of each BEB at the end of each trip is to be determined.Two types of constraints are adopted to ensure that the charging schedule meets the operational requirements of the BEB fleet and that the number of charging piles can meet the demand of the charging schedule.Findings–This paper conducts numerical cases to validate the effect of the proposed model based on the actual timetable and charging data of a bus line.The results show that the total charge cost with the optimized charging schedule is 15.56%lower than the actual total charge cost under given conditions.The results also suggest that increasing the number of charging piles can reduce the charging cost to some extent,which can provide a reference for planning the number of charging piles.Originality/value–Considering time-of-use electricity price in the BEBs charging schedule will not only reduce the operation cost of electric transit but also make the best use of electricity resources.Jia He Na Yan Jian Zhang Yang Yu Tao Wang 2022Journal of Intelligent and Connected Vehicles2022,5,2:1
10Stereo vision-based feature extraction forVehicle Detection显示文摘Bnsrhair A Bertozzi A 2002Intelligent Vehicle Symposium2002,,2:1
11Experimental evaluation of a novel vehicular communication paradigm based on cellular networks显示文摘Santa J Moragon A Comes-Skanneta A F 2008Intelligent Vehicles Symposium2008,46,:1
12Field Evaluation of Weigh-in-motion Screening on Truck Weigh Station Operations 显示文摘RAKHA H KATZ B AI-KAISY A 2003IEEE Intelligent Vehicle Symposium2003,,6:1
13A feature-based recognition scheme for traffic scenes显示文摘Parodi P Piccioli G 1995IEEE Intelligent Vehicles1995,,:1
14Model based vehicle detection for intelligent vehicles 显示文摘C0IIAD0J M HELAKIO C A ESCALERA J 2011Intelligent Vehicles Sympo-sium2011,24,2:1
15Driver route choice behavior: Experiences, perceptions, and choices显示文摘Tawfik A M Rakha H A Miller S D 2010Intelligent Vehicles Symposium (IV)2010,,:1
16A Novel Lane Detection Based on Geometrical Model and Gabor Filter显示文摘Sheng yan Zhou Yan hua Jiang Jun qiang Xi 2010lEEE Proceedings of the Intelligent Vehicles Symposium2010,,1:1
17Real-time estimation and tracking of optical flow vectors for obstacle detection 显示文摘Kruger W Enkelmann W 1995Intelligent Vehicle1995,8,5:1
18Error detection capabilities of automotive network technol ogies and Ethernet a comparative Study显示文摘RAHMANI M HINTERMAIER W RATHGEBER B M 2007IEEE Intelligent Vehicles Symposium2007,13,15:1
19The parking lot management system with recognizing a license plate automatically显示文摘Imai T 1995Vehicle Road &Traffic Intelligence Soc1995,5,11:1
20Robust road marking extraction in urban environments using stereo images显示文摘SEBSADJI Y TAREL J FOUCHER P 2010IEEE Intelligent Vehicles Symposium2010,,:1
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