發(fā)布時(shí)間：2018-01-24 05:47

  本文關(guān)鍵詞： 車輛導(dǎo)航系統(tǒng) 智能交通系統(tǒng) 車輛選路問(wèn)題 路徑規(guī)劃 車聯(lián)網(wǎng)　出處：《計(jì)算機(jī)學(xué)報(bào)》2017年07期 　論文類型：期刊論文

【摘要】：隨著智能導(dǎo)航設(shè)備的不斷普及,越來(lái)越多的駕駛員使用智能導(dǎo)航設(shè)備來(lái)選擇自己的行駛路徑.現(xiàn)有的選路方法往往采用城市道路地理信息、歷史行駛信息以及交通信息中心提供的實(shí)時(shí)交通狀態(tài)來(lái)進(jìn)行路徑的規(guī)劃.而城市車輛數(shù)目增加使得車輛間的相互作用逐漸成為了影響車輛行駛時(shí)間的主要因素之一,現(xiàn)有的選路方法已經(jīng)無(wú)法滿足現(xiàn)今城市的導(dǎo)航需求.因此有必要設(shè)計(jì)一種能夠考慮選路車輛間相互作用的新型選路算法來(lái)應(yīng)對(duì)這種新的變化.該文首先對(duì)車輛運(yùn)動(dòng)過(guò)程中的相互作用進(jìn)行了研究,并量化了車輛選路行為對(duì)其他車輛的影響,進(jìn)而提出了一種車聯(lián)網(wǎng)環(huán)境下的城市車輛協(xié)同選路方法(Collaborative Route Planning,CoRP).該方法通過(guò)收集并分析聯(lián)網(wǎng)車輛的行駛規(guī)劃信息,在為車輛提供更適用于實(shí)際交通情況的路徑規(guī)劃方案的同時(shí)減少車輛選路行為對(duì)其它車輛帶來(lái)的負(fù)面影響.仿真實(shí)驗(yàn)表明,相較于現(xiàn)有的選路方法,該方法能夠提升城市車輛選路的協(xié)同性,降低了18%~30%的道路最大滯留車輛數(shù)目,并減少了14%~29%的車輛整體行駛時(shí)間開銷,在很大程度上改善了城市道路擁塞的情況.
[Abstract]:With the increasing popularity of intelligent navigation devices, more and more drivers use intelligent navigation devices to choose their own driving path. The existing route selection methods often use urban road geographic information. The historical driving information and the real-time traffic state provided by the traffic information center are used to plan the route. The increase in the number of vehicles in cities makes the interaction between vehicles become one of the main factors that influence the driving time of vehicles. One. The existing routing methods can no longer meet the navigation needs of today's cities. Therefore, it is necessary to design a new routing algorithm that can take into account the interaction between road pickers and vehicles to cope with this new change. The interaction in the dynamic process is studied. The influence of vehicle routing behavior on other vehicles is quantified. Furthermore, a collaborative Route Planning method for urban vehicle routing in networked environment is proposed. This method collects and analyzes the driving planning information of networked vehicles. At the same time, it can reduce the negative effect of the vehicle routing behavior on other vehicles. The simulation results show that compared with the existing routing methods. This method can improve the coordination of urban vehicle routing, reduce 18% of the maximum number of vehicles stranded on the road, and reduce the total travel time cost of 14% or 29% of the vehicle. To a large extent, the congestion of urban roads has been improved.
【作者單位】： 武漢大學(xué)軟件工程國(guó)家重點(diǎn)實(shí)驗(yàn)室;武漢大學(xué)計(jì)算機(jī)學(xué)院;華中師范大學(xué)計(jì)算機(jī)學(xué)院;
【基金】：國(guó)家自然科學(xué)基金項(xiàng)目(61472287,61572370) 湖北省自然科學(xué)基金重點(diǎn)項(xiàng)目(2015CFA068) 武漢市科技計(jì)劃項(xiàng)目(2016060101010047)資助~~
【分類號(hào)】：U495
【正文快照】： 項(xiàng)目(2015CFA068)、武漢市科技計(jì)劃項(xiàng)目(2016060101010047)資助.吳黎兵,男,1972年生,博士,教授,中國(guó)計(jì)算機(jī)學(xué)會(huì)(CCF)會(huì)員,主要研究領(lǐng)域?yàn)闊o(wú)線傳感器網(wǎng)絡(luò)、網(wǎng)絡(luò)管理、分布式計(jì)算等.E-mail:wu@whu.edu.cn.范靜,男,1989年生,博士研究生,主要研究方向?yàn)檐嚶?lián)網(wǎng)、分布式計(jì)算.聶雷,男

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