【摘要】：研究城市交通場景真實性問題,車載自組織網(wǎng)(VANET)是應(yīng)用于車輛間通信的特殊移動自組織網(wǎng)絡(luò),節(jié)點的移動需要考慮諸多交通因素的限制,其中車流速度,道路結(jié)構(gòu),十字路口,交通燈管理,多車道換道等因素對網(wǎng)絡(luò)協(xié)議性能影響較大,為了準確的反應(yīng)城市交通場景以及車輛節(jié)點移動特性,通過實現(xiàn)優(yōu)化的智能駕駛模型IDM,并結(jié)合市區(qū)衛(wèi)星地圖構(gòu)建真實的城市道路拓撲場景,利用NS2網(wǎng)絡(luò)仿真平臺,對比評估了不同車流移動速度,不同節(jié)點移動模型下的交通場景對網(wǎng)絡(luò)協(xié)議性能的影響。分析認為引入優(yōu)化的智能駕駛模型特性,反應(yīng)城市交通環(huán)境下車輛節(jié)點的運動更具真實性,更適合于VANET仿真研究,為提高車輛運行效率提供了依據(jù)。
[Abstract]:To study the authenticity of urban traffic scene, vehicle-borne ad hoc network (VANET) is a special mobile ad hoc network used in inter-vehicle communication. The mobility of nodes needs to consider the limitations of many traffic factors, including vehicle flow speed, road structure, crossroads. Traffic light management, multi-lane change and other factors have a great impact on the performance of network protocol, in order to accurately reflect the urban traffic scene and vehicle node movement characteristics, Through realizing the optimized intelligent driving model IDM and combining with the urban satellite map to construct the real urban road topology scene, using NS2 network simulation platform, the paper compares and evaluates the different moving speed of traffic flow. The influence of traffic scenarios on the performance of network protocols under different node mobility models. It is concluded that the characteristics of intelligent driving model can reflect the movement of vehicle nodes in urban traffic environment, which is more realistic and more suitable for VANET simulation research, which provides a basis for improving the efficiency of vehicle operation.
【作者單位】： 蘭州理工大學(xué)計算機與通信學(xué)院;蘭州理工大學(xué)經(jīng)濟管理學(xué)院;
【基金】：國家自然科學(xué)基金(51161011) 甘肅省科技支撐計劃(1204GKCA065) 蘭州市科技計劃項目(2013-3-104)
【分類號】：U491

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