应用科技
應用科技
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YING YONG KE JI
2015年
4期
43-47
,共5页
智能交通诱导%动态路网模型%动态交通信息%能耗最优路径%改进蚁群算法
智能交通誘導%動態路網模型%動態交通信息%能耗最優路徑%改進蟻群算法
지능교통유도%동태로망모형%동태교통신식%능모최우로경%개진의군산법
intelligent traffic guidance%dynamic road network model%dynamic traffic information%energy consump-tion optimal route%improved ant colony algorithm
针对智能交通诱导中出行者路径选择以及汽车能耗问题，对路网模型及能耗最优路径进行了研究。在传统图论方法基础上建立动态路网模型，细化路段和交叉口处的动态信息，加入交叉口处排队车辆数及排队等待时间；并分别计算路段和交叉口处匀速及怠速时的汽车行驶能耗，进而建立了能耗最优路径诱导模型；再将能耗融入到蚁群算法的信息素更新规则中，用改进后的蚁群算法进行实验仿真。仿真结果验证了动态路网模型的有效性，得到的能耗最优路径能够有效减少行程内10％左右的能耗，达到节能减排的目的，符合实际需求。
針對智能交通誘導中齣行者路徑選擇以及汽車能耗問題，對路網模型及能耗最優路徑進行瞭研究。在傳統圖論方法基礎上建立動態路網模型，細化路段和交扠口處的動態信息，加入交扠口處排隊車輛數及排隊等待時間；併分彆計算路段和交扠口處勻速及怠速時的汽車行駛能耗，進而建立瞭能耗最優路徑誘導模型；再將能耗融入到蟻群算法的信息素更新規則中，用改進後的蟻群算法進行實驗倣真。倣真結果驗證瞭動態路網模型的有效性，得到的能耗最優路徑能夠有效減少行程內10％左右的能耗，達到節能減排的目的，符閤實際需求。
침대지능교통유도중출행자로경선택이급기차능모문제，대로망모형급능모최우로경진행료연구。재전통도론방법기출상건립동태로망모형，세화로단화교차구처적동태신식，가입교차구처배대차량수급배대등대시간；병분별계산로단화교차구처균속급태속시적기차행사능모，진이건립료능모최우로경유도모형；재장능모융입도의군산법적신식소경신규칙중，용개진후적의군산법진행실험방진。방진결과험증료동태로망모형적유효성，득도적능모최우로경능구유효감소행정내10％좌우적능모，체도절능감배적목적，부합실제수구。
To solve the problem of the traveler route choice and energy consumption in intelligent traffic route guid-ance, a dynamic road network model was established based on the traditional graph theory methods.This model de-scribed the dynamic information of road segments and intersections, with the relationship between the number of queuing vehicles and the queue waiting time.The energy consumptions of vehicles moving at even and idle speed on the roads and intersections was calculated, respectively.Then the energy consumption optimal route guidance model was suggested, and the energy consumption was integrated to the pheromone updating rule of an ant colony algo-rithm;then simulation was carried out by the improved ant colony algorithm.The simulation results show that the dynamic road network model is effective.In addition, the derived optimum route of energy consumption can effec-tively reduce the vehicle energy consumption in the travel, which saves about 10%energy compared with the static road network.
