文中针对现有自动化集装箱码头车辆通行交汇区域车流混乱、交通拥堵等问题,在传统交通控制方法的基础上提出了一种自动化码头水平运输智能闸口控制方法。基于码头交通实际情况,制定了堆场区域运输车辆智能通行策略,该策略实行多优先级...文中针对现有自动化集装箱码头车辆通行交汇区域车流混乱、交通拥堵等问题,在传统交通控制方法的基础上提出了一种自动化码头水平运输智能闸口控制方法。基于码头交通实际情况,制定了堆场区域运输车辆智能通行策略,该策略实行多优先级管控方法,在优先保障港内ART(Artificial Intelligence Robot of Transportation)通行的前提下,合理调度外集卡通行。最后以某集装箱码头为例,利用Anylogic软件构建仿真模型,对智能闸口控制方法进行性能评估。仿真结果显示,与传统闸口控制方法相比,智能闸口能有效减少车辆排队数量及排队时间,改善堆场拥堵情况,具有良好的实际应用价值。展开更多
提出一种基于移动互联网的创新高速公路收费模式,即高速公路智能通行预收费系统(Expressway Internet Payment System),以下简称EIPS系统.该系统基于移动互联信息技术、地理信息技术,帮助用户实现出行路径的提前规划、收费路径的提前在...提出一种基于移动互联网的创新高速公路收费模式,即高速公路智能通行预收费系统(Expressway Internet Payment System),以下简称EIPS系统.该系统基于移动互联信息技术、地理信息技术,帮助用户实现出行路径的提前规划、收费路径的提前在线计费、支付;结合车牌识别、GPS/北斗路径追踪定位等技术,帮助用户实现在高速公路收费口的通行费预支付验证、不停车通行.该系统的应用提供了一种高速公路收费的创新模式,可减少车辆在高速公路收费口的排队等待时间,提高高速公路出入口的通行效率,改善高速公路整体的通行效率.展开更多
Vehicle traveling time prediction is an important part of the research of intelligent transportation system. By now, there have been various kinds of methods for vehicle traveling time prediction. But few consider bot...Vehicle traveling time prediction is an important part of the research of intelligent transportation system. By now, there have been various kinds of methods for vehicle traveling time prediction. But few consider both aspects of time and space. In this paper, a vehicle traveling time prediction method based on grey theory （GT） and linear regression analysis （LRA） is presented. In aspects of time, we use the history data sequence of bus speed on a certain road to predict the future bus speed on that road by GT. And in aspects of space, we calculate the traffic affecting factors between various roads by LRA. Using these factors we can predict the vehicle＇s speed at the lower road if the vehicle＇s speed at the current road is known. Finally we use time factor and space factor as the weighting factors of the two results predicted by GT and LRA respectively to find the final result, thus calculating the vehicle＇s traveling time. The method also considers such factors as dwell time, thus making the prediction more accurate.展开更多
文摘文中针对现有自动化集装箱码头车辆通行交汇区域车流混乱、交通拥堵等问题,在传统交通控制方法的基础上提出了一种自动化码头水平运输智能闸口控制方法。基于码头交通实际情况,制定了堆场区域运输车辆智能通行策略,该策略实行多优先级管控方法,在优先保障港内ART(Artificial Intelligence Robot of Transportation)通行的前提下,合理调度外集卡通行。最后以某集装箱码头为例,利用Anylogic软件构建仿真模型,对智能闸口控制方法进行性能评估。仿真结果显示,与传统闸口控制方法相比,智能闸口能有效减少车辆排队数量及排队时间,改善堆场拥堵情况,具有良好的实际应用价值。
文摘提出一种基于移动互联网的创新高速公路收费模式,即高速公路智能通行预收费系统(Expressway Internet Payment System),以下简称EIPS系统.该系统基于移动互联信息技术、地理信息技术,帮助用户实现出行路径的提前规划、收费路径的提前在线计费、支付;结合车牌识别、GPS/北斗路径追踪定位等技术,帮助用户实现在高速公路收费口的通行费预支付验证、不停车通行.该系统的应用提供了一种高速公路收费的创新模式,可减少车辆在高速公路收费口的排队等待时间,提高高速公路出入口的通行效率,改善高速公路整体的通行效率.
基金the National Natural Science Foundation of China (No. 50575145)the National High Technology Research and Development Program (863) of China(Nos. 2006AA04Z432 and 2007AA04Z419)
文摘Vehicle traveling time prediction is an important part of the research of intelligent transportation system. By now, there have been various kinds of methods for vehicle traveling time prediction. But few consider both aspects of time and space. In this paper, a vehicle traveling time prediction method based on grey theory （GT） and linear regression analysis （LRA） is presented. In aspects of time, we use the history data sequence of bus speed on a certain road to predict the future bus speed on that road by GT. And in aspects of space, we calculate the traffic affecting factors between various roads by LRA. Using these factors we can predict the vehicle＇s speed at the lower road if the vehicle＇s speed at the current road is known. Finally we use time factor and space factor as the weighting factors of the two results predicted by GT and LRA respectively to find the final result, thus calculating the vehicle＇s traveling time. The method also considers such factors as dwell time, thus making the prediction more accurate.
