共查询到20条相似文献，搜索用时 46 毫秒
1.
2.
为使“互联网+”对交通运输经济充分发挥作用,优化交通运输资源,满足社会生产生活需求,以“互联网+”对交通运输经济的影响以及当前交通运输产业现状为切入点,针对“互联网+”时代交通运输经济的发展进行分析与探讨,希望可以为相关从业人员起到一定借鉴价值。 相似文献
3.
为改变目前我国道路信号配时方案与实际交通流不匹配的情况,提高道路交叉口的通行能力,增加绿灯的使用率,提出基于Python与Tensorflow的交通信号决策系统。介绍交通信号决策系统的整体框架及各个模块的层次关系,详细说明每部分的原理及实现方法。通过Python在互联网上实现实时交通数据自动采集,将搜集的数据分类存储。采用TensorFlow框架建立车速预测模型,通过机器学习不断调整优化模型。根据优化后的车速模型预测未来交通流状态变化趋势,交通信号决策系统能够在不同的交通流状态下自适应决策采取不同的绿波信号配时方案。通过VISSIM仿真结果表明,交通信号决策系统能够显著降低道路的拥堵程度,有效降低了道路机动车的停车次数和停车延误,极大地提高路网的运行效率,增大区域协调控制系统的自动化。 相似文献
4.
为了提升交通收费站的会计核算质量和财务工作效率,通过更贴合时代发展的改革方式,使得交通收费站会计核算和财务管理的模式得到创新,阐释交通收费站会计核算和财务管理的要求,深入分析“互联网+”时代会计核算和财务管理工作的变化,制定出更具有可行性的措施,在信息时代背景下实现交通收费站会计核算和财务管理方面工作的创新。 相似文献
5.
6.
7.
国家交通强国战略实施和交通新基建新政策推行,为"人工智能+交通"发展带来机遇。"人工智能+交通"将有助于交通部门或企业提供精准服务,降低监管成本,提升全社会交通资源使用效率。通过阐述"人工智能+交通"的三大应用场景,分析广西钦州市"人工智能+交通"的治理实例,提出了以加快科技与交通运输管理的深度融合不断提升交通运输智能化建设和治理水平的建议。 相似文献
8.
9.
交通运输经济在社会经济发展中起着关键作用,随着科技的发展,我国的经济开始向个性化和服务化的方向发展,特别是“互联网+”模式的出现,对交通运输行业产生了深远的影响。因此,需要更好地利用“互联网+”积极改善和优化传统的交通运输行业,以适应现实需求。基于此,首先对交通运输经济发展的意义进行阐述;其次,探究“互联网+”对交通运输经济发展带来的影响;最后对基于“互联网+”的交通运输经济发展策略进行研究,希望为基于“互联网+”的交通运输经济发展提供参考。 相似文献
10.
11.
12.
13.
This paper presents a traffic control system that can work standalone to handle various boundary conditions of the recurrent, non-recurrent congestion, transit signal priority and downstream blockage conditions to improve the overall traffic network vehicular productivity and efficiency. The control system uses field detectors’ data to determine the boundary conditions of all incoming and exit links. The developed system is interfaced with CORSIM micro-simulation for rigorous evaluations with different types of signal phase settings. The comparative performance of this control logic is quite satisfactory for some of the most frequently used phase settings in the network with a high number of junctions under highly congested conditions. 相似文献
14.
Research on using high-resolution event-based data for traffic modeling and control is still at early stage. In this paper, we provide a comprehensive overview on what has been achieved and also think ahead on what can be achieved in the future. It is our opinion that using high-resolution event data, instead of conventional aggregate data, could bring significant improvements to current research and practices in traffic engineering. Event data records the times when a vehicle arrives at and departs from a vehicle detector. From that, individual vehicle’s on-detector-time and time gap between two consecutive vehicles can be derived. Such detailed information is of great importance for traffic modeling and control. As reviewed in this paper, current research has demonstrated that event data are extremely helpful in the fields of detector error diagnosis, vehicle classification, freeway travel time estimation, arterial performance measure, signal control optimization, traffic safety, traffic flow theory, and environmental studies. In addition, the cost of event data collection is low compared to other data collection techniques since event data can be directly collected from existing controller cabinet without any changes on the infrastructure, and can be continuously collected in 24/7 mode. This brings many research opportunities as suggested in the paper. 相似文献
15.
文章以重庆市道路交通为例,从特殊地理环境因素、城市道路管理及城市规划等方面分析了山区城市道路交通拥挤的原因,并基于道路因素,从城市道路规划和整合建筑与交通空间方面提出了缓解交通拥堵的措施和建议。 相似文献
16.
为从宏观上了解交通事故的研究态势,利用文献计量法对WOS数据库收录的474篇文献进行数据可视化分析。研究发现,发文量历经了零阶段、稳定阶段和上升阶段;中国研究机构数量和发文量都位于世界第一;研究领域形成了由122位作者组成的核心作者群体;研究方向经历了以交通参与者、道路交通事故、交通事故安全为研究目的的变化;关键词分析得出该领域未来的研究热点将集中在交通事故安全、交通事故严重程度及交通事故影响三方面。 相似文献
17.
近年来随着小汽车保有量的不断增多,机动车尾气成为碳排放的主要组成部分。文中以信号灯控制交叉口运行的小汽车为研究对象,通过研究小汽车在交叉口减速、怠速、加速三种工况下车辆的排放特性,将信号灯交叉口小汽车温室气体排放量量化。本文以台州市市府大道-中心大道交叉口为例,通过实地调查该交叉口当前平峰期和高峰期信号灯配时特性、交通运行特性等实际参数,对二氧化碳排放量进行测算,最终得出该交叉口在平峰期和高峰期的二氧化碳小时排放量,为后续该交叉口采取优化策略后在碳排放指标方面的量化效果提供参考依据,同时为台州市信号灯交叉口碳排放量测算提供参考方法。 相似文献
18.
城市的交通状态是可以预测的。有效的交通状态预测能优化交通状态,减少交通阻塞。贝叶斯网络(Bayesian Networks,BN)是目前不确定知识和推理领域最有效的理论模型之一。文章在综合考虑交通阻塞成因的基础上构建网络模型,在已有的交通状态数据的基础上提出基于贝叶斯法则的学习算法,并通过计算变量间的条件概率来计算交通阻塞发生的可能性,达到预测的目的。 相似文献
19.
In this paper, a novel freeway traffic speed estimation method based on probe data is presented. In contrast to other traffic speed estimators, it only requires velocity data from probes and does not depend on any additional data inputs such as density or flow information. In the first step the method determines the three traffic phases free flow, synchronized flow, and Wide Moving Jam (WMJ) described by Kerner et al. in space and time. Subsequently, reported data is processed with respect to the prevailing traffic phase in order to estimate traffic velocities. This two-step approach allows incorporating empirical features of phase fronts into the estimation procedure. For instance, downstream fronts of WMJs always propagate upstream with approximately constant velocity, and downstream fronts of synchronized flow phases usually stick to bottlenecks. The second step assures the validity of measured velocities is limited to the extent of its assigned phase. Effectively, velocity information in space-time can be estimated more distinctively and the result is therefore more accurate even if the input data density is low.The accuracy of the proposed Phase-Based Smoothing Method (PSM) is evaluated using real floating car data collected during two traffic congestions on the German freeway A99 and compared to the performance of the Generalized Adaptive Smoothing Method (GASM) as well as a naive algorithm. The quantitative and qualitative results show that the PSM reconstructs the congestion pattern more accurately than the other two. A subsequent analysis of the computational efficiency and sensitivity demonstrates its practical suitability. 相似文献
20.
Both coordinated-actuated signal control systems and signal priority control systems have been widely deployed for the last few decades. However, these two control systems are often conflicting with each due to different control objectives. This paper aims to address the conflicting issues between actuated-coordination and multi-modal priority control. Enabled by vehicle-to-infrastructure (v2i) communication in Connected Vehicle Systems, priority eligible vehicles, such as emergency vehicles, transit buses, commercial trucks, and pedestrians are able to send request for priority messages to a traffic signal controller when approaching a signalized intersection. It is likely that multiple vehicles and pedestrians will send requests such that there may be multiple active requests at the same time. A request-based mixed-integer linear program (MILP) is formulated that explicitly accommodate multiple priority requests from different modes of vehicles and pedestrians while simultaneously considering coordination and vehicle actuation. Signal coordination is achieved by integrating virtual coordination requests for priority in the formulation. A penalty is added to the objective function when the signal coordination is not fulfilled. This “soft” signal coordination allows the signal plan to adjust itself to serve multiple priority requests that may be from different modes. The priority-optimal signal timing is responsive to real-time actuations of non-priority demand by allowing phases to extend and gap out using traditional vehicle actuation logic. The proposed control method is compared with state-of-practice transit signal priority (TSP) both under the optimized signal timing plans using microscopic traffic simulation. The simulation experiments show that the proposed control model is able to reduce average bus delay, average pedestrian delay, and average passenger car delay, especially for highly congested condition with a high frequency of transit vehicle priority requests. 相似文献