客户动态变更配送需求的配送路线优化研究

针对物流配送途中客户动态变更配送需求问题,分别研究了满足客户临时变更收货时间窗、收货地址和取消收货的三种要求时所需成本相较于预先设计配送路径所需成本的波动值,建立了客户临时变更配送需求的动态管理模型.基于嵌套分割算法,设计了邻近救援策略、最佳离库策略、增派车辆策略对模型进行求解.最后,通过算例试验,证明模型可以有效的降低物流配送成本,且具有更强的实用性、灵活性,且嵌套分割算法还在数据优化、计算时间上有显著成效.     

基于物联网的智能安全管理系统设计与实现

为构建未来智慧型城区形态,提出一种新理念的社区管理——智慧社区,拟设计一种基于物联网技术的区域性智能安全管理系统,以RFID技术为核心支撑技术,主要是针对人员、车辆、物资的综合管控系统(RFID管控系统),该RFID管控系统是面向封闭式或社区式的特定管控区域,对所有进出区域的人员、车辆和物资的身份信息和状态信息实现全面感知,并在统一的监控平台上实现对上述人员、车辆及物资的综合管控。同时,系统具备可扩展性,为未来的扩充应用预留接口。     

地铁无线集群系统与信号、车辆之间的联调

在轨道交通中,无线集群系统主要为行车调度和列车司机之间提供无线调度指挥功能,其与信号系统和车辆广播系统的接口调试显得较为重要。信号系统可以为无线行车调度台提供便捷、清晰的显示方式,而一旦列车发生火灾等特殊情况,行车调度可能需要对列车进行广播,进行紧急疏散,本文主要介绍了地铁无线集群系统与信号、车辆之间的联调。     

An Overview of Internet of Vehicles

The new era of the Internet of Things is driving the evolution of conventional Vehicle Ad-hoc Networks into the lnternet of Vehicles （IoV）. With the rapid development of computation and communication technologies, loV promises huge commercial interest and research value, thereby attracting a large number of companies and researchers. This paper proposes an abstract network model of the IoV, discusses the technologies required to create the IoV, presents different applications based on certain currently existing technologies, provides several open research challenges and describes essential future research in the area of loV.     

A Location Privacy Preserving Solution to Resist Passive and Active Attacks in VANET

Existing location privacy- preserving methods, without a trusted third party, cannot resist conspiracy attacks and active attacks. This paper proposes a novel solution for location based service （LBS） in vehicular ad hoc network （VANET）. Firstly, the relationship among anonymity degree, expected company area and vehicle density is discussed. Then, a companion set F is set up by k neighbor vehicles. Based on secure multi-party computation, each vehicle in V can compute the centroid, not revealing its location to each other. The centroid as a cloaking location is sent to LBS provider （P） and P returns a point of interest （POI）. Due to a distributed secret sharing structure, P cannot obtain the positions of non-complicity vehicles by colluding with multiple internal vehicles. To detect fake data from dishonest vehicles, zero knowledge proof is adopted. Comparing with other related methods, our solution can resist passive and active attacks from internal and external nodes. It provides strong privacy protection for LBS in VANET.     

Explicit Rate Based Transmission Control Scheme in Vehicle-to-lnfrastructure Communication Networks

In Vehicle-to-Infrastructure （V2I） communication networks, mobile users are able to access Internet services, such as video stre- aming, digital map downloading, database acc- ess, online gaming, and even safety services like accident alarm, traffic condition broadcast, etc., through fixed roadside units. However, the dynamics of communication environment and frequent changing topology critically challe- nge the design of an efficient transport layer protocol, which makes it difficult to guarantee diverse Quality of Service （QoS） requirements for various applications. In this paper, we pre- sent a novel transport layer scheme in infra- structure based vehicular networks, and aim to resolve some challenging issues such as sou- rce transfer rate adjustment, congestion avoid- ance, and fairness. By precisely detecting pac- ket losses and identifying various causes of th- ese losses （for example, link disconnection, cha- nnel error, packet collision, buffer overflow）, the proposed scheme adopts different reacting mechanisms to deal with each of the losses. Moreover, it timely monitors the buffer size of the bottleneck Road-Side Unit （RSU）, and dyn- amically makes transfer rate feedbacks to sou- rce nodes to avoid buffer overflow or vacancy. Finally, analysis and simulation results show that the proposed scheme not only successfully reduces packet losses because of buffer over- flow and link disconnection but also improves the utilization efficiency of channel resource.     

考虑拥堵路况下碳排放的选址-配送集成优化问题

供应链网络的运输过程是碳排放的主要来源之一,道路拥堵、配送距离和车辆载重等因素会影响碳排放量,本文研究考虑拥堵路况下碳排放的选址-配送集成优化问题。根据车辆行驶状态定义道路拥堵情况,以不同时段下拥堵概率和预期拥堵距离作为路况决定因素,构建碳排放量和经济成本都最小的两目标模型。设计改进的非支配排序遗传算法(NSGA-II)求解模型获得Pareto解集。以环境问题较重的北京和天津为中心构建供应链网络作为算例,验证了模型和算法的有效性和可行性。实验结果给出了不同偏好下供应链网络的构建方案,并对不同时段下决定路况的拥堵概率和预期拥堵距离以及车辆载重进行灵敏度分析。实验结果表明,相对于高速公路,城市道路不同时段对碳排放量影响更敏感。     

出租车多人合乘匹配问题的研究

针对城市出租车搭载乘客少、资源大量浪费、造成道路拥堵等情况,引入了几人合乘一辆出租车的运营模式,建立相应的数学模型,从出租车司机和乘客的共同利益出发,设计一种两段的匹配算法,规划最优的行车路线,以较少的花费和代价,满足尽可能多的乘客搭乘用需求。     

以商圈为中心的O2O动态外卖配送路径优化模型与算法

针对线上到线下(Online to Offline,O2O) 外卖路径优化问题,综合考虑其动态配送需求、货物区分等特点以及时间窗、载货量等约束条件,将商圈看作配送中心,将快递员数量与快递员总行驶时间作为最小化目标,提出了以商圈为中心的O2O动态外卖配送路径优化模型。采用周期性处理新订单的方法将相应的快递员路径的动态调整问题转化为一系列静态TSP子问题,设计了一种分阶段启发式实时配送路径优化算法框架,并给出了一个具体算法和一个数值计算实例。在VRP通用算例的基础上,以商圈为中心生成测试算例,对本文算法进行仿真实验,并与其他算法比较。结果表明：本文算法能充分利用新订单附近的快递员进行配送,并优化其配送路径,有效减少了快递员数量与快递员总行驶时间。     

瓶颈处车辆横纵向行为建模与分析

车辆的横向偏移现象在现实的交通流中广泛存在, 交通瓶颈处的横向偏移现象往往更加显著. 车辆间横纵向的运动相互干扰, 使得瓶颈交通流组织十分混乱, 通行能力受到显著影响. 为了研究瓶颈处车辆横纵向行为规律及其对交通流的影响, 提出一个考虑横向偏移特征的车辆行为模型: 通过引入目标转向角概念,并结合经典优化速度模型, 给出了用于描述车辆的横纵向运动规律的运动方程, 同时通过分析车辆横向偏移特征, 制定了基于车辆行驶状态划分的目标转向角确定规则集. 数值模拟结果表明: 车辆的横向偏移会对交通流的运行产生影响, 在一定的横向偏移反应阈值下, 瓶颈处横向干扰于交通流的影响随着密度的增加而增加; 同时观察到了实际城市交通瓶颈的宏观及微观现象, 验证了模型的有效性. 关键词： 交通流 瓶颈 车辆行为 横向偏移特征