Transportation Research Part B-Methodological最新文献

英文中文

Network-wide adaptive signal control with partial connectivity: A stochastic optimization model for uncertain vehicle locations 具有部分连通性的全网络自适应信号控制：不确定车辆位置的随机优化模型

IF 6.8 1区工程技术 Q1 ECONOMICS

Transportation Research Part B-Methodological

Pub Date : 2026-02-10 DOI: 10.1016/j.trb.2026.103413

Shaocheng JIA, S.C. WONG, Wai WONG

引用次数: 0

A simulation heuristic for traveler- and vehicle-discrete dynamic traffic assignment 行人与车辆离散动态交通分配的模拟启发式算法

IF 6.8 1区工程技术 Q1 ECONOMICS

Transportation Research Part B-Methodological

Pub Date : 2026-02-05 DOI: 10.1016/j.trb.2026.103406

Gunnar Flötteröd

引用次数: 0

A smart predict-then-optimize framework for vehicle rebalancing problem 车辆再平衡问题的智能预测-优化框架

IF 6.8 1区工程技术 Q1 ECONOMICS

Transportation Research Part B-Methodological

Pub Date : 2026-02-05 DOI: 10.1016/j.trb.2026.103411

Yuhang Guo, Zicheng Su, Hai Yang, Enming Liang, Chen Zhong, Wanjing Ma

引用次数: 0

Drone routing problem for shore-to-ship delivery services considering non-linear energy consumption 考虑非线性能耗的岸到船配送无人机路径问题

IF 6.8 1区工程技术 Q1 ECONOMICS

Transportation Research Part B-Methodological

Pub Date : 2026-02-04 DOI: 10.1016/j.trb.2026.103410

Mengtong Wang, Shukai Chen, Qiang Meng

引用次数: 0

Hybrid optimal control of cooperative vehicle trajectories and traffic signals at intersections: A Benders decomposition-based algorithm 交叉口交通信号与协同车辆轨迹的混合最优控制：一种基于Benders分解的算法

IF 6.3 1区工程技术 Q1 ECONOMICS

Transportation Research Part B-Methodological

Pub Date : 2026-02-03 DOI: 10.1016/j.trb.2026.103407

Meiqi Liu , Xinwei Wang , Meng Wang

We put forward a hybrid optimal control approach for joint optimization of cooperative (automated) vehicle trajectories and traffic signals for an intersection configured with different turning movements on multiple arms. The ride comfort, travel time, and throughput involving all vehicles are optimized by continuous vehicle acceleration and discrete traffic signal switch decisions subject to vehicle motion constraints on following gaps, speeds, accelerations, and upper bounds on the maximal signal stage lengths. The red time is designed as a concise vehicle position constraint to enable simultaneous evaluation of traffic-level and vehicle-level decisions. To decrease the computational burden of the mixed integer nonlinear program, the joint control formulation of an intersection is linearized and then decomposed using the Benders decomposition algorithm, generating a sequence of independent slave sub-problems on a lane level that can be solved in a decentralized manner. The control performance is verified via simulation at a four-arm signalized intersection. The simulation results show the joint control approach is flexible in incorporating multiple signal settings (such as cycle lengths and dual-ring design) and turning movements under different traffic demand levels and vehicle arrival rates. Furthermore, the benefits of the proposed control approach and computationally scalable algorithm in mean runtimes and performance metrics of travel delay, throughput, fuel consumption, and emission are revealed by comparison with three baselines.

针对多臂不同转向动作的交叉路口，提出了一种协同（自动）车辆轨迹与交通信号联合优化的混合最优控制方法。通过车辆连续加速和离散交通信号切换决策来优化所有车辆的乘坐舒适性、行驶时间和吞吐量，这些决策受到车辆运动约束，包括跟随间隙、速度、加速度和最大信号阶段长度的上限。红色时间被设计为一个简洁的车辆位置约束，以便同时评估交通级和车辆级决策。为了减少混合整数非线性规划的计算量，首先对交叉口的联合控制公式进行线性化，然后利用Benders分解算法对其进行分解，在车道水平上生成一系列独立的从属子问题，这些子问题可以分散求解。通过四臂信号交叉口的仿真验证了控制性能。仿真结果表明，该联合控制方法在考虑不同交通需求水平和车辆到达率下的多种信号设置（如周期长度和双环设计）和转向运动方面具有灵活性。此外，通过与三个基线的比较，揭示了所提出的控制方法和计算可扩展算法在平均运行时间和运行延迟、吞吐量、油耗和排放等性能指标方面的优势。

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引用次数: 0

Dynamic deployment of pooled human-robot resources in urban parcel logistics 城市包裹物流中人机资源的动态调配

IF 6.3 1区工程技术 Q1 ECONOMICS

Transportation Research Part B-Methodological

Pub Date : 2026-01-30 DOI: 10.1016/j.trb.2026.103409

Yujia Xu , Walid Klibi , Benoit Montreuil

Parcel logistics services play a crucial and expanding role in global economies. In urban parcel logistics hubs, resources support relay-based activities and ensure parcels are sorted, consolidated, and dispatched onto outbound trucks by specific deadlines. In light of labor shortages in logistics hubs, recent developments have introduced autonomous mobile robots (AMRs) to enhance operational efficiency, enabling carriers to meet time-definite customer service guarantees. Emerging market dynamics, driven by increasing customer expectations for swift delivery across diverse product categories, address the importance of dynamic resource deployment to meet uncertainties of parcel arrivals and resource availability in urban hub networks. This paper focuses on a novel operational problem: dynamic multi-location, multi-resource scheduling and deployment in an urban parcel logistics network. It formulates this novel problem as a stochastic optimization problem and presents its main features. Given the inherent stochastic-combinatorial setting of the problem, the solution methodology proposes a reformulation in a two-stage stochastic model. It develops a rolling-horizon framework to solve it sequentially with updated states and new observations. It also designs a solution approach based on Sample Average Approximation (SAA), Benders decomposition enhanced by acceleration methods, and relax-and-fix heuristics, which can solve large-scale instances of a real-sized megacity. Numerical results, inspired by the case of a large parcel express carrier in China, are presented to evaluate the computational performance of the proposed approach. Our results indicate potential savings of approximately 19% in costs and 22% in resources compared to a static resource deployment strategy. Also, necessary workforce-robot hybrid resource deployment yields the highest cost saving, surpassing the workforce-only and robot-only scenarios by 5% and 3%, respectively.

包裹物流服务在全球经济中发挥着至关重要的作用。在城市包裹物流中心，资源支持以接力为基础的活动，并确保包裹在特定的期限内被分类、合并并发运到出站卡车上。考虑到物流中心的劳动力短缺，最近的发展引入了自主移动机器人（amr），以提高运营效率，使运营商能够满足特定时间的客户服务保证。由于客户对不同产品类别的快速交付的期望越来越高，新兴市场的动态解决了动态资源部署的重要性，以满足包裹到达和城市枢纽网络中资源可用性的不确定性。本文研究了城市包裹物流网络中动态多地点、多资源调度与部署的新问题。将该问题表述为随机优化问题，并给出了其主要特征。考虑到问题固有的随机组合设置，求解方法提出了一种两阶段随机模型的重新表述。它发展了一个滚动视界框架，用更新的状态和新的观测值来顺序地解决它。设计了一种基于样本平均近似（SAA）、基于加速方法增强的Benders分解和松弛修复启发式的求解方法，可以求解实际超大城市的大规模实例。以中国一家大型包裹快递公司为例，给出了数值结果来评估该方法的计算性能。我们的结果表明，与静态资源部署策略相比，潜在的成本节约大约19%，资源节约22%。此外，必要的劳动力-机器人混合资源部署产生了最高的成本节约，分别比仅使用劳动力和仅使用机器人的方案节省了5%和3%。

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引用次数: 0

Capturing stochastic variabilities in pedestrian flows: A dynamic continuum modeling approach 捕捉随机变化的行人流量：一个动态连续体建模方法

IF 6.3 1区工程技术 Q1 ECONOMICS

Transportation Research Part B-Methodological

Pub Date : 2026-01-27 DOI: 10.1016/j.trb.2026.103405

Zepeng Liu , Haoyang Liang , S.C. Wong , Chi-Wang Shu , Mengping Zhang

Stochastic phenomena are commonly observed in pedestrian flow. However, the existing models for pedestrian dynamics rely on averaged inputs and yield deterministic outputs only, and thereby fail to capture the stochastic variabilities inherent in pedestrian dynamics. This study builds upon Hughes’ dynamic continuum model to develop mathematical models for stochastic pedestrian dynamics that explicitly consider two types of stochastic characteristics: demand stochasticity and behavioral stochasticity. The proposed system, represented as a set of time-dependent stochastic partial differential equations, is solved using a combination of the Monte Carlo (MC) method or Quasi Monte Carlo (QMC) method and efficient numerical schemes, such as a fifth-order weighted essentially non-oscillatory finite difference scheme and the fast sweeping method. Benchmarking scenarios are designed and simulated, and the numerical results demonstrate the convergence and computational performance of the MC and QMC methods. The advantage of stochastic modeling is evident given the significant differences between the averaged stochastic outputs and deterministic outputs, attributable to the strength of stochasticity and extent of stochastic dimensions. Moreover, based on stochastic data inputs, the proposed stochastic models and numerical solutions can clarify the probabilistic distributions of key indicators, such as density, which are valuable for the design and improvement of pedestrian facilities.

随机现象在行人流中很常见。然而，现有的行人动力学模型依赖于平均输入，只产生确定性输出，因此无法捕捉行人动力学固有的随机可变性。本研究以Hughes的动态连续模型为基础，建立了随机行人动力学的数学模型，该模型明确考虑了两种随机特征：需求随机性和行为随机性。将蒙特卡罗（MC）方法或拟蒙特卡罗（QMC）方法与五阶加权本质非振荡有限差分格式和快速扫描方法等有效数值格式相结合，将所提出的系统表示为一组随时间变化的随机偏微分方程。设计和模拟了基准测试场景，数值结果证明了MC和QMC方法的收敛性和计算性能。随机建模的优势是显而易见的，因为平均随机输出和确定性输出之间存在显著差异，这可归因于随机性的强度和随机维度的范围。此外，基于随机数据输入，提出的随机模型和数值解能够明确密度等关键指标的概率分布，为行人设施的设计和改进提供参考。

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引用次数: 0

Extreme-scale EV charging infrastructure planning for last-mile delivery using high-performance parallel computing 基于高性能并行计算的超大规模电动汽车充电基础设施规划

IF 6.3 1区工程技术 Q1 ECONOMICS

Transportation Research Part B-Methodological

Pub Date : 2026-01-27 DOI: 10.1016/j.trb.2026.103403

Waquar Kaleem , Taner Cokyasar , Jeffrey Larson , Omer Verbas , Tanveer Hossain Bhuiyan , Anirudh Subramanyam

This paper addresses stochastic charger location and allocation problems under queue congestion for last-mile delivery using electric vehicles (EVs). The objective is to decide where to open charging stations and how many chargers of each type to install, subject to budgetary and waiting-time constraints. We formulate the problem as a mixed-integer non-linear program, where each station-charger pair is modeled as a multiserver queue with stochastic arrivals and service times to capture the notion of waiting in fleet operations. The model is extremely large, with billions of variables and constraints for a typical metropolitan area; even loading the model in solver memory is difficult, let alone solving it. To address this challenge, we develop a Lagrangian-based dual decomposition framework that decomposes the problem by station and leverages parallelization on high-performance computing systems, where the subproblems are solved by using a cutting plane method and their solutions are collected at the master level. We also develop a three-step rounding heuristic to transform the fractional subproblem solutions into feasible integral solutions. Computational experiments on data from the Chicago metropolitan area with hundreds of thousands of households and thousands of candidate stations show that our approach produces high-quality solutions in cases where existing exact methods cannot even load the model in memory. We also analyze various policy scenarios, demonstrating that combining existing depots with newly built stations under multiagency collaboration substantially reduces costs and congestion. These findings offer a scalable and efficient framework for developing sustainable large-scale EV charging networks.

研究了电动汽车最后一英里配送过程中排队拥堵情况下的随机充电桩位置与分配问题。目标是在预算和等待时间限制的情况下，决定在哪里开设充电站，以及安装哪种类型的充电器的数量。我们将问题表述为一个混合整数非线性程序，其中每个充电站对被建模为具有随机到达和服务时间的多服务器队列，以捕获车队操作中等待的概念。这个模型非常大，对于一个典型的大都市区来说，有数十亿个变量和约束；甚至在求解器内存中加载模型都很困难，更不用说求解了。为了应对这一挑战，我们开发了一个基于拉格朗日的对偶分解框架，该框架按工位分解问题，并利用高性能计算系统的并行化，其中子问题通过使用切割平面方法解决，并在主级别收集其解决方案。我们还开发了一个三步舍入启发式方法，将分数子问题解转化为可行的积分解。对芝加哥大都会地区数十万户家庭和数千个候选站点的数据进行的计算实验表明，在现有精确方法甚至无法在内存中加载模型的情况下，我们的方法产生了高质量的解决方案。我们还分析了各种政策情景，表明在多机构合作下，将现有的车站与新建的车站相结合，大大降低了成本和拥堵。这些发现为开发可持续的大规模电动汽车充电网络提供了一个可扩展和有效的框架。

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引用次数: 0

Reliability premium: A generic conceptual framework for evaluating the cost of travel time variability 可靠性溢价：评估旅行时间可变性成本的一般概念框架

IF 6.8 1区工程技术 Q1 ECONOMICS

Transportation Research Part B-Methodological

Pub Date : 2026-01-27 DOI: 10.1016/j.trb.2026.103408

Zhaoqi Zang, Richard Batley, David Z.W. Wang, Hong K. Lo

引用次数: 0

Optimizing for green skies: How do herd effects and customer heterogeneity impact airline optimal pricing and reputation investment? 优化绿色天空：羊群效应和客户异质性如何影响航空公司最优定价和声誉投资？

IF 6.3 1区工程技术 Q1 ECONOMICS

Transportation Research Part B-Methodological

Pub Date : 2026-01-27 DOI: 10.1016/j.trb.2026.103401

Jinshu Cai , Yanyan Ding , Sisi Jian

As public scrutiny of aviation emissions intensifies, airlines face the challenge of balancing corporate social responsibility (CSR) with profitability. This study examines how CSR reputation, particularly concerning adopting sustainable aviation fuel (SAF), influences airlines’ investment and pricing strategies. We develop a two-stage sequential decision model to analyze the interplay between CSR reputation, pricing strategies, herd effects, and customer heterogeneity. This model considers both congestion effects and the impact of CSR reputation on herd behavior among customers. We examine two pricing strategies: uniform pricing with standard green service and differentiated pricing with tailored services. Using backward induction, we determine the optimal reputation investment and pricing strategy under various market conditions. Further, we introduce an integrated efficiency indicator that captures the combined influence of sensitivity to herd effects, investment costs, customer heterogeneity, and congestion to guide airlines in selecting the optimal pricing strategy. This indicator gives airlines a practical tool for navigating the complex trade-offs between CSR investment, pricing, and market dynamics. Results indicate that while herd behavior incentivizes reputation investment, a critical threshold exists for the relative efficacy of uniform versus differentiated pricing. The inherent cost of implementing differentiated pricing necessitates a more substantial efficiency gain to surpass uniform pricing.

随着公众对航空排放审查的加强，航空公司面临着平衡企业社会责任（CSR）与盈利能力的挑战。本研究探讨了企业社会责任声誉，特别是关于采用可持续航空燃料（SAF），如何影响航空公司的投资和定价策略。我们开发了一个两阶段顺序决策模型来分析企业社会责任声誉、定价策略、羊群效应和客户异质性之间的相互作用。该模型既考虑了拥塞效应，也考虑了企业社会责任声誉对顾客群体行为的影响。我们研究了两种定价策略：标准绿色服务的统一定价和定制服务的差异化定价。利用逆向归纳法，确定了不同市场条件下的最优信誉投资和定价策略。此外，我们引入了一个综合效率指标，该指标捕捉了对羊群效应的敏感性、投资成本、客户异质性和拥堵的综合影响，以指导航空公司选择最优定价策略。该指标为航空公司在企业社会责任投资、定价和市场动态之间进行复杂权衡提供了实用工具。结果表明，虽然羊群行为激励声誉投资，但统一定价与差异化定价的相对效果存在一个临界阈值。实施差异化定价的内在成本要求有更大的效率收益来超越统一定价。

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