Multimodal Transportation最新文献_第6页

Mind the perception gap: Identifying differences in views among stakeholder groups of shared mobility services through bayesian best-worst method 注意感知差距：通过贝叶斯最佳-最差方法识别共享移动服务的利益相关者群体之间的观点差异

Multimodal Transportation

Pub Date : 2025-06-01 Epub Date: 2025-01-15 DOI: 10.1016/j.multra.2025.100198

Ehsan Amirnazmiafshar , Marco Diana

This study investigates perception gaps among stakeholders—policy-makers, operators, users, and non-users—regarding car-sharing, bike-sharing, and scooter-sharing systems in Turin, Italy. Based on 628 surveys collected between November 2021 and February 2022 and analyzed using the Bayesian Best-Worst Method (BWM) multicriteria technique, it highlights key differences in prioritizing factors influencing shared mobility demand.

Key Findings: For car-sharing, policy-makers overestimate the importance of trip purpose compared to both users and non-users, while undervaluing service availability. Operators undervalue trip-related factors, such as travel time and departure time, while overemphasizing user-friendliness. For bike-sharing, policy-makers overestimate travel time compared to users while undervaluing travel comfort and environmental friendliness compared to both users and non-users. Operators underestimate trip-related factors, including travel distance and trip purpose, while overemphasizing environmental friendliness, particularly compared to non-users. For scooter-sharing, policy-makers underestimate trip-related characteristics, such as travel time and departure time, while overestimating travel cost and user-friendliness compared to non-users. Operators undervalue travel comfort and service availability, while overestimating travel distance, especially compared to users.

Managerial Insights: For car-sharing, policy-makers should expand service coverage and incentivize vehicle deployment, while operators should use dynamic fleet management and offer flexible booking options. For bike-sharing, policy-makers should subsidize fleet expansion and improve infrastructure, while operators should transition to free-floating models and integrate navigation tools. For scooter-sharing, policy-makers should enforce safety standards and improve accessibility, while operators should invest in high-quality scooters and adopt competitive pricing models.

Bridging these perception gaps is essential for fostering shared mobility adoption and enhancing user satisfaction.

本研究调查了意大利都灵的利益相关者（政策制定者、运营商、用户和非用户）对汽车共享、自行车共享和踏板车共享系统的认知差距。基于2021年11月至2022年2月期间收集的628项调查，并使用贝叶斯最佳最差方法（BWM）多标准技术进行分析，该研究突出了影响共享出行需求的因素优先级的关键差异。主要发现：对于汽车共享，政策制定者高估了出行目的对用户和非用户的重要性，而低估了服务的可用性。运营商低估了与旅行相关的因素，如旅行时间和出发时间，而过分强调用户友好性。对于共享单车，决策者高估了用户的出行时间，而低估了用户和非用户的出行舒适度和环保性。运营商低估了旅行相关的因素，包括旅行距离和旅行目的，而过度强调环境友好性，特别是与非用户相比。对于滑板车共享，政策制定者低估了出行相关的特征，如出行时间和出发时间，同时高估了出行成本和与非用户相比的用户友好性。运营商低估了旅行的舒适性和服务的可用性，而高估了旅行距离，尤其是与用户相比。管理见解：对于汽车共享，政策制定者应该扩大服务范围，激励车辆部署，而运营商应该采用动态车队管理，并提供灵活的预订选择。对于共享单车，政策制定者应该补贴车队扩张和改善基础设施，而运营商应该过渡到自由浮动模式，并整合导航工具。对于共享滑板车，政策制定者应该加强安全标准，提高可达性，而运营商应该投资于高质量的滑板车，并采用有竞争力的定价模式。弥合这些认知差距对于促进共享出行普及和提高用户满意度至关重要。

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引用次数: 0

Urban intersection traffic flow prediction: A physics-guided stepwise framework utilizing spatio-temporal graph neural network algorithms 城市交叉口交通流量预测：利用时空图神经网络算法的物理引导逐步框架

Multimodal Transportation

Pub Date : 2025-06-01 Epub Date: 2025-02-12 DOI: 10.1016/j.multra.2025.100207

Yuyan Annie Pan , Fuliang Li , Anran Li , Zhiqiang Niu , Zhen Liu

Accurate traffic flow forecasting at urban intersections is critical for optimizing transportation infrastructure and reducing congestion. This manuscript introduces a novel framework, the Physics-Guided Spatio-Temporal Graph Neural Network (PG-STGNN), specifically designed for traffic flow prediction. By integrating the principles of traffic flow physics with advanced spatio-temporal graph neural network algorithms, the framework captures complex spatio-temporal dependencies in traffic networks. PG-STGNN adopts a stepwise approach, addressing key performance metrics like queue formation and signal timing complexities at intersections. To validate its effectiveness, the model was applied to real-world traffic data from the Yizhuang District of Beijing. Compared to traditional models such as ARIMA, KNN, and Random Forest, PG-STGNN significantly improves prediction accuracy, achieving MAPE reductions of 19.9 %, 18.6 %, 6.1 %, 20.7 %, 5.0 %, 1.8 %, and 1.1 % against KNN, ARIMA, RF, BP, T-GCN, STGCN, and ST-ED-RMGC, respectively. With the lowest MAPE (9.452 %), MAE (2.485), and RMSE (4.364), PG-STGNN demonstrates superior prediction performance. These results underscore its potential to provide reliable short-term traffic forecasts, offering essential insights for the strategic planning and management of urban intelligent transportation systems.

准确预测城市交叉口的交通流量对于优化交通基础设施和减少拥堵至关重要。本手稿介绍了一种新颖的框架，即物理引导时空图神经网络（PG-STGNN），专门用于交通流预测。通过将交通流物理学原理与先进的时空图神经网络算法相结合，该框架可捕捉交通网络中复杂的时空依赖关系。PG-STGNN 采用循序渐进的方法，解决了交叉口队列形成和信号配时复杂性等关键性能指标。为验证其有效性，该模型被应用于北京亦庄地区的实际交通数据。与 ARIMA、KNN 和随机森林等传统模型相比，PG-STGNN 显著提高了预测精度，与 KNN、ARIMA、RF、BP、T-GCN、STGCN 和 ST-ED-RMGC 相比，MAPE 分别降低了 19.9%、18.6%、6.1%、20.7%、5.0%、1.8% 和 1.1%。PG-STGNN 的 MAPE (9.452 %)、MAE (2.485) 和 RMSE (4.364) 最低，显示出卓越的预测性能。这些结果凸显了 PG-STGNN 在提供可靠的短期交通预测方面的潜力，为城市智能交通系统的战略规划和管理提供了重要见解。

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引用次数: 0

Effect of COVID-19 pandemic on freight volume, revenue and expenditure of deendayal port in India: An ARIMA forecasting model COVID-19大流行对印度独立港口货运量、收入和支出的影响：ARIMA预测模型

Multimodal Transportation

Pub Date : 2025-06-01 Epub Date: 2025-01-18 DOI: 10.1016/j.multra.2025.100201

Deepjyoti Das , Aditya Saxena

Shipping sector is vital to Indian economy, making it crucial to understand the economic impact of the COVID-19 pandemic on port operations to develop strategies for future resilience. This study examines the effects of COVID-19 on Deendayal Port, a key Indian port, by analyzing freight volume, revenue, and expenditure data from April 2012 to October 2022. Autoregressive Integrated Moving Average (ARIMA) modeling covers pre-COVID, two COVID-19 waves, and post-COVID scenarios. Ordinary Least Squares (OLS) regression models for revenue and expenditure evaluate economic losses. The results show 6.2% decline in freight volume during the first wave, with a decrease from 123.4 million tons (Mt) to 115.8 Mt, leading to a monthly average loss of 0.6 Mt. The second wave saw recovery, with freight volume increasing from the forecasted 127.6 Mt to 129.6 Mt, resulting in a monthly gain of 0.2 Mt. Revenue losses during wave 1 were 215 crore INR, while wave 2 saw a revenue increase of 57 crore INR. The study highlights the importance of operational efficiency and managing key cost drivers like volume and manpower to maintain financial stability. These findings lay a foundation for future research to strengthen the shipping industry's resilience and sustainability in post-pandemic world.

航运业对印度经济至关重要，因此了解2019冠状病毒病大流行对港口运营的经济影响，以制定未来抵御能力战略至关重要。本研究通过分析2012年4月至2022年10月的货运量、收入和支出数据，考察了2019冠状病毒病对印度主要港口迪恩达亚尔港的影响。自回归综合移动平均（ARIMA）模型涵盖了COVID-19前、两个COVID-19波和COVID-19后的情景。普通最小二乘（OLS）回归模型的收入和支出评估经济损失。结果显示，第一波货运量下降6.2%，从1.234亿吨减少到1.158亿吨，导致每月平均损失0.6亿吨。第二波出现复苏，货运量从预测的1.276亿吨增加到1.296亿吨，导致每月增加0.2亿吨。第1波的收入损失为2.15亿卢比，而第2波的收入增加了5.7亿卢比。该研究强调了运营效率和管理数量和人力等关键成本驱动因素对维持金融稳定的重要性。这些发现为未来的研究奠定了基础，以加强航运业在大流行后世界的复原力和可持续性。

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引用次数: 0

Exploring shared e-scooter trip patterns and links to public transport service level 探索共享电动车出行模式及与公共交通服务水平的联系

Multimodal Transportation

Pub Date : 2025-06-01 Epub Date: 2025-02-11 DOI: 10.1016/j.multra.2025.100205

Graham Currie , Alexa Delbosc , Ryan Cox , Mahesha Jayawardhena , James Reynolds

This paper explores how public transport and shared e-scooter travel interact. Trip end travel patterns of shared e-scooter users are explored in relation to Public Transport service levels. An index measuring transit service level is developed. This is compared to spatial and temporal patterns of e-scooter trip ends to explore the hypothesis that e-scooter use is stronger in areas where inner area transit offers a poorer quality service i.e. are e-scooters acting as a ‘gap filler’ to transit providing first-last mile access to transit?

Analysis methodologies including comparative spatial and temporal mapping of service level and trip end concentrations supported by statistical tests. A novel approach is also adopted to compare PT service level at each e-scooter trip end which identifies potential first-last mile and gap filling e-scooter trips from a large trip end database.

Results show e-scooter trip ends are concentrated in areas and at times when transit service levels are highest. This suggests that shared e-scooters may be competing with transit service rather than filling service gaps. We therefore conclude that the hypothesis that e-scooters act as a ‘gap filler’ for areas of low transit use is not supported.

Nevertheless, we have found limited and specific evidence of times and areas where ‘gap filling’ and first-last mile trips are apparent. Night time, early morning and weekend e-scooter travel volume is high when transit service levels are low. We also found limited evidence of spatial gaps in transit where first-last mile rail access was occurring and some evidence that rail-linked e-scooter travel was from lower service level trip ends and that these patterns increased with e-scooter trip distance.

本文探讨了公共交通与共享电动滑板车出行的互动关系。研究了共享电动滑板车用户的出行模式与公共交通服务水平的关系。提出了衡量公交服务水平的指标。这与电动滑板车出行结束的时空模式进行了比较，以探索在内部区域交通服务质量较差的地区，电动滑板车的使用更强的假设，即电动滑板车是否充当了交通的“填充物”，为交通提供了最初的最后一英里通道？分析方法，包括由统计试验支持的服务水平和行程终点集中度的比较空间和时间映射。采用了一种新颖的方法来比较每个电动滑板车出行端PT服务水平，该方法从大型出行端数据库中识别出潜在的首最后一英里和缺口填充电动滑板车出行。结果表明，电动滑板车出行终点集中在交通服务水平最高的地区和时段。这表明共享电动滑板车可能会与公交服务竞争，而不是填补服务空白。因此，我们得出的结论是，电动滑板车在交通使用率低的地区充当“填充物”的假设是不支持的。尽管如此，我们已经找到了有限的具体证据，证明“填补空白”和“头到最后一英里”的旅行在时间和领域是明显的。在交通服务水平较低的时候，夜间、清晨和周末电动滑板车的出行量较高。我们还发现了有限的交通空间差距的证据，在最初的最后一英里轨道交通发生的地方，一些证据表明，与轨道相连的电动滑板车旅行来自较低服务水平的旅行终点，这些模式随着电动滑板车旅行距离的增加而增加。

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引用次数: 0

User feedback assessment of region-focused mobility-as-a-service bundles 以区域为中心的移动即服务捆绑包的用户反馈评估

Multimodal Transportation

Pub Date : 2025-06-01 Epub Date: 2025-01-29 DOI: 10.1016/j.multra.2025.100204

Sofia Suárez , Eloisa Macedo , Gennaro Ciccarelli , Jorge M. Bandeira

Mobility-as-a-Service (MaaS) is viewed as a prospective approach to encourage sustainable mobility. To ensure the effectiveness of MaaS subscription plans, continuous feedback and communication with users are crucial. The objective of this study is to develop a methodology for designing region-focused MaaS bundles and assess their viability through end-user's feedback and its potential for increasing users’ uptake of more sustainable travel. To explore user willingness to adopt the suggested MaaS bundles and estimate net changes in carbon dioxide (CO₂) and nitrogen oxide (NOx) emissions, stated preference surveys (SPS) were conducted in the Portuguese cities of Aveiro and Coimbra. Results suggest a preference for bundles offering unlimited travel on public transport and, due to the efficient public transport network in Coimbra, the willingness to use such bundles was higher than for Aveiro. In an optimistic scenario, average emission savings of 35 % for CO₂ and 30 % for NOx emissions, specifically for the most frequent trips, were found. In a realistic scenario with values adjusted to revealed preferences, these reductions drop to 5 % for CO₂ and 4 % for NOx. Overall, our research highlights the complexities associated with behavioural changes and underscores the importance of policies that consider the intricacies of human behaviour. Furthermore, the findings regarding the introduction of MaaS bundles emphasize the pivotal role of a robust PT system in driving changes in travel behaviour among the population, contributing to mitigating the negative effects of unsustainable, carbon-dependent travel choices.

出行即服务（MaaS）被视为一种鼓励可持续出行的前瞻性方法。为了确保MaaS订阅计划的有效性，与用户的持续反馈和沟通至关重要。本研究的目的是开发一种设计以区域为重点的MaaS套餐的方法，并通过最终用户的反馈评估其可行性，以及提高用户对更可持续旅行的接受程度的潜力。为了探索用户采用建议的MaaS包的意愿，并估计二氧化碳（CO2）和氮氧化物（NOx）排放的净变化，在葡萄牙城市阿威罗和科英布拉进行了声明偏好调查（SPS）。结果表明，人们更倾向于使用提供无限制公共交通出行的捆绑包，由于科英布拉高效的公共交通网络，使用这种捆绑包的意愿高于阿威罗。在乐观的情况下，特别是在最频繁的旅行中，二氧化碳排放量平均减少35%，氮氧化物排放量平均减少30%。在一个现实的场景中，根据所显示的偏好调整值，这些减少量将下降到二氧化碳的5%和氮氧化物的4%。总的来说，我们的研究强调了与行为变化相关的复杂性，并强调了考虑人类行为复杂性的政策的重要性。此外，关于引入MaaS套餐的研究结果强调了强大的PT系统在推动人口旅行行为变化方面的关键作用，有助于减轻不可持续的、依赖碳的旅行选择的负面影响。

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引用次数: 0

On the safety effects of off-peak hour speed characteristics of urban arterials 城市主干道非高峰时速度特性对安全的影响

Multimodal Transportation

Pub Date : 2025-06-01 Epub Date: 2025-02-12 DOI: 10.1016/j.multra.2025.100206

Sixuan Xu , Xinbo Xie , Chen Wang , Junyi Yan

Among the factors related to traffic crash risk, the speed characteristics are crucial. Most studies on the safety effect of speed characteristics focused on highways and rural roads, whereas the investigations on urban roads are not comprehensive. Urban arterials operate at higher speeds during off-peak hours, which may possibly lead to more serious crashes. Hence, this study focuses on the correlation between speed characteristics and serious crash occurrence (i.e., injuries and fatalities) on urban arterials during off-peak hours, while considering the interaction between speed and road/traffic characteristics. The spatial autocorrelation and intrinsic correlation of injury and fatal crashes are analyzed by using multivariate conditional autoregressive model (MVCAR) from 12 urban arterials in a district in Ningbo, China. Research findings include: (1) speed characteristics, including the percentage of speeding vehicles, mean speed, speed standard deviation, speed skewness, were found as significant and the inclusion of interaction terms of speed characteristics improved the model fit; (2) the interaction terms of percentage of speeding vehicles with the presence of median and access density, speed skewness with access density showed significant effects; (3) the interaction term of mean speed and access density are positively correlated with crash risk; (4) Speed standard deviation is positively correlated with crash risk. The findings can provide guidance for improving urban speed management and safety.

在与交通事故风险相关的因素中，速度特性是至关重要的。关于速度特性安全效应的研究大多集中在高速公路和农村道路上，而对城市道路的研究并不全面。城市主干道在非高峰时段以更高的速度运行，这可能会导致更严重的交通事故。因此，本研究的重点是在考虑速度与道路/交通特征之间的相互作用的同时，研究非高峰时段城市主干道上的速度特性与严重碰撞发生（即伤害和死亡）之间的相关性。采用多变量条件自回归模型（MVCAR）对宁波市某城区12条主干道的伤害与致命交通事故的空间自相关性和内在相关性进行了分析。研究发现：(1)超速车辆百分比、平均速度、速度标准差、速度偏度等速度特性显著，车速特性交互项的加入改善了模型拟合；(2)超速车辆百分比与中位数、通道密度、速度偏度的交互作用项对通道密度有显著影响；(3)平均速度和通行密度的交互项与碰撞风险正相关；(4)速度标准差与碰撞风险呈正相关。研究结果可为改善城市速度管理和安全提供指导。

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引用次数: 0

The evolving dynamics of airport ground access: A multinomial logit analysis of mode choice at Guwahati Airport, India 机场地面通道的动态演化：印度古瓦哈提机场模式选择的多项逻辑分析

Multimodal Transportation

Pub Date : 2025-06-01 Epub Date: 2025-02-13 DOI: 10.1016/j.multra.2025.100208

Lalit Swami, Mokaddes Ali Ahmed, Suprava Jena

As shared mobility options like ridesourcing services continue to reshape urban transportation systems globally, their impact on airport ground access has become increasingly significant. This study investigates the changing dynamics of airport access at Lokpriya Gopinath Bordoloi International Airport (LGBI) in Guwahati, India, amidst the growing presence of ridesourcing services. A total of 700 air passengers were surveyed using a random sampling technique over 15 consecutive days, providing comprehensive data for the analysis. A multinomial logit (MNL) model was employed to examine factors influencing mode choice, considering variables such as age, residential status, group size, car ownership, luggage, safety, and convenience. The model explains 48.2 % to 57.2 % of the variation in mode choice. The results reveal that younger passengers (aged 21–30) are 2.14 times more likely to choose ridesourcing services. Additionally, visitors are significantly more inclined to use ridesourcing services compared to locals, with an odds ratio of 2.56. While passengers with car ownership are 5.43 times more likely to prefer private vehicles. The study underscores the growing significance of ridesourcing services in airport ground access and highlights the need for transportation planning and policymaking to adapt to these evolving trends.

随着拼车服务等共享出行选择继续重塑全球城市交通系统，它们对机场地面通道的影响变得越来越大。本研究调查了印度古瓦哈蒂Lokpriya Gopinath Bordoloi国际机场（LGBI）在打车服务日益增长的背景下，机场通道的变化动态。通过连续15天的随机抽样调查，共对700名航空乘客进行了调查，为分析提供了全面的数据。考虑年龄、居住状况、群体规模、汽车拥有量、行李、安全性和便利性等因素，采用多项logit （MNL）模型考察影响模式选择的因素。该模型解释了48.2%至57.2%的模式选择变化。结果显示，年轻乘客（21-30岁）选择约车服务的可能性高出2.14倍。此外，与当地人相比，游客更倾向于使用拼车服务，优势比为2.56。而拥有汽车的乘客选择私家车的可能性是前者的5.43倍。该研究强调了约车服务在机场地面通道中的重要性，并强调了交通规划和政策制定的必要性，以适应这些不断变化的趋势。

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引用次数: 0

Experimental determination of factors causing crashes involving automated vehicles 实验确定导致自动驾驶车辆碰撞的因素

Multimodal Transportation

Pub Date : 2025-03-01 Epub Date: 2024-12-30 DOI: 10.1016/j.multra.2024.100186

Teshome Kumsa Kurse , Girma Gebresenbet , Geleta Fikadu Daba , Negasa Tesfaye Tefera

Emergence of technologies to replace human action is occurring in many sectors, with autonomous vehicles being a leading example. Autonomous vehicles do not require human interaction and instead employ various devices to perform essential operations. This paper assesses factors which cause autonomous vehicles to suffer crashes, using field data collected by the Californian Department of Motor Vehicles. Data on these highly automated vehicles (AVs) were clustered based on degree and direction of impact, and analyzed by coding in Excel and RStudio programming. A novel feature of the work is that all clustering, analysis, application of association rules, and determination of degrees of severity of crashes were done by RStudio programming and that the direction of autonomous vehicles impacts was identified based on field data. Our analysis reveals that weather conditions, maneuvering, road conditions, and lighting are major factors in autonomous vehicles crashes. Rear-end crash and minor scratches to autonomous vehicles are the most frequent forms of damage, based on the available data. This study underscores the critical need for enhanced sensor technologies and improved algorithms to better handle adverse weather conditions, complex maneuvers, and varying road and lighting conditions. By identifying the most frequent types of damage, such as rear-end crashes and minor scratches, this research provides valuable insights for manufacturers and policymakers aiming to improve the safety and reliability of autonomous vehicles. The findings can inform future design improvements and regulatory measures, ultimately contributing to the reduction of crash rates and the advancement of autonomous vehicle technology.

许多领域都出现了取代人类行为的技术，自动驾驶汽车就是一个典型的例子。自动驾驶汽车不需要人工干预，而是使用各种设备来执行基本操作。本文利用加州机动车辆管理局收集的现场数据，评估了导致自动驾驶汽车发生碰撞的因素。这些高度自动化车辆（AVs）的数据根据影响程度和方向聚类，并通过Excel和RStudio编程进行编码分析。这项工作的一个新特点是，所有的聚类、分析、关联规则的应用和碰撞严重程度的确定都是由RStudio编程完成的，自动驾驶汽车的影响方向是根据现场数据确定的。我们的分析显示，天气条件、机动、道路状况和照明是自动驾驶汽车撞车的主要因素。根据现有数据，自动驾驶汽车最常见的损坏形式是追尾碰撞和轻微划痕。这项研究强调了增强传感器技术和改进算法的迫切需要，以更好地处理恶劣天气条件、复杂机动以及变化的道路和照明条件。通过识别最常见的损坏类型，如追尾碰撞和轻微划痕，该研究为旨在提高自动驾驶汽车安全性和可靠性的制造商和政策制定者提供了有价值的见解。研究结果可以为未来的设计改进和监管措施提供参考，最终有助于降低碰撞率和推进自动驾驶汽车技术。

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引用次数: 0

A cost function approximation method for dynamic vehicle routing with docking and LIFO constraints 具有对接和后进先出约束的车辆动态路径的成本函数逼近方法

Multimodal Transportation

Pub Date : 2025-03-01 Epub Date: 2025-01-09 DOI: 10.1016/j.multra.2025.100194

Markó Horváth, Tamás Kis, Péter Györgyi

In this paper, we study a dynamic pickup and delivery problem with docking constraints. There is a homogeneous fleet of vehicles to serve pickup-and-delivery requests at given locations. The vehicles can be loaded up to their capacity, while unloading has to follow the last-in-first-out (LIFO) rule. The locations have a limited number of docking ports for loading and unloading, which may force the vehicles to wait. The problem is dynamic since the transportation requests arrive real-time, over the day. Accordingly, the routes of the vehicles are to be determined dynamically. The goal is to satisfy all the requests such that a combination of tardiness penalties and traveling costs is minimized. We propose a cost function approximation based solution method. In each decision epoch, we solve the respective optimization problem with a perturbed objective function to ensure the solutions remain adaptable to accommodate new requests. We penalize waiting times and idle vehicles. We propose a variable neighborhood search based method for solving the optimization problems, and we apply two existing local search operators, and we also introduce a new one. We evaluate our method using a widely adopted benchmark dataset, and the results demonstrate that our approach significantly surpasses the current state-of-the-art methods.

本文研究了一个具有对接约束的动态取货问题。在给定的地点，有一个相同的车队来满足取货和送货的要求。车辆可以装载到最大容量，而卸载必须遵循后进先出（LIFO）规则。这些地点用于装卸的对接端口数量有限，这可能迫使车辆等待。这个问题是动态的，因为运输请求在一天内实时到达。因此，车辆的路线需要动态确定。我们的目标是满足所有的要求，从而将延误处罚和差旅费用的组合降到最低。我们提出了一种基于成本函数近似的求解方法。在每个决策时期，我们用摄动目标函数来解决各自的优化问题，以确保解决方案能够适应新的请求。我们惩罚等待时间和闲置车辆。提出了一种基于可变邻域搜索的优化算法，并在此基础上引入了一种新的局部搜索算子。我们使用广泛采用的基准数据集来评估我们的方法，结果表明我们的方法明显优于当前最先进的方法。

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引用次数: 0

Challenges in transport modelling and planning 交通建模和规划方面的挑战

Multimodal Transportation

Pub Date : 2025-03-01 Epub Date: 2024-12-13 DOI: 10.1016/j.multra.2024.100183

Juan de Dios Ortúzar

引用次数: 0