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Adaptive signal control at partially connected intersections: A stochastic optimization model for uncertain vehicle arrival rates Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2025-02-06
Shaocheng JIA, S.C. WONG, Wai WONGOptimizing traffic signal control is crucial for improving efficiency in congested urban environments. Current adaptive signal control systems predominantly rely on on-road detectors, which entail significant capital and maintenance costs, thereby hindering widespread implementation. In this paper, a novel connected vehicle (CV)-based adaptive signal control (CVASC) framework is proposed that optimizes
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Real-time vehicle relocation, personnel dispatch and trip pricing for carsharing systems under supply and demand uncertainties Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2025-02-05
Mengjie Li, Haoning Xi, Chi Xie, Zuo-Jun Max Shen, Yifan HuIn one-way carsharing systems, striking a balance between vehicle supply and user demand across stations poses considerable operational challenges. While existing research on vehicle relocation, personnel dispatch, and trip pricing have shown effectiveness, they often struggle with the complexities of fluctuating and unpredictable demand and supply patterns in uncertain environments. This paper introduces
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Timing and size decisions of green technology investment for competitive ocean carriers under green regulations Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2025-02-01
Jiaguo Liu, Jie Wu, Xiaowen Fu, Peter M. KortIn response to increasingly stringent green regulations, ocean carriers are transitioning their emissions reduction strategy from reducing ship speeds to investing in green equipment. However, because carriers face uncertain demand and a competitive freight market, it is challenging for them to determine the timing and size of green equipment investments. Hence, we construct a real options game (ROG)
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Who should not share? The merits of withholding unused vehicles Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2025-02-01
Roman ZakharenkoPeople repeatedly demand travel, using available vehicles scattered around space. What can justify vehicle withholding (i.e. preventing others from using it, for own future use) from the social welfare perspective? This paper investigates heterogeneity in the potential cost of search for alternative vehicles as such justification. It is shown that travellers whose search cost is substantially higher
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Modeling the residual queue and queue-dependent capacity in a static traffic assignment problem Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2025-01-29
Hao Fu, William H.K. Lam, Wei Ma, Yuxin Shi, Rui Jiang, Huijun Sun, Ziyou GaoThe residual queue during a given study period (e.g., peak hour) is an important feature that should be considered when solving a traffic assignment problem under equilibrium for strategic traffic planning. Although studies have focused extensively on static or quasi-dynamic traffic assignment models considering the residual queue, they have failed to capture the situation wherein the equilibrium link
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Estimating gap acceptance parameters with a Bayesian approach Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2025-01-29
Samson Ting, Thomas Lymburn, Thomas Stemler, Yuchao Sun, Michael SmallThe gap acceptance framework is the theoretical basis for modelling traffic flow at intersections with a priority control. Reliable estimation methods for key gap acceptance parameters are important to more accurately predict key traffic performance measures such as capacity and delay. A notable challenge is that the critical gaps are not directly observable. Currently, the maximum likelihood estimator
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What do walking and e-hailing bring to scale economies in on-demand mobility? Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2025-01-28
Kenan Zhang, Javier Alonso-Mora, Andres FielbaumThis study investigates the impact of walking and e-hailing on the scale economies of on-demand mobility services. An analytical framework is developed to i) explicitly characterize the physical interactions between passengers and vehicles in the matching and pickup processes, and ii) derive the closed-form degree of scale economies (DSE) to quantify scale economies. The general model is then specified
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Unveiling network capacity potential with imminent supply information part II: Backpressure-based validation Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2025-01-24
Dianchao Lin, Li LiThe capacity region (CR) is a key index to characterize a dynamic processing system’s ability to handle incoming demands. It is a multidimensional space when the system has multiple origin–destination pairs where their service rates interact. An urban traffic network is such a system. Traffic congestion appears when its demand approaches or exceeds the upper frontier of its CR. Part I of this study
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Optimizing carbon emissions in green logistics for time-dependent routing Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2025-01-24
Yiming Liu, Yang Yu, Roberto Baldacci, Jiafu Tang, Wei SunThis paper considers a green vehicle routing problem termed the time-dependent green vehicle routing problem with time windows (TDGVRPTW). The TDGVRPTW is an extension of the green vehicle routing problem with time windows in green logistics. It considers time-dependent vehicle speed and aims to minimize carbon emissions. Since the travel times and carbon emissions between locations depend on the departure
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Equilibrium horizontal queues and a paradox of tolling Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2025-01-24
Lewis J. Lehe, Ayush PandeyThis paper shows that, in a static traffic model with elastic demand, increasing a toll may raise the equilibrium trip rate through a network. The result is obtained in models with horizontal queues and rules about merges and diverges assumed in the Cell Transmission Model for Network Traffic. The paper looks at three networks: (i) a road with a fixed bottleneck at the end; (ii) a road with a “triggerneck”
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Real-time policy for yard allocation of transshipment containers in a terminal Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2025-01-13
Abdo Abouelrous, Rommert Dekker, Laurens Bliek, Yingqian ZhangIn this article, we investigate the problem of allocating storage space in a container terminal’s yard to transshipment containers. The main decision here concerns the block to which a container is assigned for storage until it is loaded later by another vessel. We propose a setting where some target performance measures are imposed on the discharge operations. In turn, the allocation decisions are
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Investment and financing of roadway digital infrastructure for automated driving Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2025-01-01
Amir Ahmadian, Sina Bahrami, Mehdi Nourinejad, Yafeng YinConnected automated vehicles (CAVs) are equipped with sensors, enabling them to scan and analyze their surrounding environment. This capability empowers CAVs to make informed and efficient decisions regarding their motion; however, the limited spatial range and resolution of these sensors present challenges for achieving full autonomy. Cooperative sensing through vehicle-to-vehicle (V2V) and vehic
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Shore-power capacity allocation in a container shipping network under ships’ strategic behaviors Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2024-12-30
Zhijia Tan, Dian Sheng, Yafeng YinShore power (SP) is an effective way to cut carbon emissions at ports by replacing fuel oil for docked ships. The adoption of SP by ships hinges on the onboard transformer setup cost and the cost saving from SP utilization in comparison with fuel oil. The allocation of SP capacity at ports influences the availability of SP-equipped berths and, along with conventional berths, incurs potential service
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Solving the equity-aware dial-a-ride problem using an exact branch-cut-and-price algorithm Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2024-12-24
Shuocheng Guo, Iman Dayarian, Jian Li, Xinwu QianThis paper proposes a Branch-Cut-and-Price (BCP) algorithm to solve an equitable variant of the Dial-a-Ride problem (DARP), namely Equity-Aware DARP (EDARP), a bi-objective optimization problem that simultaneously minimizes the total routing cost and maximizes the Equity-of-Travel (EoT) outcomes for individual passengers. For passengers, EoT is specified as their detour rate, measured by the ratio
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Parking reservation scheme in a commuting system with shared autonomous vehicles and parking space constraint Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2024-12-18
Zhe-Yi Tang, Li-Jun Tian, Peng Liu, Hai-Jun HuangThis study examines the effects of parking reservation schemes on travel choices and flow distribution in a commuting system comprising regular vehicles (RVs) and shared autonomous vehicles (SAVs), when faced with limited parking spaces. All possible departure patterns under three parking reservation schemes are explored, involving unreserved and reserved RV commuters, as well as SAV commuters. Associated
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Interpretable State-Space Model of Urban Dynamics for Human-Machine Collaborative Transportation Planning Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2024-12-17
Jiangbo Yu, Michael F. HylandStrategic Long-Range Transportation Planning (SLRTP) is pivotal in shaping prosperous, sustainable, and resilient urban futures. Existing SLRTP decision support tools predominantly serve forecasting and evaluative functions, leaving a gap in directly recommending optimal planning decisions. To bridge this gap, we propose an Interpretable State-Space Model (ISSM) that considers the dynamic interactions
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Conditional forecasting of bus travel time and passenger occupancy with Bayesian Markov regime-switching vector autoregression Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2024-12-13
Xiaoxu Chen, Zhanhong Cheng, Alexandra M. Schmidt, Lijun SunAccurate forecasting of bus travel time and passenger occupancy with uncertainty is essential for both travelers and transit agencies/operators. However, existing approaches to forecasting bus travel time and passenger occupancy mainly rely on deterministic models, providing only point estimates. In this paper, we develop a Bayesian Markov regime-switching vector autoregressive model to jointly forecast
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Entropy maximization in multi-class traffic assignment Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2024-12-12
Qianni Wang, Liyang Feng, Jiayang Li, Jun Xie, Yu (Marco) NieEntropy maximization is a standard approach to consistently selecting a unique class-specific solution for multi-class traffic assignment. Here, we show the conventional maximum entropy formulation fails to strictly observe the multi-class bi-criteria user equilibrium condition, because a class-specific solution matching the total equilibrium link flow may violate the equilibrium condition. We propose
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Lookahead scenario relaxation for dynamic time window assignment in service routing Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2024-12-10
Rosario Paradiso, Roberto Roberti, Marlin UlmerWe consider a problem where customers dynamically request next-day home service, e.g., repair or installments. Unlike attended home delivery, customers cannot select a time window (TW), the service provider assigns a next-day TW to each new customer if the customer can feasibly be inserted in the service route of the next day without violating the TWs of the existing customers. Otherwise, customer
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Bike network planning in limited urban space Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2024-12-10
Nina Wiedemann, Christian Nöbel, Lukas Ballo, Henry Martin, Martin RaubalThe lack of cycling infrastructure in urban environments hinders the adoption of cycling as a viable mode for commuting, despite the evident benefits of (e-)bikes as sustainable, efficient, and health-promoting transportation modes. Bike network planning is a tedious process, relying on heuristic computational methods that frequently overlook the broader implications of introducing new cycling infrastructure
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Airport city and downtown store competition and regulation under incomplete information Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2024-12-04
Shiyuan Zheng, Anming Zhang, Kun Wang, Xiaowen FuMany airports have evolved into "airport cities" by expanding their business ventures beyond traditional goods and services to include hotels, convention centers, and shopping complexes. These airport cities, often referred to as airport malls, now directly compete with downtown stores due to their increasingly similar range of products and services. Both air passengers and local residents can choose
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Revisiting McFadden’s correction factor for sampling of alternatives in multinomial logit and mixed multinomial logit models Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2024-12-04
Thijs Dekker, Prateek Bansal, Jinghai HuoWhen estimating multinomial logit (MNL) models where choices are made from a large set of available alternatives computational benefits can be achieved by estimating a quasi-likelihood function based on a sampled subset of alternatives in combination with ‘McFadden’s correction factor’. In this paper, we theoretically prove that McFadden’s correction factor minimises the expected information loss in
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Hierarchical Nearest Neighbor Gaussian Process models for discrete choice: Mode choice in New York City Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2024-11-28
Daniel F. Villarraga, Ricardo A. DazianoStandard Discrete Choice Models (DCMs) assume that unobserved effects that influence decision-making are independently and identically distributed among individuals. When unobserved effects are spatially correlated, the independence assumption does not hold, leading to biased standard errors and potentially biased parameter estimates. This paper proposes an interpretable Hierarchical Nearest Neighbor
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Economic analysis of parking, vehicle charging and vehicle-to-grid services in the era of electric vehicles Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2024-11-27
Zhuoye Zhang, Fangni Zhang, Wei LiuWith the advances in electrical technologies (especially the vehicle-to-grid or V2G technologies), electric vehicles (EVs) now can be used as power storage. The latent power storage capacity in EVs can provide additional flexibility to the power system, and thus helps enhance the overall efficiency, stability and reliability of the power grid. With the V2G facility in place, EV users can choose to
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A novel data fusion method to leverage passively-collected mobility data in generating spatially-heterogeneous synthetic population Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2024-11-26
Khoa D. Vo, Eui-Jin Kim, Prateek BansalConventional methods to synthesize population use household travel survey (HTS) data. They generate many infeasible attribute values due to sequentially generating sociodemographics and spatial attributes and encounter a low spatial heterogeneity issue due to a low sampling rate of the HTS data. Passively collected mobility (PCM) data (e.g., cellular traces) provides extensive spatial coverage but
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The drone scheduling problem in shore-to-ship delivery: A time discretization-based model with an exact solving approach Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2024-11-24
Ying Yang, Xiaodeng Hao, Shuaian WangAmid growing interest in the integration of drones into maritime logistics, this paper addresses the drone scheduling problem in shore-to-ship delivery (DSP-SSD), which is both significant and challenging. We introduce a mixed-integer programming model with time discretization that incorporates drone-related constraints, moving targets, and the need for multiple drone trips. While commercial solvers
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A machine learning technique embedded reference-dependent choice model for explanatory power improvement: Shifting of reference point as a key factor in vehicle purchase decision-making Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2024-11-22
Kyungah Kim, Jinseok Kim, Subin Park, Jongsu Lee, Junghun KimMachine learning is a powerful tool with the potential to improve a choice model's ability to explain consumer behavior. Although the reference-dependent choice model, developed with an emphasis on real decision-making processes, has an advantage over general discrete choice models in terms of explanatory power and interpretability, there is still a lack of consensus on how the reference point should
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Modelling the impacts of en-route ride-pooling service in a mixed pooling and non-pooling market Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2024-11-22
Jun Wang, Manzi Li, Xiaolei Wang, Hai YangEn-route ride-pooling services, e.g. Didi Pinche, UberPool, have been considered a promising way to alleviate traffic congestion during rush hours. Yet in reality, its market share is still small compared to non-pooling service. For a ride-hailing platform that provides both en-route pooling and non-pooling services, this paper endeavors to answer under what circumstance would it have incentive to
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Making the most of your private parking slot: Strategy-proof double auctions-enabled staggered sharing schemes Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2024-11-16
Hao Yu, Min Huang, Yang Song, Xingwei Wang, Xiaohang YuePlatform-intermediated Private Parking Slot Sharing (PPSS) is broadly deemed a viable avenue to alleviate parking problems in metropolises. Despite a captivating future where PPSS will be as convenient as public parking today, tension is mounting in practice concerning how to efficiently match and price self-interested suppliers and demanders with incomplete information. To reconcile this tension,
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Safety, liability, and insurance markets in the age of automated driving Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2024-11-11
Daniel Vignon, Sina BahramiThis paper investigates two fundamental questions related to safety and insurance in the age of automation. First, we touch upon the question of safety and liability under infrastructure-assisted automated driving. In such an environment, automakers provide vehicle automation technology while infrastructure support service providers (ISSPs) provide smart infrastructure services. Additionally, customers
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Station-based, free-float, or hybrid: An operating mode analysis of a bike-sharing system Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2024-11-07
Chenyi Fu, Ning Zhu, Michael Pinedo, Shoufeng MaThe profit-oriented bike-sharing industry, such as Mobike in China and Limebike in the USA, has widely adopted the free-float mode, which allows users to rent and return bikes without any restrictions with regard to stations. Compared to the traditional station-based mode, this new mode improves convenience and satisfies a variety of travel demands, but it also results in higher operating costs and
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Formulations and branch-and-cut algorithms for the heterogeneous fleet vehicle routing problem with soft time deadlines Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2024-11-04
Yulin Han, Hande YamanThis paper investigates a variant of the heterogeneous fleet vehicle routing problem (HVRP) that incorporates soft time deadlines for customers and allows for tardiness at penalty costs. Distinct vehicle types feature varying fixed usage costs and utilize different road networks, resulting in differences in both travel times and travel costs. The objective is to optimize fleet assignment and vehicle
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Generating online freight delivery demand during COVID-19 using limited data Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2024-10-30
Majid Mirzanezhad, Richard Twumasi-Boakye, Tayo Fabusuyi, Andrea BroaddusUrban freight data analysis is crucial for informed decision-making, resource allocation, and optimizing routes, leading to efficient and sustainable freight operations in cities. Driven in part by the COVID-19 pandemic, the pace of online purchases for at-home delivery has accelerated significantly. However, responding to this development has been challenging given the lack of public data. The existing
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Dynamic flow control model and algorithm for metro network under FIFO condition Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2024-10-30
Ping Zhang, Jianjun Wu, Kai Wang, Yunchao Qu, Jiancheng LongImplementing passenger flow control strategies is an effective approach to reducing commuter travel delays and ensuring crowd safety in a congested metro network. Due to the intricacy of the interweaving of passenger flows between various lines and stations, the development of a scientific passenger flow control strategy is challenging in the networked mode of operation. The first-in-first-out (FIFO)
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Revisiting the traffic flow observability problem: A matrix-based model for traffic networks with or without centroid nodes Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2024-10-28
Yue Zhuo, Hu Shao, William H.K. Lam, Mei Lam Tam, Shuhan CaoThis study introduces a graph theory-based model that addresses the link flow observability problem in traffic networks by optimizing passive sensor deployment. The model aims to determine the minimal number of sensors and their optimal placement. It constructs a virtual network and uses isomorphic graph theory to map between the original and virtual networks, ensuring consistency in nodes, links,
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The multi-visit drone-assisted routing problem with soft time windows and stochastic truck travel times Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2024-10-23
Shanshan Meng, Dong Li, Jiyin Liu, Yanru ChenWe consider a combined truck-drone delivery problem with stochastic truck travel times and soft time windows. A fleet of homogeneous trucks and drones are deployed in pairs to provide delivery services to customers. Each drone can be launched from and retrieved to its truck multiple times, and in each flight, a drone can serve one or more customers. Our objective is to determine the truck routes and
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Intermodal container terminal location and capacity design with decentralized flow estimation Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2024-10-19
Jiajie Zhang, Yun Hui Lin, Ek Peng Chew, Kok Choon TanThis paper studies an intermodal container terminal (IMT) location and design problem, where the IMT operator wants to locate a set of open-access IMTs and design their capacity levels to maximize its profit. Following the IMT operator’s decisions, network users, responsible for container transportation, will independently choose their routes and may procure intermodal services from the IMT operator
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Preface to ISTTT Special Issue Volume 189, Transportation Research Part B Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2024-10-19
H. Michael Zhang, Yafeng Yin, Henry X. Liu -
Welfare optimal bicycle network expansions with induced demand Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2024-10-18
Mads Paulsen, Jeppe RichIn this paper, we determine a welfare-optimal investment strategy for bicycle networks while considering the joint impact of travel time savings and induced demand throughout the investment horizon. The paper extends an expansion strategy with fixed demand recently published in Paulsen and Rich (2023). Accommodating induced demand requires that we can express how expansions of the network affect demand
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Tailored priority allocation in the bottleneck model with general user heterogeneity Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2024-10-18
Zhenyu Yang, André de Palma, Nikolas GeroliminisWe propose to enhance the efficiency of road bottlenecks by strategically implementing metering-based priority (MBP) schemes. Under MBP, a portion of the bottleneck capacity is reserved for priority users but made available for nonpriority users when no priority users are queueing. Previous studies have found that MBP is Pareto-improving regarding individual trip costs with homogeneous users, but its
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Superiority proof of "incoming layout" for full link flow observability under uncertainty Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2024-10-18
Congcong Xie, Minhua Shao, Lijun SunThe full link flow observability problem is to identify the minimum set of links to be installed with sensors in a traffic network that allows the unique determination of all link flow volumes. In our previous work (Shao et al., 2016), we proposed a flow conservation system using turning ratios as prior information, and suggested that installing sensors on all exclusive incoming road links in the traffic
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Airline cabin crew pairing with accurate characterization of cross-class substitution: A branch-and-price approach Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2024-10-17
Xin Wen, Sai-Ho Chung, Tsan-Ming Choi, Xiaowen FuGiven the increasing heterogeneity of the types of aircraft operated, many airlines have switched from the traditional team scheduling approach to the individual scheduling approach for cabin crew planning. The individual approach not only allows for greater scheduling flexibility, but also helps achieve better utilization of available manpower through cross-class substitution (i.e., assigning a high-class
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Impacts of a sustainable aviation fuel mandate on airline competition — Full-service carrier vs. low-cost carrier Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2024-10-16
Ruotian Chen, Hangjun Yang, Kun Wang, Changmin JiangThe aviation industry has proposed the collective goal of achieving net-zero carbon emissions by 2050. In addition to the existing market-based methods (MBMs), the use of renewable energies, in particular, sustainable aviation fuel (SAF), could be one of the most promising means for achieving this long-term target. This paper investigates how an SAF mandate from the government can lead to heterogeneous
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Dynamic spatial price equilibrium, dynamic user equilibrium, and freight transportation in continuous time: A differential variational inequality perspective Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2024-10-16
Terry L. FrieszIn this paper we provide a statement of dynamic spatial price equilibrium (DSPE) in continuous time as a basis for modeling freight flows in a network economy. The model presented describes a spatial price equilibrium due to its reliance on the notion that freight movements occur in response to differences between the local and distant prices of goods for which there is excess demand; moreover, local
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Corrigendum to “Beyond centralization: Non-cooperative perimeter control with extended mean-field reinforcement learning in urban road networks” [Transportation Research Part B, 186 (2024) 103016] Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2024-10-15
Xinghua Li, Xinyuan Zhang, Xinwu Qian, Cong Zhao, Yuntao Guo, Srinivas Peeta -
A new generalized statistical model for continuous decisions under stochastic constraints and bounded rationality Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2024-10-11
Baibing LiThis paper develops a new generalized statistical modeling approach for choice problems where decision-makers are faced with a continuous set of alternatives. In the existing literature, decision-making behavior is usually analyzed in the context where there are only a few discrete alternatives from which decision-makers may choose. This paper generalizes this approach and investigates the scenario
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Urban rail train timetabling for the end-of-service period with passenger accessibility and operation cost: An advanced benders decomposition algorithm Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2024-10-10
Fang Wen, Yao Chen, Yun Bai, Qiaozhen Zhu, Ninghai LiTrain timetable during the end-of-service period is crucial for passenger accessibility and operation cost in urban rail transit networks. Existing studies have investigated the last train timetabling problem for improving passenger accessibility. This study investigates a train timetabling problem for the end-of-service period, which concentrates on the coordination of the service ending time on different
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The multi-compartment truck and trailer petrol station replenishment problem with domino hazard risks Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2024-10-04
Weitiao Wu, Yu LiPetroleum is the foundation of the oil industry and many transportation systems. As a typical hazardous material, transportation of petroleum products by road trucks will create an explosion risk and pose a potential threat to safety. The petrol distribution system with economic viability and safety calls for a well-designed distribution network and effective transportation management. In this paper
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Liner fleet deployment and empty container repositioning under demand uncertainty: A robust optimization approach Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2024-10-02
Xi Xiang, Xiaowei Xu, Changchun Liu, Shuai JiaThis paper investigates a robust optimization problem concerning the integration of fleet deployment and empty container repositioning in a shipping line network, where a fleet of vessels is dispatched to transport both laden and empty containers, aiming to fulfill a predetermined set of requests over a defined time horizon. The sizes of customer demands are uncertain and are characterized by a budgeted
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Robust convoy movement problem under travel time uncertainty Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2024-10-01
Byung Jun Ju, Byung Do ChungA convoy represents a collection of vehicles traveling with a spacing of 50–100 m between them for tactical purposes. The convoy movement problem is a variant of the vehicle routing problem, an NP-hard problem aimed at determining the paths and schedules of convoys. Given the uncertainties in travel times during wartime, attributable to various factors such as road conditions and enemy threats, it
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An iterative method for integrated hump sequencing, train makeup, and classification track assignment in railway shunting yard Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2024-09-28
Bojian Zhang, Jun Zhao, Andrea D’Ariano, Yongxiang Zhang, Tao Feng, Qiyuan PengIn a railway shunting yard, the transformation of inbound trains into properly composed outbound trains is a complex task because it involves decisions of multiple operations processes. This study addresses the integrated optimization of hump sequencing, train makeup, and classification track assignment problem in a railway shunting yard. Several key practical yard operation constraints are considered
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A topological network connectivity design problem based on spectral analysis Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2024-09-27
Shoichiro Nakayama, Shun-ichi Kobayashi, Hiromichi YamaguchiHow to improve network connectivity and which parts of the network are vulnerable are critical issues. We begin by defining an equal distribution problem, in which supplies are distributed equally to all nodes in the network. We then derive a topological network connectivity measure from the convergence speed, which is the second minimum eigenvalue of a Laplacian network matrix. Based on the equal
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Freelance drivers with a decline choice: Dispatch menus in on-demand mobility services for assortment optimization Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2024-09-26
Yue Yang, Seeun William Umboh, Mohsen RamezaniWith the prosperity of sharing economy, more part-time and freelance suppliers (i.e., drivers) join on-demand mobility services. Because of suppliers’ autonomy and behavioural heterogeneity, the platform cannot ensure that suppliers will accept a dispatch order. One approach to mitigate this supply uncertainty is to provide suppliers with personalized menus of dispatch recommendations. A key issue
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An online auction-based mechanism for pricing and allocation of instant delivery services Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2024-09-25
Jiantao Guo, Lan Deng, Baichuan GongRecently, instant delivery has been growing rapidly, with numerous platforms emerging to offer such services. Requestors dynamically arrive at the platform to place delivery service requests that detail their pickup locations, recipient locations, package weights, departure times, and willingness-to-pay (WTP). The platform then uses its dedicated riders, scattered in different places, to fulfill these
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Learning to generate synthetic human mobility data: A physics-regularized Gaussian process approach based on multiple kernel learning Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2024-09-21
Ekin Uğurel, Shuai Huang, Cynthia ChenPassively-generated mobile data has grown increasingly popular in the travel behavior (or human mobility) literature. A relatively untapped potential for passively-generated mobile data is synthetic population generation, which is the basis for any large-scale simulations for purposes ranging from state monitoring, policy evaluation, and digital twins. And yet, this significant potential may be hindered
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An aggregate matching and pick-up model for mobility-on-demand services Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2024-09-20
Xinwei Li, Jintao Ke, Hai Yang, Hai Wang, Yaqian ZhouThis paper presents an Aggregate Matching and Pick-up (AMP) model to delineate the matching and pick-up processes in mobility-on-demand (MoD) service markets by explicitly considering the matching mechanisms in terms of matching intervals and matching radii. With passenger demand rate, vehicle fleet size and matching strategies as inputs, the AMP model can well approximate drivers’ idle time and passengers’
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Kinetic Monte Carlo simulations of 1D and 2D traffic flows: Nonlocal models with generalized look-ahead rules Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2024-09-19
Yi SunThis paper presents a study on traffic flow models in one-dimensional (1D) and two-dimensional (2D) lattices. The models incorporate generalized look-ahead rules that consider nonlocal slow-down effects. The proposed cellular automata (CA) models use stochastic rules to determine the movement of cars based on the traffic configuration ahead of each car. Specifically, a look-ahead rule is used that
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Dynamic scheduling of flexible bus services with hybrid requests and fairness: Heuristics-guided multi-agent reinforcement learning with imitation learning Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2024-09-18
Weitiao Wu, Yanchen Zhu, Ronghui LiuFlexible bus is a class of demand-responsive transit that provides door-to-door service. It is gaining popularity now but also encounters many challenges, such as high dynamism, immediacy requirements, and financial sustainability. Scientific literature designs flexible bus services only for reservation demand, overlooking the potential market for immediate demand that can improve ride pooling and
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Local detouredness: A new phenomenon for modelling route choice and traffic assignment Transp. Res. Part B Methodol. (IF 5.8) Pub Date : 2024-09-13
Thomas Kjær Rasmussen, Lawrence Christopher Duncan, David Paul Watling, Otto Anker NielsenThis study introduces the novel concept of local detouredness, i.e. detours on subsections of a route, as a new phenomenon for understanding and modelling route choice. Traditionally, Stochastic User Equilibrium (SUE) traffic assignment models have been concerned with judging the attractiveness of a route by its total route cost. However, through empirical analysis we show that considering solely the