Journal: Transportation Research Part B: Methodological

Abbreviation

Transp. Res., Part B: Methodol.

Publisher

Elsevier

Journal Volumes

ISSN

0191-2615
1879-2367

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Publications1 - 10 of 45
  • Dynamic traffic assignment: A review of the methodological advances for environmentally sustainable road transportation applications
    Item type: Review Article
    Wang, Yi; Szeto, Wai Y.; Han, Ke; et al. (2018)
    Transportation Research Part B: Methodological
  • Intershopping duration
    Item type: Journal Article
    Bhat, Chandra R.; Frusti, Teresa; Zhao, Huimin; et al. (2004)
    Transportation Research Part B: Methodological
  • Advanced continuous-discrete model for joint time-use expenditure and mode choice estimation
    Item type: Journal Article
    Jokubauskaite, Simona; Hössinger, Reinhard; Aschauer, Florian; et al. (2019)
    Transportation Research Part B: Methodological
    This paper presents the joint time-use, expenditure and mode choice model, based on the theoretical framework of Jara-Díaz and Guevara (2003), for the first time estimated in panel setting while using surveyed expenditure data. This extended estimation takes into account multiple trips per individual, as well as mode availability. The model was estimated using the novel dataset gathered in Austria in 2015. It includes individual-specific information on time-use, expenditures and mode choice. As a result, we calculate the value of leisure (VoL), travel time savings (VTTS) and time assigned to travel (VTAT), that are relevant inputs to appraisals of transport policies. We also show that, at least for the Austrian working population, the omission of expenditures in the model might result in a significant overestimation of the value of leisure (16.83%); the VoL (9.29€/h) was estimated to be considerably lower than the wage rate (12.14€/h) and the VTTS varies strongly between the modes (9.98€/h for car, 3.91€/h for public transport, 9.25€/h for bike and 17.53€/h for walk). The joint estimation framework produced positive estimates of VTAT (5.38€/h) only for public transport, reflecting the favorable public transport conditions in Austria.
  • Bayesian estimator for Logit Mixtures with inter- and intra-consumer heterogeneity
    Item type: Journal Article
    Becker, Felix; Danaf, Mazen; Song, Xiang; et al. (2018)
    Transportation Research Part B: Methodological
  • Enhancing model-based feedback perimeter control with data-driven online adaptive optimization
    Item type: Journal Article
    Kouvelas, Anastasios; Saeedmanesh, Mohammadreza; Geroliminis, Nikolas (2017)
    Transportation Research Part B: Methodological
  • On the application of variational theory to urban networks
    Item type: Journal Article
    Tilg, Gabriel; Ambühl, Lukas; Batista, Sergio; et al. (2021)
    Transportation Research Part B: Methodological
    The well-known Lighthill–Whitham–Richards (LWR) theory is the fundamental pillar for most macroscopic traffic models. In the past, many methods were developed to numerically derive solutions for LWR problems. Examples for such numerical solution schemes are the cell transmission model, the link transmission model, and the variational theory (VT) of traffic flow. So far, the eulerian formulation of VT found applications in the fields of traffic modelling, macroscopic fundamental diagram estimation, multi-modal traffic analyses, and data fusion. However, these studies apply VT only at the link or corridor level. To the best of our knowledge, there is no methodology yet to apply VT at the network level. We address this gap by developing a VT-based framework applicable to networks. Our model allows us to account for source terms (e.g. inflows and outflows at intersections) and the propagation of spillbacks between adjacent corridors consistent with kinematic wave theory (KWT). We show that the trajectories extracted from a microscopic simulation fit the predicted traffic states from our model for a simple intersection with both source terms and spillbacks. We also use this simple example to illustrate the accuracy of the proposed model, and the ability to model complex bottlenecks. Additionally, we apply our model to the Sioux Falls network and again compare the results to those from a microscopic KWT simulation. Our results indicate a close fit of traffic states, but with substantially lower computational cost. The developed methodology is useful for extending existing VT applications to the network level, for network-wide traffic state estimations in real-time, or other applications within a model-based optimization framework.
  • Multi-train trajectory optimization for energy efficiency and delay recovery on single-track railway lines
    Item type: Journal Article
    Wang, Pengling; Goverde, Rob M.P. (2017)
    Transportation Research Part B: Methodological
  • On the optimization of the bus network design: An analytical approach based on the three-dimensional macroscopic fundamental diagram
    Item type: Journal Article
    Dakic, Igor; Leclercq, Ludovic; Menendez, Monica (2021)
    Transportation Research Part B: Methodological
    Multiple factors can influence the public transport level of service. All take root in the network structure and the operating regime, i.e. how the bus lines are arranged atop the street network and how the service frequency is adjusted to meet urban mobility patterns. This is known as the bus network design problem and has been the subject of several studies. The problem is so challenging that most studies until now resort to strong assumptions such as a static description of the peak hour demand, homogeneous user behavior, and equal trip lengths. Potential effects of different types of user behavior and trip lengths patterns on the user and/or operator cost have not been investigated whatsoever. Moreover, none of the existing studies have considered the effects of bus network structure on private car users, the level of interactions between the modes, and the passenger mode choice that depends on traffic conditions. This paper aims to close this gap and provide a general framework considering multiple trip length patterns, two types of user behavior, and the effects that the bus network structure might have on the traffic performance and passenger mode choice. For modeling different trip length patterns, we use the trip length distribution as an intermediate level of abstraction. To capture complex modal interactions and quantify the operating speeds, we apply the recently proposed three-dimensional macroscopic fundamental diagram. We use the operating speed for each mode to determine the mode choice at the trip length level. This way, we are able to solve the optimal bus network design problem under the free-flow/saturated traffic conditions in an analytical way, while considering more realistic settings including a dynamic description of the peak hour demand, mixed traffic, and different mode choice decisions depending on trip lengths and walking preferences. Numerical analysis reveals that all the tested factors, including demand intensity, user behavior, and trip length patterns, have significant effects on the operator and user cost function. Results show that the probability of choosing any given mode follows certain distribution that varies across the trip length patterns, indicating the importance of modeling the mode choice at the trip length level. Furthermore, the results indicate that users can benefit if they are willing to adjust the number of transfers to minimize the walking distance at the origin and the destination. Moreover, we show that the optimal bus network design determined for the uniform trip pattern underestimates the number of required buses, which leads to passenger congestion at stops during the peak period. This, however, does not happen when we take into account the actual trip length distribution for the bus network design. A comparison with a simplified approach that considers the bus system only, reveals the value of accounting for the complex bi-modal interactions, especially for higher demand levels. Finally, we show that by allowing the design parameters to vary across cardinal directions we provide more flexibility for the bus system to serve the passenger demand while reducing the operator cost compared to the existing approaches.
  • Integration of real-time traffic management and train control for rail networks
    Item type: Journal Article
    Luan, Xiaojie; Wang, Yihui; De Schutter, Bart; et al. (2018)
    Transportation Research Part B: Methodological
  • On the design of an optimal flexible bus dispatching system with modular bus units
    Item type: Journal Article
    Dakic, Igor; Yang, Kaidi; Menendez, Monica; et al. (2021)
    Transportation Research Part B: Methodological
    This study proposes a novel flexible bus dispatching system in which a fleet of fully automated modular bus units, together with conventional buses, serves the passenger demand. These modular bus units can either operate individually or combined (forming larger modular buses with a higher passenger capacity). This provides enormous flexibility to manage the service frequencies and vehicle allocation, reducing thereby the operating cost and improving passenger mobility. We develop an optimization model used to determine the optimal composition of modular bus units and the optimal service frequency at which the buses (both conventional and modular) should be dispatched across each bus line. We explicitly account for the dynamics of traffic congestion and complex interactions between the modes at the network level based on the recently proposed three-dimensional macroscopic fundamental diagram (3D-MFD). To the best of our knowledge, this is the first application of the 3D-MFD and modular bus units for the frequency setting problem in the domain of bus operations. Numerical results show the improvements in the total system cost made by adjusting the number of combined modular bus units and their dispatching frequencies to the evolution of both, the car and the bus passenger demand. A comparison with the commonly used approach that considers only the bus system (neglecting the complex multimodal interactions and congestion propagation) reveals the value of the proposed modeling framework. Finally, a sensitivity analysis of the effect of the operating unit cost of modular bus units, the size of the bus network, and the size of the bus fleet sheds light on the robustness of the proposed optimization framework.
Publications1 - 10 of 45