A5049301642- Transportation Planning and Optimization
- Transportation and Mobility Innovations
- Urban Transport and Accessibility
- Traffic control and management
- Traffic Prediction and Management Techniques
- Vehicle Routing Optimization Methods
- Air Traffic Management and Optimization
- Aviation Industry Analysis and Trends
- Human Mobility and Location-Based Analysis
- Economic and Environmental Valuation
- Data Management and Algorithms
- Traffic and Road Safety
- Infrastructure Maintenance and Monitoring
- Asphalt Pavement Performance Evaluation
- Evaluation and Optimization Models
- Facility Location and Emergency Management
- Educational Reforms and Innovations
- Innovative Educational Techniques
- Simulation and Modeling Applications
- Urban and Freight Transport Logistics
- Network Traffic and Congestion Control
- Smart Parking Systems Research
- Optimization and Search Problems
- Software System Performance and Reliability
- Risk and Portfolio Optimization
Shanghai Electric (China)
2025
Shanghai Zhangjiang Laboratory
2025
Moscow State University
2025
Lomonosov Moscow State University
2025
Technical University of Denmark
2019-2024
Lancaster University
2023-2024
Wuhan University
2022-2024
Institute of Economics
2024
Guangzhou Sport University
2024
Chongqing Normal University
2024
This paper examines the interaction between spatial variations in binder concentration (i.e. cement slurry concentration) and situ water content, cement-mixed soil, using field model data as well statistical analysis random simulation. The are first analysed to shed light on variation including its scale of fluctuation. A is then developed which takes into account content. leads a two-parameter for prediction mean, variance probability distribution function strength cement-treated soil....
Deep cement mixing is widely used to improve soft clayey soils as part of stability intervention in deep excavation and tunnelling. The quality the improvement often evaluated by measuring strength cored samples post-installation. Although spatial variability cement-mixed soil well recognised, there still no well-accepted framework for interpreting core data. In particular, it unclear how a representative should be derived from This issue examined herein using data two field cases. are first...
The design of urban bus transit systems aims to determine a network configuration with set lines and associated frequencies that achieve the targeted objective. This paper presents methodology framework formulate solve problem (TNDP). It first proposes TNDP taking into account travel time stochasticity. A robust optimization model is formulated for proposed problem, which minimize sum expected value operator cost its variability multiplied by weighting value. heuristic solution approach,...
Abstract: This article proposes a cell-based multi-class dynamic traffic assignment problem that considers the random evolution of states. Travelers are assumed to select routes based on perceived effective travel time, where time is sum mean and safety margin. The proposed formulated as fixed point problem, which includes Monte–Carlo-based stochastic cell transmission model capture effect physical queues states during flow propagation. solved by self-regulated averaging method. results...
Abstract: This article proposes a nonlinear complementarity problem (NCP) formulation for the risk-aversive stochastic transit assignment in which in-vehicle travel time, waiting capacity, and effect of congestion are considered as variables simultaneously both their means variances incorporated into formulation. A new model is developed captured proposed NCP to account different effects on-board passengers at stops. reliability-based user equilibrium condition also defined based on...
Slot scheduling has emerged as an issue of major concern at congested airports. A commonly used metric for assessing airport slot efficiency is total schedule displacement. In addition to efficiency, fairness also been identified another important criterion. However, the literature currently does not provide sufficient modelling capabilities investigating single efficiency-fairness trade-off. The objective this paper develop and solve a novel model which considers simultaneously objectives....
With the growing attention toward developing a multimodal transport system to enhance urban mobility, there is an increasing need construct new infrastructures, rebuild or expand existing ones, accommodate current and newly generated travel demand. Therefore, this study develops bi-level model that simultaneously determines location capacity of transfer infrastructure be built considering elastic demand in network. The upper-level problem formulated as mixed-integer linear programming...
Abstract The introduction of vehicle automation, shared mobility, and electrification will bring about changes in urban transportation, land use, energy, the environment. accurate estimation these effects is therefore essential for sustainable development. However, existing research on estimating energy environmental autonomous electric vehicles generally ignores interaction between land-use transportation systems. This study, therefore, analyzes long-term (SAVs) from perspective use...
A hybrid enhanced artificial bee colony algorithm (HEABC) is proposed for solving the problem of bus network design. The intended to reduce weighted sum number transfers and total travel time users through restructured routes new frequencies without increased fleet sizes. HEABC relies mainly on determine route structure, frequency determined by frequency-setting heuristic during fitness evaluation. For an illustration its performance, was compared with a generic variant HEABC. results...
This study develops link-based and approach-based variational inequality (VI) formulations for the frequency-based transit assignment with supply uncertainty, where link flows flow on each outgoing from node are decision variables, respectively. Both mean variance of travel cost, including covariance in-vehicle costs, captured in both formulations. To address costs between different links same line, an augmented route-section network representation is developed, allowing us to apply dynamic...
Fairness constitutes an important criterion for allocating scarce resources among self-interested parties. The capacity of congested airports is a resource which allocated in the form slots to airlines operate their flights. Traditionally, optimisation slot allocation efficiency has been considered as primary making decisions at capacity-constrained airports. expressed function displacement, defined difference between time requested by and Recent research work fairness additional objective....
This study devises a novel hybrid public-transit service that uses modular autonomous vehicles (MAVs) coupled in one fleet travels fixed base route. MAVs can decouple from the at beginning of selected road segments and recouple to end these segments. allows decoupled MAV serve passengers who request door-to-door within deviated area, while other complete their trips via regular service. develops an optimisation model determine segments, be corresponding timetable minimises total passenger...
In recent years, Ising machines have emerged as a promising hardware solution for tackling combinatorial optimization problems (COPs). However, existing solvers, whether based on discrete-time or continuous-time approaches, often face challenges in balancing quality, scalability, and computational speed. Discrete-time solvers typically suffer from slow convergence due to the sequential nature of spin updates, while lack effective annealing mechanisms, limiting their accuracy. To address...