Transportation Research Part B-Methodological

(The H4-Index of Transportation Research Part B-Methodological is 40. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 500 papers]. The publications cover those that have been published in the past four years, i.e., from 2019-12-01 to 2023-12-01.)
Pricing and equilibrium in on-demand ride-pooling markets129
Optimizing matching time interval and matching radius in on-demand ride-sourcing markets102
Stabilizing mixed vehicular platoons with connected automated vehicles: An H-infinity approach94
Two-dimensional vehicular movement modelling at intersections based on optimal control86
Two-echelon vehicle routing problem with time windows and mobile satellites78
Fifty years of the bottleneck model: A bibliometric review and future research directions78
On the supply curve of ride-hailing systems75
Drone routing with energy function: Formulation and exact algorithm75
Ride-Sourcing modeling and pricing in non-equilibrium two-sided markets74
Green technology adoption for fleet deployment in a shipping network73
Integrating first-mile pickup and last-mile delivery on shared vehicle routes for efficient urban e-commerce distribution71
Ridesharing user equilibrium problem under OD-based surge pricing strategy69
Electric vehicle routing problem with machine learning for energy prediction67
Adaptive perimeter control for multi-region accumulation-based models with state delays66
Integrated reward scheme and surge pricing in a ridesourcing market65
Dynamic prediction-based relocation policies in one-way station-based carsharing systems with complete journey reservations63
The electric vehicle routing problem with time windows and synchronised mobile battery swapping60
Dynamic optimization strategies for on-demand ride services platform: Surge pricing, commission rate, and incentives58
Joint optimization of train scheduling and maintenance planning in a railway network: A heuristic algorithm using Lagrangian relaxation56
Robust optimization models for integrated train stop planning and timetabling with passenger demand uncertainty55
On string stability of a mixed and heterogeneous traffic flow: A unifying modelling framework52
Emergency vehicle lane pre-clearing: From microscopic cooperation to routing decision making51
A branch-and-cut algorithm for the vehicle routing problem with drones50
H∞ robust perimeter flow control in urban networks with partial information feedback49
Car-following behavior characteristics of adaptive cruise control vehicles based on empirical experiments49
On ride-pooling and traffic congestion48
Customer behavioural modelling of order cancellation in coupled ride-sourcing and taxi markets47
Constructing a fundamental diagram for traffic flow with automated vehicles: Methodology and demonstration47
A joint liner ship path, speed and deployment problem under emission reduction measures46
Integrated line configuration and frequency determination with passenger path assignment in urban rail transit networks45
An s-shaped three-parameter (S3) traffic stream model with consistent car following relationship45
Pricing with risk sensitive competing container shipping lines: Will risk seeking do more good than harm?44
Fractional time-varying grey traffic flow model based on viscoelastic fluid and its application44
To pool or not to pool: Equilibrium, pricing and regulation42
Calibration and validation of multi-reservoir MFD models: A case study in Lyon42
An actor-critic deep reinforcement learning approach for metro train scheduling with rolling stock circulation under stochastic demand42
Blockchain technology for port logistics capability: Exclusive or sharing41
A bi-objective timetable optimization model incorporating energy allocation and passenger assignment in an energy-regenerative metro system41
Enhancing discrete choice models with representation learning41
Coupling time-indexed and big-M formulations for real-time train scheduling during metro service disruptions40
Can dynamic ride-sharing reduce traffic congestion?40
Macroscopic traffic flow modeling with physics regularized Gaussian process: A new insight into machine learning applications in transportation40