OOIR: Observatory of International Research

Papers

(The H4-Index of Transportation Research Part C-Emerging Technologies is 58. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)

Article	Citations
Drone-aided routing: A literature review	267
Urban air mobility: A comprehensive review and comparative analysis with autonomous and electric ground transportation for informing future research	177
Risk assessment based collision avoidance decision-making for autonomous vehicles in multi-scenarios	135
A survey on autonomous vehicle control in the era of mixed-autonomy: From physics-based to AI-guided driving policy learning	134
Decision making of autonomous vehicles in lane change scenarios: Deep reinforcement learning approaches with risk awareness	133
OpenACC. An open database of car-following experiments to study the properties of commercial ACC systems	132
Mixed platoon control of automated and human-driven vehicles at a signalized intersection: Dynamical analysis and optimal control	121
A big-data driven approach to analyzing and modeling human mobility trend under non-pharmaceutical interventions during COVID-19 pandemic	120
An automated driving systems data acquisition and analytics platform	117
Explaining shared micromobility usage, competition and mode choice by modelling empirical data from Zurich, Switzerland	115
Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network	111
Automated vehicle-involved traffic flow studies: A survey of assumptions, models, speculations, and perspectives	108
An analytical optimal control approach for virtually coupled high-speed trains with local and string stability	107
Multi-vehicle routing problems with soft time windows: A multi-agent reinforcement learning approach	102
A literature review of Artificial Intelligence applications in railway systems	99
Classifying travelers' driving style using basic safety messages generated by connected vehicles: Application of unsupervised machine learning	97
Charging station location problem: A comprehensive review on models and solution approaches	96
On the inefficiency of ride-sourcing services towards urban congestion	92
Toward human-vehicle collaboration: Review and perspectives on human-centered collaborative automated driving	91
Analytical analysis of the effect of maximum platoon size of connected and automated vehicles	90
Multi-community passenger demand prediction at region level based on spatio-temporal graph convolutional network	90
Macroscopic modeling and dynamic control of on-street cruising-for-parking of autonomous vehicles in a multi-region urban road network	87
Hybrid deep reinforcement learning based eco-driving for low-level connected and automated vehicles along signalized corridors	82
Assessing traffic disturbance, efficiency, and safety of the mixed traffic flow of connected vehicles and traditional vehicles by considering human factors	81
Assessing bikeability with street view imagery and computer vision	80

A physics-informed deep learning paradigm for car-following models	80
About calibration of car-following dynamics of automated and human-driven vehicles: Methodology, guidelines and codes	80
The multiple flying sidekicks traveling salesman problem with variable drone speeds	79
The Multi-visit Traveling Salesman Problem with Multi-Drones	78
TrajGAIL: Generating urban vehicle trajectories using generative adversarial imitation learning	78
Large-scale pavement roughness measurements with vehicle crowdsourced data using semi-supervised learning	78
Short-term origin-destination demand prediction in urban rail transit systems: A channel-wise attentive split-convolutional neural network method	78
Synthetic population and travel demand for Paris and Île-de-France based on open and publicly available data	77
Adaptive Traffic Signal Control for large-scale scenario with Cooperative Group-based Multi-agent reinforcement learning	75
Connected automated vehicle cooperative control with a deep reinforcement learning approach in a mixed traffic environment	74
Automated eco-driving in urban scenarios using deep reinforcement learning	73
Network-wide traffic signal control optimization using a multi-agent deep reinforcement learning	72
A sequence to sequence learning based car-following model for multi-step predictions considering reaction delay	71
Requiem on the positive effects of commercial adaptive cruise control on motorway traffic and recommendations for future automated driving systems	70
Modeling epidemic spreading through public transit using time-varying encounter network	67
Cooperative decision-making for mixed traffic: A ramp merging example	66
Comfortable and energy-efficient speed control of autonomous vehicles on rough pavements using deep reinforcement learning	66
DDP-GCN: Multi-graph convolutional network for spatiotemporal traffic forecasting	65
Decentralized control of connected automated vehicle trajectories in mixed traffic at an isolated signalized intersection	65
Evaluating resilience in urban transportation systems for sustainability: A systems-based Bayesian network model	64
What do we (Not) know about our future with automated vehicles?	64
Impacts of commercially available adaptive cruise control vehicles on highway stability and throughput	63
Joint predictions of multi-modal ride-hailing demands: A deep multi-task multi-graph learning-based approach	63
On-demand ridesharing with optimized pick-up and drop-off walking locations	62
A bi-level cooperative driving strategy allowing lane changes	62
Transferability improvement in short-term traffic prediction using stacked LSTM network	61
A column-and-row generation approach for the flying sidekick travelling salesman problem	61
Analysis of the impact of maximum platoon size of CAVs on mixed traffic flow: An analytical and simulation method	61
Trajectory planning for connected and automated vehicles at isolated signalized intersections under mixed traffic environment	60
Dynamic pricing and fleet management for electric autonomous mobility on demand systems	60
A survey on demand-responsive public bus systems	59
Sharing the road with autonomous vehicles: Perceived safety and regulatory preferences	59
Transit OD matrix estimation using smartcard data: Recent developments and future research challenges	58