Transportation Research Part C-Emerging Technologies

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 2021-04-01 to 2025-04-01.)
ArticleCitations
Physics informed deep generative model for vehicle trajectory reconstruction at arterial intersections in connected vehicle environment229
A knowledge-driven, generalizable decision-making framework for autonomous driving via cognitive representation alignment175
Learning the on-demand adaptable matching range with a reinforcement learning166
Integrated demand-oriented and energy-efficiency train timetabling and rolling stock circulation planning for an urban rail transit line163
Understanding bus delay patterns under different temporal and weather conditions: A Bayesian Gaussian mixture model159
Electric truck routing and platooning problem considering vehicle charging and driver assignment on highway networks144
Dynamic multi-region MFD stochastic user equilibrium: Formulation and parameter estimation in a large-scale case study138
Virtual car following based cooperative control of connected automated vehicles in complex scenarios: A roundabout example134
Estimating the robustness of public transport schedules using machine learning130
An enhanced artificial bee colony algorithm for the green bike repositioning problem with broken bikes119
Impacts of the introduction of autonomous taxi on travel behaviors of the experienced user: Evidence from a one-year paid taxi service in Guangzhou, China113
Integrated optimization of traffic signals and vehicle trajectories for mixed traffic at signalized intersections: A two-level hierarchical control framework109
Competition between shared autonomous vehicles and public transit: A case study in Singapore106
Estimate the limit of predictability in short-term traffic forecasting: An entropy-based approach106
Worldwide city transport typology prediction with sentence-BERT based supervised learning via Wikipedia102
Optimizing the integrated off-ramp signal control to prevent queue spillback to the freeway mainline101
A clustering-based quantitative analysis of the interdependent relationship between spatial and energy anomalies in ADS-B trajectory data100
Robust optimal control of connected and automated vehicle platoons through improved particle swarm optimization98
Editorial Board97
Editorial Board96
Real-time forecasting of driver-vehicle dynamics on 3D roads: A deep-learning framework leveraging Bayesian optimisation96
Range-constrained traffic assignment for electric vehicles under heterogeneous range anxiety91
Influence of transportation network on transmission heterogeneity of COVID-19 in China89
Mind the gap: Modelling difference between censored and uncensored electric vehicle charging demand87
Failed lane-changing detection and prediction using naturalistic vehicle trajectories87
Centralized vehicle trajectory planning on general platoon sorting problem with multi-vehicle lane changing85
Spatio-temporal pricing algorithm for ride-hailing platforms where drivers can decline ride requests84
Real-time train motion parameter estimation using an Unscented Kalman Filter82
Editorial Board79
Editorial Board78
Multi-scale asphalt pavement deformation detection and measurement based on machine learning of full field-of-view digital surface data77
Planning of reliable targeted evacuation under the threat of disasters77
Editorial Board77
How public interest and concerns about autonomous vehicles change over time: A study of repeated cross-sectional travel survey data of the Puget Sound Region in the Northwest United States73
Asymmetric repulsive force model: A new car-following model with psycho-physical characteristics69
Editorial Board69
A Weibit-Based sequential transit assignment model based on hyperpath graph and generalized extreme value network representation69
Editorial Board67
Editorial Board67
An optimization-free approximation Framework for Connected and Automated Vehicles Eco-Trajectory Planning Under limited computing capacity66
A multi-hop control scheme for traffic management66
Routing of multi-modal autonomous vehicles for system optimal flows and average travel cost equilibrium over time66
i-CLTP: Integrated contrastive learning with transformer framework for traffic state prediction and network-wide analysis65
Safety-aware human-lead vehicle platooning by proactively reacting to uncertain human behaving63
Microtransit adoption in the wake of the COVID-19 pandemic: Evidence from a choice experiment with transit and car commuters62
Optimized locating of sensors for approximating the macroscopic fundamental diagram: A PCA-based approach61
Fleet cost and capacity effects of automated vehicles in mixed traffic networks: A system optimal assignment problem61
What motivates the use of shared mobility systems and their integration with public transit? Evidence from a choice experiment study61
Modeling the evolution of incident impact in urban road networks by leveraging the spatiotemporal propagation of shockwaves61
Integrating multi-scale inspection, maintenance, rehabilitation, and reconstruction decisions into system-level pavement management systems61
Energy-efficient train control incorporating inherent reduced-power and hybrid braking characteristics of railway vehicles61
Spatiotemporal traffic data completion with truncated minimax-concave penalty61
Safe autonomous lane changes and impact on traffic flow in a connected vehicle environment60
Evaluating railway junction infrastructure: A queueing-based, timetable-independent analysis60
Autonomous anomaly detection on traffic flow time series with reinforcement learning60
Urban rail-bus-walk network service integration towards accessibility and heat exposure consideration: Models and column generation solution approaches59
Theory-data dual driven car following model in traffic flow mixed of AVs and HDVs58
How simple behavioural modifications can influence evacuation efficiency of crowds: Part 1. Decision making of individuals58
0.22384190559387