Transportation Research Part C-Emerging Technologies

Papers
(The TQCC of Transportation Research Part C-Emerging Technologies is 19. 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 2020-03-01 to 2024-03-01.)
ArticleCitations
Drone-aided routing: A literature review221
Stacked bidirectional and unidirectional LSTM recurrent neural network for forecasting network-wide traffic state with missing values203
Automated vehicle acceptance in China: Social influence and initial trust are key determinants193
A graph CNN-LSTM neural network for short and long-term traffic forecasting based on trajectory data192
Safe, efficient, and comfortable velocity control based on reinforcement learning for autonomous driving172
Forecasting road traffic speeds by considering area-wide spatio-temporal dependencies based on a graph convolutional neural network (GCN)129
Trajectory data-based traffic flow studies: A revisit126
Urban air mobility: A comprehensive review and comparative analysis with autonomous and electric ground transportation for informing future research126
Joint optimization of customer location clustering and drone-based routing for last-mile deliveries116
An ensemble deep learning approach for driver lane change intention inference114
Risk assessment based collision avoidance decision-making for autonomous vehicles in multi-scenarios113
Truck-drone team logistics: A heuristic approach to multi-drop route planning113
Analyzing the impact of automated vehicles on uncertainty and stability of the mixed traffic flow110
A survey on autonomous vehicle control in the era of mixed-autonomy: From physics-based to AI-guided driving policy learning107
A big-data driven approach to analyzing and modeling human mobility trend under non-pharmaceutical interventions during COVID-19 pandemic106
Mobility-on-demand: An empirical study of internet-based ride-hailing adoption factors, travel characteristics and mode substitution effects104
OpenACC. An open database of car-following experiments to study the properties of commercial ACC systems99
Yard crane and AGV scheduling in automated container terminal: A multi-robot task allocation framework96
Explaining shared micromobility usage, competition and mode choice by modelling empirical data from Zurich, Switzerland95
Decision making of autonomous vehicles in lane change scenarios: Deep reinforcement learning approaches with risk awareness95
An automated driving systems data acquisition and analytics platform95
Passenger comfort and trust on first-time use of a shared autonomous shuttle vehicle93
An analytical optimal control approach for virtually coupled high-speed trains with local and string stability92
Mixed platoon control of automated and human-driven vehicles at a signalized intersection: Dynamical analysis and optimal control92
Mitigate the range anxiety: Siting battery charging stations for electric vehicle drivers92
Real-time crash prediction on expressways using deep generative models91
GE-GAN: A novel deep learning framework for road traffic state estimation88
A nonconvex low-rank tensor completion model for spatiotemporal traffic data imputation84
Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network83
Automated vehicle-involved traffic flow studies: A survey of assumptions, models, speculations, and perspectives83
Cooperative merging control via trajectory optimization in mixed vehicular traffic82
Multi-vehicle routing problems with soft time windows: A multi-agent reinforcement learning approach82
Battery-electric transit vehicle scheduling with optimal number of stationary chargers81
A review of bicycle-sharing service planning problems80
Joint optimization of vehicle-group trajectory and signal timing: Introducing the white phase for mixed-autonomy traffic stream78
A variational autoencoder solution for road traffic forecasting systems: Missing data imputation, dimension reduction, model selection and anomaly detection76
Macroscopic modeling and dynamic control of on-street cruising-for-parking of autonomous vehicles in a multi-region urban road network75
Analytical analysis of the effect of maximum platoon size of connected and automated vehicles73
Field experiments on longitudinal characteristics of human driver behavior following an autonomous vehicle72
Examining the effects of emotional valence and arousal on takeover performance in conditionally automated driving72
Large-scale pavement roughness measurements with vehicle crowdsourced data using semi-supervised learning72
Classifying travelers' driving style using basic safety messages generated by connected vehicles: Application of unsupervised machine learning71
On the inefficiency of ride-sourcing services towards urban congestion71
Behavioural intention to use autonomous vehicles: Systematic review and empirical extension70
Urban ride-hailing demand prediction with multiple spatio-temporal information fusion network70
Graph Markov network for traffic forecasting with missing data70
Multi-community passenger demand prediction at region level based on spatio-temporal graph convolutional network68
Modeling and analyzing cyberattack effects on connected automated vehicular platoons68
The multiple flying sidekicks traveling salesman problem with variable drone speeds67
Optimizing bike sharing systems from the life cycle greenhouse gas emissions perspective67
Automated taxis’ dial-a-ride problem with ride-sharing considering congestion-based dynamic travel times67
A data driven typology of electric vehicle user types and charging sessions67
Learning traffic as a graph: A gated graph wavelet recurrent neural network for network-scale traffic prediction66
Cooperative adaptive cruise control for connected autonomous vehicles by factoring communication-related constraints64
Modeling the fundamental diagram of mixed human-driven and connected automated vehicles64
A residual spatio-temporal architecture for travel demand forecasting64
Charging station location problem: A comprehensive review on models and solution approaches63
Joint optimization of scheduling and capacity for mixed traffic with autonomous and human-driven buses: A dynamic programming approach63
Hybrid deep reinforcement learning based eco-driving for low-level connected and automated vehicles along signalized corridors62
Consumer preferences for Mobility-as-a-Service (MaaS) in Australia61
Dynamic holding control to avoid bus bunching: A multi-agent deep reinforcement learning framework61
About calibration of car-following dynamics of automated and human-driven vehicles: Methodology, guidelines and codes60
Value of time and reliability for urban pooled on-demand services60
A literature review of Artificial Intelligence applications in railway systems59
Toward human-vehicle collaboration: Review and perspectives on human-centered collaborative automated driving59
Dispatch of autonomous vehicles for taxi services: A deep reinforcement learning approach59
Integrated optimization of train stop planning and timetabling for commuter railways with an extended adaptive large neighborhood search metaheuristic approach59
The Multi-visit Traveling Salesman Problem with Multi-Drones58
Assessing traffic disturbance, efficiency, and safety of the mixed traffic flow of connected vehicles and traditional vehicles by considering human factors58
Modeling epidemic spreading through public transit using time-varying encounter network58
Differential variable speed limits control for freeway recurrent bottlenecks via deep actor-critic algorithm57
Cooperative decision-making for mixed traffic: A ramp merging example57
Adaptive Traffic Signal Control for large-scale scenario with Cooperative Group-based Multi-agent reinforcement learning57
A physics-informed deep learning paradigm for car-following models56
Data driven model free adaptive iterative learning perimeter control for large-scale urban road networks56
A comparison of online and in-person activity engagement: The case of shopping and eating meals55
Assessing bikeability with street view imagery and computer vision55
Automated eco-driving in urban scenarios using deep reinforcement learning54
Comfortable and energy-efficient speed control of autonomous vehicles on rough pavements using deep reinforcement learning54
Requiem on the positive effects of commercial adaptive cruise control on motorway traffic and recommendations for future automated driving systems53
Joint design of multimodal transit networks and shared autonomous mobility fleets53
Synthetic population and travel demand for Paris and Île-de-France based on open and publicly available data53
TrajGAIL: Generating urban vehicle trajectories using generative adversarial imitation learning52
A novel approach for real time crash prediction at signalized intersections52
Short-term origin-destination demand prediction in urban rail transit systems: A channel-wise attentive split-convolutional neural network method52
A column-and-row generation approach for the flying sidekick travelling salesman problem51
Distributed model predictive control of multi-vehicle systems with switching communication topologies51
A bi-level cooperative driving strategy allowing lane changes51
Joint predictions of multi-modal ride-hailing demands: A deep multi-task multi-graph learning-based approach50
DDP-GCN: Multi-graph convolutional network for spatiotemporal traffic forecasting50
Connected automated vehicle cooperative control with a deep reinforcement learning approach in a mixed traffic environment50
A sequence to sequence learning based car-following model for multi-step predictions considering reaction delay50
Modeling determinants of ridesourcing usage: A census tract-level analysis of Chicago50
Sharing the road with autonomous vehicles: Perceived safety and regulatory preferences50
Network-wide traffic signal control optimization using a multi-agent deep reinforcement learning50
The sustainability of shared mobility: Can a platform for shared rides reduce motorized traffic in cities?50
Evaluation and prediction of transportation resilience under extreme weather events: A diffusion graph convolutional approach49
A DQN-based intelligent control method for heavy haul trains on long steep downhill section49
All for one: Centralized optimization of truck platoons to improve roadway infrastructure sustainability48
Transferability improvement in short-term traffic prediction using stacked LSTM network48
Decentralized control of connected automated vehicle trajectories in mixed traffic at an isolated signalized intersection48
Influence of CAV clustering strategies on mixed traffic flow characteristics: An analysis of vehicle trajectory data48
On-demand ridesharing with optimized pick-up and drop-off walking locations48
Evaluating resilience in urban transportation systems for sustainability: A systems-based Bayesian network model47
Dynamic pricing and fleet management for electric autonomous mobility on demand systems47
Impacts of commercially available adaptive cruise control vehicles on highway stability and throughput47
What do we (Not) know about our future with automated vehicles?46
Convolutional neural networks with refined loss functions for the real-time crash risk analysis46
Simulation of price, customer behaviour and system impact for a cost-covering automated taxi system in Zurich46
Calibration and evaluation of responsibility-sensitive safety (RSS) in automated vehicle performance during cut-in scenarios46
A data driven method for OD matrix estimation45
Macroscopic parking dynamics modeling and optimal real-time pricing considering cruising-for-parking45
Energy-aware trajectory optimization of CAV platoons through a signalized intersection45
Data-driven trajectory prediction with weather uncertainties: A Bayesian deep learning approach44
Electric vehicle routing with charging/discharging under time-variant electricity prices44
A Bayesian network model to predict the effects of interruptions on train operations44
Train trajectory optimization for improved on-time arrival under parametric uncertainty44
Transit OD matrix estimation using smartcard data: Recent developments and future research challenges44
Probabilistic field approach for motorway driving risk assessment43
Trip-based graph partitioning in dynamic ridesharing43
Enhanced intelligent driver model for two-dimensional motion planning in mixed traffic43
Joint prediction of next location and travel time from urban vehicle trajectories using long short-term memory neural networks42
Deep neural networks for choice analysis: Extracting complete economic information for interpretation42
Collaborative optimization of last-train timetables with accessibility: A space-time network design based approach42
Cooperate or not? Exploring drivers’ interactions and response times to a lane-changing request in a connected environment42
Right-of-way reallocation for mixed flow of autonomous vehicles and human driven vehicles42
Applications of deep learning in congestion detection, prediction and alleviation: A survey42
New and emerging data forms in transportation planning and policy: Opportunities and challenges for “Track and Trace” data42
CLACD: A complete LAne-Changing decision modeling framework for the connected and traditional environments41
A real-time network-level traffic signal control methodology with partial connected vehicle information41
Deep neural networks for choice analysis: Architecture design with alternative-specific utility functions41
A customized deep learning approach to integrate network-scale online traffic data imputation and prediction41
A socio-technical model of autonomous vehicle adoption using ranked choice stated preference data41
The cooperative sorting strategy for connected and automated vehicle platoons41
Pedestrian Support in Intelligent Transportation Systems: Challenges, Solutions and Open issues40
Trajectory planning for connected and automated vehicles at isolated signalized intersections under mixed traffic environment40
Estimating key traffic state parameters through parsimonious spatial queue models40
Integrated route choice and assignment model for fixed and flexible public transport systems40
Exploring a large-scale multi-modal transportation recommendation system40
Domain adaptation from daytime to nighttime: A situation-sensitive vehicle detection and traffic flow parameter estimation framework40
The rebalancing of bike-sharing system under flow-type task window40
Empirical study on car-following characteristics of commercial automated vehicles with different headway settings39
Minimizing energy and cost in range-limited drone deliveries with speed optimization39
Network-wide traffic flow estimation with insufficient volume detection and crowdsourcing data38
A stepwise interpretable machine learning framework using linear regression (LR) and long short-term memory (LSTM): City-wide demand-side prediction of yellow taxi and for-hire vehicle (FHV) service38
Data-driven analysis on matching probability, routing distance and detour distance in ride-pooling services38
A generic simulation platform for cooperative adaptive cruise control under partially connected and automated environment38
Space-weighted information fusion using deep reinforcement learning: The context of tactical control of lane-changing autonomous vehicles and connectivity range assessment38
Optimal toll design problems under mixed traffic flow of human-driven vehicles and connected and autonomous vehicles38
Design and operation of dedicated lanes for connected and automated vehicles on motorways: A conceptual framework and research agenda38
Estimating MFDs, trip lengths and path flow distributions in a multi-region setting using mobile phone data38
Modeling, estimation, and control in large-scale urban road networks with remaining travel distance dynamics38
A survey on demand-responsive public bus systems38
AIS data driven general vessel destination prediction: A random forest based approach38
On-line aggressive driving identification based on in-vehicle kinematic parameters under naturalistic driving conditions38
Scalable low-rank tensor learning for spatiotemporal traffic data imputation37
Parking sharing problem with spatially distributed parking supplies37
Estimating network travel time reliability with network partitioning37
Impact of automated driving systems on road freight transport and electrified propulsion of heavy vehicles37
Stability-based analysis of autonomous intersection management with pedestrians37
Empirical analysis of large-scale multimodal traffic with multi-sensor data36
Comparing the usefulness of real-time driving aids in a connected environment during mandatory and discretionary lane-changing manoeuvres36
Exact methods for the traveling salesman problem with multiple drones35
Towards online prediction of safety-critical landing metrics in aviation using supervised machine learning35
A real-time crash prediction fusion framework: An imbalance-aware strategy for collision avoidance systems35
Drivers of participant’s choices of monthly mobility bundles: Key behavioural findings from the Sydney Mobility as a Service (MaaS) trial35
A multi-vehicle communication system to assess the safety and mobility of connected and automated vehicles35
Investigating private parking space owners’ propensity to engage in shared parking schemes under conditions of uncertainty using a hybrid random-parameter logit-cumulative prospect theoretic model35
Calibration and evaluation of the Responsibility-Sensitive Safety model of autonomous car-following maneuvers using naturalistic driving study data35
A data science framework for planning the growth of bicycle infrastructures35
Multi-objective optimization of traffic signals based on vehicle trajectory data at isolated intersections35
Refueling infrastructure planning in intercity networks considering route choice and travel time delay for mixed fleet of electric and conventional vehicles34
Competition between shared autonomous vehicles and public transit: A case study in Singapore34
Predicting lane-changing risk level based on vehicles’ space-series features: A pre-emptive learning approach34
DNEAT: A novel dynamic node-edge attention network for origin-destination demand prediction34
An integrated and personalized traveler information and incentive scheme for energy efficient mobility systems34
Urban network-wide traffic speed estimation with massive ride-sourcing GPS traces34
Congestion recognition for hybrid urban road systems via digraph convolutional network34
Centralised and decentralised signal timing optimisation approaches for network traffic control34
Analysis of the impact of maximum platoon size of CAVs on mixed traffic flow: An analytical and simulation method33
Discovering latent activity patterns from transit smart card data: A spatiotemporal topic model33
A spatiotemporal approach for traffic data imputation with complicated missing patterns33
From Twitter to traffic predictor: Next-day morning traffic prediction using social media data33
Service replanning in urban rail transit networks: Cross-line express trains for reducing the number of passenger transfers and travel time33
Safety challenges for autonomous vehicles in the absence of connectivity33
A novel reinforced dynamic graph convolutional network model with data imputation for network-wide traffic flow prediction33
Route guidance ranking procedures with human perception consideration for personalized public transport service33
A hybrid Delphi-AHP multi-criteria analysis of Moving Block and Virtual Coupling railway signalling32
A joint optimisation model for charger locating and electric bus charging scheduling considering opportunity fast charging and uncertainties32
Electric bus fleet composition and scheduling32
Energy-efficient train control using nonlinear bounded regenerative braking32
Pooled versus private ride-hailing: A joint revealed and stated preference analysis recognizing psycho-social factors32
Driver distraction detection based on vehicle dynamics using naturalistic driving data32
Day-to-day dynamic traffic assignment with imperfect information, bounded rationality and information sharing31
Evaluation of analytical approximation methods for the macroscopic fundamental diagram31
Multistep traffic forecasting by dynamic graph convolution: Interpretations of real-time spatial correlations31
On the morning commute problem with distant parking options in the era of autonomous vehicles31
Traffic congestion and travel time prediction based on historical congestion maps and identification of consensual days31
A cooperative driving framework for urban arterials in mixed traffic conditions31
Processing, assessing, and enhancing the Waymo autonomous vehicle open dataset for driving behavior research31
Dynamic modeling and real-time management of a system of EV fast-charging stations31
Regulating ridesourcing services with product differentiation and congestion externality31
Parking infrastructure design for repositioning autonomous vehicles31
AdapGL: An adaptive graph learning algorithm for traffic prediction based on spatiotemporal neural networks31
Electric vehicle fleet size for carsharing services considering on-demand charging strategy and battery degradation31
A two-dimensional car-following model for two-dimensional traffic flow problems31
Train timetabling with dynamic and random passenger demand: A stochastic optimization method31
Investigating the long- and short-term driving characteristics and incorporating them into car-following models31
Forecast network-wide traffic states for multiple steps ahead: A deep learning approach considering dynamic non-local spatial correlation and non-stationary temporal dependency31
Connected and automated vehicle distributed control for on-ramp merging scenario: A virtual rotation approach31
Inferring temporal motifs for travel pattern analysis using large scale smart card data30
Spatiotemporal trajectory characteristic analysis for traffic state transition prediction near expressway merge bottleneck30
Adoption and frequency of use of ride-hailing services in a European city: The case of Madrid30
Pedestrian intention prediction: A convolutional bottom-up multi-task approach30
Preferences for shared automated vehicles: A hybrid latent class modeling approach30
Real-time spatiotemporal prediction and imputation of traffic status based on LSTM and Graph Laplacian regularized matrix factorization30
Conflict analytics through the vehicle safety space in mixed traffic flows using UAV image sequences30
Do autonomous vehicles drive like humans? A Turing approach and an application to SAE automation Level 2 cars30
Route choice behaviour and travel information in a congested network: Static and dynamic recursive models30
Unsupervised hierarchical methodology of maritime traffic pattern extraction for knowledge discovery30
Efficiently informing crowds – Experiments and simulations on route choice and decision making in pedestrian crowds with wheelchair users30
A review of public transport transfer coordination at the tactical planning phase30
A Pareto-improving and revenue-neutral scheme to manage mass transit congestion with heterogeneous commuters29
To be online or in-store: Analysis of retail, grocery, and food shopping in New York city29
Estimating latent demand of shared mobility through censored Gaussian Processes29
Estimating multi-class dynamic origin-destination demand through a forward-backward algorithm on computational graphs29
Link-based traffic state estimation and prediction for arterial networks using license-plate recognition data29
Macroscopic network-level traffic models: Bridging fifty years of development toward the next era29
Using autonomous vehicles or shared cars? Results of a stated choice experiment29
Key determinants and heterogeneous frailties in passenger loyalty toward customized buses: An empirical investigation of the subscription termination hazard of users29
How many are enough?: Investigating the effectiveness of multiple conflict indicators for crash frequency-by-severity estimation by automated traffic conflict analysis29
Double-balanced relocation optimization of one-way car-sharing system with real-time requests28
Generalized model for mapping bicycle ridership with crowdsourced data28
Modeling and managing ridesharing in a multi-modal network with an aggregate traffic representation: A doubly dynamical approach28
Lane-change-aware connected automated vehicle trajectory optimization at a signalized intersection with multi-lane roads28
Injecting knowledge in data-driven vehicle trajectory predictors28
Cooperative signal-free intersection control using virtual platooning and traffic flow regulation28
Traffic management with autonomous and connected vehicles at single-lane roundabouts28
Analytical approach to solve the problem of aircraft passenger boarding during the coronavirus pandemic28
Truck–drone hybrid routing problem with time-dependent road travel time28
A hybrid management scheme with parking pricing and parking permit for a many-to-one park and ride network28
Influence of transportation network on transmission heterogeneity of COVID-19 in China28
Anticipated Collision Time (ACT): A two-dimensional surrogate safety indicator for trajectory-based proactive safety assessment28
Disentangling the city traffic rhythms: A longitudinal analysis of MFD patterns over a year28
Graph to sequence learning with attention mechanism for network-wide multi-step-ahead flight delay prediction28
Hierarchical integrated machine learning model for predicting flight departure delays and duration in series28
Urban flow prediction with spatial–temporal neural ODEs28
Efficient proactive vehicle relocation for on-demand mobility service with recurrent neural networks28
Event triggered rolling horizon based systematical trajectory planning for merging platoons at mainline-ramp intersection27
Predicting cycle-level traffic movements at signalized intersections using machine learning models27
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