Transportation Research Part C-Emerging Technologies

Article	Citations
Drone-aided routing: A literature review	227
Stacked bidirectional and unidirectional LSTM recurrent neural network for forecasting network-wide traffic state with missing values	210
Safe, efficient, and comfortable velocity control based on reinforcement learning for autonomous driving	181
Trajectory data-based traffic flow studies: A revisit	132
Urban air mobility: A comprehensive review and comparative analysis with autonomous and electric ground transportation for informing future research	131
Forecasting road traffic speeds by considering area-wide spatio-temporal dependencies based on a graph convolutional neural network (GCN)	130
Joint optimization of customer location clustering and drone-based routing for last-mile deliveries	117
An ensemble deep learning approach for driver lane change intention inference	116
Truck-drone team logistics: A heuristic approach to multi-drop route planning	115
Risk assessment based collision avoidance decision-making for autonomous vehicles in multi-scenarios	114
A survey on autonomous vehicle control in the era of mixed-autonomy: From physics-based to AI-guided driving policy learning	109
A big-data driven approach to analyzing and modeling human mobility trend under non-pharmaceutical interventions during COVID-19 pandemic	107
Mobility-on-demand: An empirical study of internet-based ride-hailing adoption factors, travel characteristics and mode substitution effects	105
OpenACC. An open database of car-following experiments to study the properties of commercial ACC systems	103
Decision making of autonomous vehicles in lane change scenarios: Deep reinforcement learning approaches with risk awareness	99
An automated driving systems data acquisition and analytics platform	98
Yard crane and AGV scheduling in automated container terminal: A multi-robot task allocation framework	97
Explaining shared micromobility usage, competition and mode choice by modelling empirical data from Zurich, Switzerland	97
Passenger comfort and trust on first-time use of a shared autonomous shuttle vehicle	96
An analytical optimal control approach for virtually coupled high-speed trains with local and string stability	96
Mitigate the range anxiety: Siting battery charging stations for electric vehicle drivers	94
Real-time crash prediction on expressways using deep generative models	92
Mixed platoon control of automated and human-driven vehicles at a signalized intersection: Dynamical analysis and optimal control	92
GE-GAN: A novel deep learning framework for road traffic state estimation	88
Automated vehicle-involved traffic flow studies: A survey of assumptions, models, speculations, and perspectives	87

Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network	86
A nonconvex low-rank tensor completion model for spatiotemporal traffic data imputation	84
Multi-vehicle routing problems with soft time windows: A multi-agent reinforcement learning approach	83
Cooperative merging control via trajectory optimization in mixed vehicular traffic	82
Battery-electric transit vehicle scheduling with optimal number of stationary chargers	82
A review of bicycle-sharing service planning problems	82
Joint optimization of vehicle-group trajectory and signal timing: Introducing the white phase for mixed-autonomy traffic stream	80
A variational autoencoder solution for road traffic forecasting systems: Missing data imputation, dimension reduction, model selection and anomaly detection	78
On the inefficiency of ride-sourcing services towards urban congestion	78
Analytical analysis of the effect of maximum platoon size of connected and automated vehicles	78
Macroscopic modeling and dynamic control of on-street cruising-for-parking of autonomous vehicles in a multi-region urban road network	75
Field experiments on longitudinal characteristics of human driver behavior following an autonomous vehicle	75
Classifying travelers' driving style using basic safety messages generated by connected vehicles: Application of unsupervised machine learning	74
Large-scale pavement roughness measurements with vehicle crowdsourced data using semi-supervised learning	72
Behavioural intention to use autonomous vehicles: Systematic review and empirical extension	72
Urban ride-hailing demand prediction with multiple spatio-temporal information fusion network	72
Multi-community passenger demand prediction at region level based on spatio-temporal graph convolutional network	71
Graph Markov network for traffic forecasting with missing data	71
The multiple flying sidekicks traveling salesman problem with variable drone speeds	70
Modeling and analyzing cyberattack effects on connected automated vehicular platoons	70
Charging station location problem: A comprehensive review on models and solution approaches	69
A data driven typology of electric vehicle user types and charging sessions	69
Learning traffic as a graph: A gated graph wavelet recurrent neural network for network-scale traffic prediction	67
Optimizing bike sharing systems from the life cycle greenhouse gas emissions perspective	67
Modeling the fundamental diagram of mixed human-driven and connected automated vehicles	66
Cooperative adaptive cruise control for connected autonomous vehicles by factoring communication-related constraints	66
Joint optimization of scheduling and capacity for mixed traffic with autonomous and human-driven buses: A dynamic programming approach	64
A literature review of Artificial Intelligence applications in railway systems	64
About calibration of car-following dynamics of automated and human-driven vehicles: Methodology, guidelines and codes	64
A residual spatio-temporal architecture for travel demand forecasting	64
Hybrid deep reinforcement learning based eco-driving for low-level connected and automated vehicles along signalized corridors	64
Dynamic holding control to avoid bus bunching: A multi-agent deep reinforcement learning framework	62
Consumer preferences for Mobility-as-a-Service (MaaS) in Australia	62
Integrated optimization of train stop planning and timetabling for commuter railways with an extended adaptive large neighborhood search metaheuristic approach	61
Dispatch of autonomous vehicles for taxi services: A deep reinforcement learning approach	60
Toward human-vehicle collaboration: Review and perspectives on human-centered collaborative automated driving	60
Adaptive Traffic Signal Control for large-scale scenario with Cooperative Group-based Multi-agent reinforcement learning	60
Assessing traffic disturbance, efficiency, and safety of the mixed traffic flow of connected vehicles and traditional vehicles by considering human factors	60
The Multi-visit Traveling Salesman Problem with Multi-Drones	60
Value of time and reliability for urban pooled on-demand services	60
A comparison of online and in-person activity engagement: The case of shopping and eating meals	59
Data driven model free adaptive iterative learning perimeter control for large-scale urban road networks	59
Assessing bikeability with street view imagery and computer vision	58
Joint design of multimodal transit networks and shared autonomous mobility fleets	58
Modeling epidemic spreading through public transit using time-varying encounter network	58
A physics-informed deep learning paradigm for car-following models	57
Cooperative decision-making for mixed traffic: A ramp merging example	57
Differential variable speed limits control for freeway recurrent bottlenecks via deep actor-critic algorithm	57
A novel approach for real time crash prediction at signalized intersections	56
Requiem on the positive effects of commercial adaptive cruise control on motorway traffic and recommendations for future automated driving systems	56

Synthetic population and travel demand for Paris and Île-de-France based on open and publicly available data	56
TrajGAIL: Generating urban vehicle trajectories using generative adversarial imitation learning	56
A sequence to sequence learning based car-following model for multi-step predictions considering reaction delay	55
Comfortable and energy-efficient speed control of autonomous vehicles on rough pavements using deep reinforcement learning	55
Automated eco-driving in urban scenarios using deep reinforcement learning	55
Short-term origin-destination demand prediction in urban rail transit systems: A channel-wise attentive split-convolutional neural network method	55
A bi-level cooperative driving strategy allowing lane changes	54
Network-wide traffic signal control optimization using a multi-agent deep reinforcement learning	53
Evaluating resilience in urban transportation systems for sustainability: A systems-based Bayesian network model	52
Connected automated vehicle cooperative control with a deep reinforcement learning approach in a mixed traffic environment	52
Modeling determinants of ridesourcing usage: A census tract-level analysis of Chicago	52
A column-and-row generation approach for the flying sidekick travelling salesman problem	52
Distributed model predictive control of multi-vehicle systems with switching communication topologies	52
On-demand ridesharing with optimized pick-up and drop-off walking locations	51
Joint predictions of multi-modal ride-hailing demands: A deep multi-task multi-graph learning-based approach	51
The sustainability of shared mobility: Can a platform for shared rides reduce motorized traffic in cities?	51
DDP-GCN: Multi-graph convolutional network for spatiotemporal traffic forecasting	50
Transferability improvement in short-term traffic prediction using stacked LSTM network	50
A DQN-based intelligent control method for heavy haul trains on long steep downhill section	50
Evaluation and prediction of transportation resilience under extreme weather events: A diffusion graph convolutional approach	50
Sharing the road with autonomous vehicles: Perceived safety and regulatory preferences	50
Impacts of commercially available adaptive cruise control vehicles on highway stability and throughput	49
What do we (Not) know about our future with automated vehicles?	49
All for one: Centralized optimization of truck platoons to improve roadway infrastructure sustainability	49
Decentralized control of connected automated vehicle trajectories in mixed traffic at an isolated signalized intersection	49
A data driven method for OD matrix estimation	48
Calibration and evaluation of responsibility-sensitive safety (RSS) in automated vehicle performance during cut-in scenarios	48
Influence of CAV clustering strategies on mixed traffic flow characteristics: An analysis of vehicle trajectory data	48
Transit OD matrix estimation using smartcard data: Recent developments and future research challenges	48
Dynamic pricing and fleet management for electric autonomous mobility on demand systems	47
Simulation of price, customer behaviour and system impact for a cost-covering automated taxi system in Zurich	47
Convolutional neural networks with refined loss functions for the real-time crash risk analysis	47
Joint prediction of next location and travel time from urban vehicle trajectories using long short-term memory neural networks	45
Train trajectory optimization for improved on-time arrival under parametric uncertainty	45
Trip-based graph partitioning in dynamic ridesharing	45
Electric vehicle routing with charging/discharging under time-variant electricity prices	45
Macroscopic parking dynamics modeling and optimal real-time pricing considering cruising-for-parking	45
Enhanced intelligent driver model for two-dimensional motion planning in mixed traffic	45
Data-driven trajectory prediction with weather uncertainties: A Bayesian deep learning approach	45
Energy-aware trajectory optimization of CAV platoons through a signalized intersection	45
A Bayesian network model to predict the effects of interruptions on train operations	44
A real-time network-level traffic signal control methodology with partial connected vehicle information	44
Applications of deep learning in congestion detection, prediction and alleviation: A survey	44
Probabilistic field approach for motorway driving risk assessment	44
Trajectory planning for connected and automated vehicles at isolated signalized intersections under mixed traffic environment	43
Deep neural networks for choice analysis: Extracting complete economic information for interpretation	43
Pedestrian Support in Intelligent Transportation Systems: Challenges, Solutions and Open issues	43
Cooperate or not? Exploring drivers’ interactions and response times to a lane-changing request in a connected environment	42
New and emerging data forms in transportation planning and policy: Opportunities and challenges for “Track and Trace” data	42
Domain adaptation from daytime to nighttime: A situation-sensitive vehicle detection and traffic flow parameter estimation framework	42
Minimizing energy and cost in range-limited drone deliveries with speed optimization	42
Collaborative optimization of last-train timetables with accessibility: A space-time network design based approach	42
Empirical study on car-following characteristics of commercial automated vehicles with different headway settings	42
Right-of-way reallocation for mixed flow of autonomous vehicles and human driven vehicles	42
Stability-based analysis of autonomous intersection management with pedestrians	42
A survey on demand-responsive public bus systems	41
A customized deep learning approach to integrate network-scale online traffic data imputation and prediction	41
CLACD: A complete LAne-Changing decision modeling framework for the connected and traditional environments	41
The cooperative sorting strategy for connected and automated vehicle platoons	41
A socio-technical model of autonomous vehicle adoption using ranked choice stated preference data	41
Space-weighted information fusion using deep reinforcement learning: The context of tactical control of lane-changing autonomous vehicles and connectivity range assessment	40
Integrated route choice and assignment model for fixed and flexible public transport systems	40
Exploring a large-scale multi-modal transportation recommendation system	40
A generic simulation platform for cooperative adaptive cruise control under partially connected and automated environment	40
Estimating key traffic state parameters through parsimonious spatial queue models	40
Estimating MFDs, trip lengths and path flow distributions in a multi-region setting using mobile phone data	40
Optimal toll design problems under mixed traffic flow of human-driven vehicles and connected and autonomous vehicles	39
Modeling, estimation, and control in large-scale urban road networks with remaining travel distance dynamics	39
Analysis of the impact of maximum platoon size of CAVs on mixed traffic flow: An analytical and simulation method	39
Network-wide traffic flow estimation with insufficient volume detection and crowdsourcing data	39
Design and operation of dedicated lanes for connected and automated vehicles on motorways: A conceptual framework and research agenda	39
Empirical analysis of large-scale multimodal traffic with multi-sensor data	38
Parking sharing problem with spatially distributed parking supplies	38
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) service	38
On-line aggressive driving identification based on in-vehicle kinematic parameters under naturalistic driving conditions	38
AIS data driven general vessel destination prediction: A random forest based approach	38
Data-driven analysis on matching probability, routing distance and detour distance in ride-pooling services	38
Calibration and evaluation of the Responsibility-Sensitive Safety model of autonomous car-following maneuvers using naturalistic driving study data	37
Towards online prediction of safety-critical landing metrics in aviation using supervised machine learning	37
Exact methods for the traveling salesman problem with multiple drones	37

Impact of automated driving systems on road freight transport and electrified propulsion of heavy vehicles	37
Drivers of participant’s choices of monthly mobility bundles: Key behavioural findings from the Sydney Mobility as a Service (MaaS) trial	36
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 model	36
Scalable low-rank tensor learning for spatiotemporal traffic data imputation	36
Comparing the usefulness of real-time driving aids in a connected environment during mandatory and discretionary lane-changing manoeuvres	36
A multi-vehicle communication system to assess the safety and mobility of connected and automated vehicles	35
A real-time crash prediction fusion framework: An imbalance-aware strategy for collision avoidance systems	35
A data science framework for planning the growth of bicycle infrastructures	35
Route guidance ranking procedures with human perception consideration for personalized public transport service	35
DNEAT: A novel dynamic node-edge attention network for origin-destination demand prediction	35
Multi-objective optimization of traffic signals based on vehicle trajectory data at isolated intersections	35
Predicting lane-changing risk level based on vehicles’ space-series features: A pre-emptive learning approach	35
From Twitter to traffic predictor: Next-day morning traffic prediction using social media data	35
Competition between shared autonomous vehicles and public transit: A case study in Singapore	35
An integrated and personalized traveler information and incentive scheme for energy efficient mobility systems	34
Energy-efficient train control using nonlinear bounded regenerative braking	34
Discovering latent activity patterns from transit smart card data: A spatiotemporal topic model	34
Centralised and decentralised signal timing optimisation approaches for network traffic control	34
Congestion recognition for hybrid urban road systems via digraph convolutional network	34
Refueling infrastructure planning in intercity networks considering route choice and travel time delay for mixed fleet of electric and conventional vehicles	34
AdapGL: An adaptive graph learning algorithm for traffic prediction based on spatiotemporal neural networks	34
A novel reinforced dynamic graph convolutional network model with data imputation for network-wide traffic flow prediction	33
Service replanning in urban rail transit networks: Cross-line express trains for reducing the number of passenger transfers and travel time	33
A spatiotemporal approach for traffic data imputation with complicated missing patterns	33
Safety challenges for autonomous vehicles in the absence of connectivity	33
Regulating ridesourcing services with product differentiation and congestion externality	33
Electric bus fleet composition and scheduling	33
Dynamic modeling and real-time management of a system of EV fast-charging stations	33
A hybrid Delphi-AHP multi-criteria analysis of Moving Block and Virtual Coupling railway signalling	33
A joint optimisation model for charger locating and electric bus charging scheduling considering opportunity fast charging and uncertainties	33
Processing, assessing, and enhancing the Waymo autonomous vehicle open dataset for driving behavior research	33
Evaluation of analytical approximation methods for the macroscopic fundamental diagram	33
Pooled versus private ride-hailing: A joint revealed and stated preference analysis recognizing psycho-social factors	33
Macroscopic network-level traffic models: Bridging fifty years of development toward the next era	33
Using autonomous vehicles or shared cars? Results of a stated choice experiment	32
Train timetabling with dynamic and random passenger demand: A stochastic optimization method	32
Route choice behaviour and travel information in a congested network: Static and dynamic recursive models	32
Driver distraction detection based on vehicle dynamics using naturalistic driving data	32
Day-to-day dynamic traffic assignment with imperfect information, bounded rationality and information sharing	32
A review of public transport transfer coordination at the tactical planning phase	32
Parking infrastructure design for repositioning autonomous vehicles	32
Connected and automated vehicle distributed control for on-ramp merging scenario: A virtual rotation approach	32
A two-dimensional car-following model for two-dimensional traffic flow problems	32
Investigating the long- and short-term driving characteristics and incorporating them into car-following models	32
On the morning commute problem with distant parking options in the era of autonomous vehicles	32
A Pareto-improving and revenue-neutral scheme to manage mass transit congestion with heterogeneous commuters	31
Inferring temporal motifs for travel pattern analysis using large scale smart card data	31
Spatiotemporal trajectory characteristic analysis for traffic state transition prediction near expressway merge bottleneck	31
Electric vehicle fleet size for carsharing services considering on-demand charging strategy and battery degradation	31
Multistep traffic forecasting by dynamic graph convolution: Interpretations of real-time spatial correlations	31
Traffic congestion and travel time prediction based on historical congestion maps and identification of consensual days	31
Unsupervised hierarchical methodology of maritime traffic pattern extraction for knowledge discovery	31
Anticipated Collision Time (ACT): A two-dimensional surrogate safety indicator for trajectory-based proactive safety assessment	31
Adoption and frequency of use of ride-hailing services in a European city: The case of Madrid	31
Preferences for shared automated vehicles: A hybrid latent class modeling approach	31
Forecast network-wide traffic states for multiple steps ahead: A deep learning approach considering dynamic non-local spatial correlation and non-stationary temporal dependency	31
A cooperative driving framework for urban arterials in mixed traffic conditions	31
Efficiently informing crowds – Experiments and simulations on route choice and decision making in pedestrian crowds with wheelchair users	31
Disentangling the city traffic rhythms: A longitudinal analysis of MFD patterns over a year	30
Pedestrian intention prediction: A convolutional bottom-up multi-task approach	30
Estimating latent demand of shared mobility through censored Gaussian Processes	30
Neuro-dynamic programming for optimal control of macroscopic fundamental diagram systems	30
Do autonomous vehicles drive like humans? A Turing approach and an application to SAE automation Level 2 cars	30
Real-time spatiotemporal prediction and imputation of traffic status based on LSTM and Graph Laplacian regularized matrix factorization	30
Conflict analytics through the vehicle safety space in mixed traffic flows using UAV image sequences	30
To be online or in-store: Analysis of retail, grocery, and food shopping in New York city	30
How many are enough?: Investigating the effectiveness of multiple conflict indicators for crash frequency-by-severity estimation by automated traffic conflict analysis	30
Traffic management with autonomous and connected vehicles at single-lane roundabouts	29
Link-based traffic state estimation and prediction for arterial networks using license-plate recognition data	29
Key determinants and heterogeneous frailties in passenger loyalty toward customized buses: An empirical investigation of the subscription termination hazard of users	29
A parallel computing approach to solve traffic assignment using path-based gradient projection algorithm	29
Urban flow prediction with spatial–temporal neural ODEs	29
Estimating multi-class dynamic origin-destination demand through a forward-backward algorithm on computational graphs	29
Graph to sequence learning with attention mechanism for network-wide multi-step-ahead flight delay prediction	29
Truck–drone hybrid routing problem with time-dependent road travel time	29
Lane-change-aware connected automated vehicle trajectory optimization at a signalized intersection with multi-lane roads	29
Integrated optimal control strategies for freeway traffic mixed with connected automated vehicles: A model-based reinforcement learning approach	29
Energy-efficient timetabling and rolling stock circulation planning based on automatic train operation levels for metro lines	29
A novel urban congestion pricing scheme considering travel cost perception and level of service	29
Injecting knowledge in data-driven vehicle trajectory predictors	29
A deep convolutional neural network based approach for vehicle classification using large-scale GPS trajectory data	28
Predicting traffic demand during hurricane evacuation using Real-time data from transportation systems and social media	28
Memory-augmented dynamic graph convolution networks for traffic data imputation with diverse missing patterns	28
Modeling and managing ridesharing in a multi-modal network with an aggregate traffic representation: A doubly dynamical approach	28
TrajGAT: A map-embedded graph attention network for real-time vehicle trajectory imputation of roadside perception	28
Hierarchical integrated machine learning model for predicting flight departure delays and duration in series	28
Influence of transportation network on transmission heterogeneity of COVID-19 in China	28
Real-world ride-hailing vehicle repositioning using deep reinforcement learning	28
Mixed traffic flow of human driven vehicles and automated vehicles on dynamic transportation networks	28
A bi-level cooperative operation approach for AGV based automated valet parking	28
Cooperative signal-free intersection control using virtual platooning and traffic flow regulation	28
Efficient proactive vehicle relocation for on-demand mobility service with recurrent neural networks	28
Regulating mobility-on-demand services: Tri-level model and Bayesian optimization solution approach	28
Analytical approach to solve the problem of aircraft passenger boarding during the coronavirus pandemic	28
City-wide traffic control: Modeling impacts of cordon queues	28