Journal of Intelligent Transportation Systems

Papers
(The TQCC of Journal of Intelligent Transportation Systems is 8. 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 2020-12-01 to 2024-12-01.)
ArticleCitations
Electric vehicle charging demand forecasting using deep learning model57
Driver’s black box: a system for driver risk assessment using machine learning and fuzzy logic33
Stabilizing mixed cooperative adaptive cruise control traffic flow to balance capacity using car-following model28
A hybrid autoregressive fractionally integrated moving average and nonlinear autoregressive neural network model for short-term traffic flow prediction24
Performance evaluation of a state-of-the-art automotive radar and corresponding modeling approaches based on a large labeled dataset21
Reinforcement learning-enabled genetic algorithm for school bus scheduling21
A prediction model with wavelet neural network optimized by the chicken swarm optimization for on-ramps metering of the urban expressway21
Network and station-level bike-sharing system prediction: a San Francisco bay area case study20
An analytical approach to real-time bus signal priority system for isolated intersections17
Safety impacts and benefits of connected and automated vehicles: How real are they?17
Online longitudinal trajectory planning for connected and autonomous vehicles in mixed traffic flow with deep reinforcement learning approach16
Smartphone-based parking guidance algorithm and implementation16
To re-route, or not to re-route: Impact of real-time re-routing in urban road networks16
Multilevel weather detection based on images: a machine learning approach with histogram of oriented gradient and local binary pattern-based features15
Traffic state classification and prediction based on trajectory data15
Short-term traffic flow prediction in bike-sharing networks15
Worst-case scenarios identification approach for the evaluation of advanced driver assistance systems in intelligent/autonomous vehicles under multiple conditions14
Extending the adaptive time gap car-following model to enhance local and string stability for adaptive cruise control systems14
Deep Q learning-based traffic signal control algorithms: Model development and evaluation with field data14
Decentralized cooperative crossing at unsignalized intersections via vehicle-to-vehicle communication in mixed traffic flows14
Cut through traffic like a snake: cooperative adaptive cruise control with successive platoon lane-change capability13
Optimization model for regional green wave coordinated control based on ring-and-barrier structure12
New fuel consumption model considering vehicular speed, acceleration, and jerk12
Controlling passenger flow to mitigate the effects of platform overcrowding on train dwell time12
Metaheuristic approach for designing robust traffic signal timings to effectively serve varying traffic demand12
Multiagent reinforcement learning for autonomous driving in traffic zones with unsignalized intersections11
A two-stage trajectory planning model for cooperative truck platooning on freeways11
Analysis on autonomous vehicle detection performance according to various road geometry settings11
Heterogeneity assessment in incident duration modelling: Implications for development of practical strategies for small & large scale incidents11
Modeling and simulation of dynamic lane reversal using a cell transmission model10
Estimating cycle-level real-time traffic movements at signalized intersections10
A macroscopic approach for assessing the environmental performance of shared, automated, electric mobility in an intercity corridor10
Optimizing a vehicle’s route in an on-demand ridesharing system in which users might walk10
Reconstructing vehicle trajectories on freeways based on motion detection data of connected and automated vehicles10
Takeover request (TOR) effects during different automated vehicle failures10
Comparison of different Bayesian methods for estimating error bars with incident duration prediction10
Fusion attention mechanism bidirectional LSTM for short-term traffic flow prediction9
Robust control strategy for platoon of connected and autonomous vehicles considering falsified information injected through communication links9
Operational and safety impacts of integrated variable speed limit with dynamic hard shoulder running9
Modeling vehicle collision instincts over road midblock using deep learning9
Machine learning based real-time prediction of freeway crash risk using crowdsourced probe vehicle data9
Estimation of lane-level travel time distributions under a connected environment9
Passenger satisfaction evaluation of public transport using alternative queuing method under hesitant linguistic environment8
Machine learning techniques to predict reactionary delays and other associated key performance indicators on British railway network8
Learning electric vehicle driver range anxiety with an initial state of charge-oriented gradient boosting approach8
Variable speed limit strategy with anticipatory lane changing decisions8
An integrated modeling framework for active traffic management and its applications in the Washington, DC area8
Network-level turning movement counts estimation using traffic controller event-based data8
Vehicle trajectory extraction at the exit areas of urban freeways based on a novel composite algorithms framework8
Comparative evaluation of adaptive fuzzy inference system and adaptive neuro-fuzzy inference system for mandatory lane changing decisions on freeways8
A traffic responsive control framework for signalized junctions based on hybrid traffic flow representation8
Constructing spatiotemporal driving volatility profiles for connected and automated vehicles in existing highway networks8
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