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 2020-05-01 to 2024-05-01.)
ArticleCitations
Safety evaluation of connected and automated vehicles in mixed traffic with conventional vehicles at intersections72
Electric vehicle charging demand forecasting using deep learning model37
Spatial-temporal traffic congestion identification and correlation extraction using floating car data32
Road surface friction prediction using long short-term memory neural network based on historical data31
Driver’s black box: a system for driver risk assessment using machine learning and fuzzy logic27
Stabilizing mixed cooperative adaptive cruise control traffic flow to balance capacity using car-following model23
A proof-of-concept field experiment on cooperative lane change maneuvers using a prototype connected automated vehicle testing platform22
Adaptive traffic signal control algorithms based on probe vehicle data21
The potential impacts of automated vehicles on pedestrian safety in a four-season country19
A prediction model with wavelet neural network optimized by the chicken swarm optimization for on-ramps metering of the urban expressway18
Network and station-level bike-sharing system prediction: a San Francisco bay area case study17
A multistudy investigation of drivers and passengers’ gesture and voice input preferences for in-vehicle interactions17
Solving urban electric transit network problem by integrating Pareto artificial fish swarm algorithm and genetic algorithm16
Performance evaluation of a state-of-the-art automotive radar and corresponding modeling approaches based on a large labeled dataset16
Reinforcement learning-enabled genetic algorithm for school bus scheduling16
A hybrid autoregressive fractionally integrated moving average and nonlinear autoregressive neural network model for short-term traffic flow prediction14
Safety margins – a novel approach from risk homeostasis theory for evaluating the impact of advanced driver assistance systems on driving behavior in near-crash events14
An analytical approach to real-time bus signal priority system for isolated intersections14
Smartphone-based parking guidance algorithm and implementation14
Multilevel weather detection based on images: a machine learning approach with histogram of oriented gradient and local binary pattern-based features13
Crowd logistics: Understanding auction-based pricing and couriers’ strategies in crowdsourcing package delivery13
Safety impacts and benefits of connected and automated vehicles: How real are they?13
Traffic state classification and prediction based on trajectory data13
Online longitudinal trajectory planning for connected and autonomous vehicles in mixed traffic flow with deep reinforcement learning approach12
Geographical window based structural similarity index for origin-destination matrices comparison12
New England merge: a novel cooperative merge control method for improving highway work zone mobility and safety12
Metaheuristic approach for designing robust traffic signal timings to effectively serve varying traffic demand12
To re-route, or not to re-route: Impact of real-time re-routing in urban road networks12
Worst-case scenarios identification approach for the evaluation of advanced driver assistance systems in intelligent/autonomous vehicles under multiple conditions12
Analysis of global positioning system based bus travel time data and its use for advanced public transportation system applications12
Extending the adaptive time gap car-following model to enhance local and string stability for adaptive cruise control systems12
Optimization model for regional green wave coordinated control based on ring-and-barrier structure11
Short-term traffic flow prediction in bike-sharing networks11
A two-sided lateral gap continuum model and its numerical simulation for non-lane based heterogeneous traffic environment10
A two-stage trajectory planning model for cooperative truck platooning on freeways10
Decentralized cooperative crossing at unsignalized intersections via vehicle-to-vehicle communication in mixed traffic flows10
Modeling vehicle collision instincts over road midblock using deep learning10
Takeover request (TOR) effects during different automated vehicle failures9
Reconstructing vehicle trajectories on freeways based on motion detection data of connected and automated vehicles9
Cut through traffic like a snake: cooperative adaptive cruise control with successive platoon lane-change capability9
Integrated mainline and ramp signal control for expressway on-ramp bottleneck with unequal lane-setting9
Deep Q learning-based traffic signal control algorithms: Model development and evaluation with field data9
Estimating cycle-level real-time traffic movements at signalized intersections9
A motion planner enabling cooperative lane changing: Reducing congestion under partially connected and automated environment9
A queue length estimation and prediction model for long freeway off-ramps9
Controlling passenger flow to mitigate the effects of platform overcrowding on train dwell time9
Comparison of different Bayesian methods for estimating error bars with incident duration prediction9
Optimizing a vehicle’s route in an on-demand ridesharing system in which users might walk8
A traffic responsive control framework for signalized junctions based on hybrid traffic flow representation8
Analysis on autonomous vehicle detection performance according to various road geometry settings8
Passenger satisfaction evaluation of public transport using alternative queuing method under hesitant linguistic environment8
Variable speed limit strategy with anticipatory lane changing decisions8
A macroscopic approach for assessing the environmental performance of shared, automated, electric mobility in an intercity corridor8
Towards application of light detection and ranging sensor to traffic detection: an investigation of its built-in features and installation techniques8
New fuel consumption model considering vehicular speed, acceleration, and jerk8
Feedback perimeter control with online estimation of maximum throughput for an incident-affected road network8
0.026696920394897