Search Results - "Transportation research. Part C, Emerging technologies"
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Shared autonomous vehicle services: A comprehensive review
Published in Transportation research. Part C, Emerging technologies (01-02-2020)“…•This work comprehensively consolidates studies in the rapidly emerging field of SAV.•Foreseen SAV impacts are categorised into seven groups.•An SAV typology…”
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Dissipation of stop-and-go waves via control of autonomous vehicles: Field experiments
Published in Transportation research. Part C, Emerging technologies (01-04-2018)“…•Experiments on a circular track with 20+ vehicles show stop-and-go waves emerge.•Control of an autonomous vehicle can dampen stop-and-go waves in field…”
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Deep learning for short-term traffic flow prediction
Published in Transportation research. Part C, Emerging technologies (01-06-2017)“…•A deep learning architecture that captures nonlinear spatio-temporal flow effects.•Traffic predictions during special events, a Chicago Bears football game…”
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The roles of initial trust and perceived risk in public’s acceptance of automated vehicles
Published in Transportation research. Part C, Emerging technologies (01-01-2019)“…•We proposed and empirically tested an autonomous vehicle (AV) acceptance model.•Trust was the most critical factor in promoting AV acceptance.•Perceived…”
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Influence of connected and autonomous vehicles on traffic flow stability and throughput
Published in Transportation research. Part C, Emerging technologies (01-10-2016)“…•Simulation framework with different technology-appropriate car following models.•Stability analysis of traffic stream for different connected/autonomous…”
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Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach
Published in Transportation research. Part C, Emerging technologies (01-12-2017)“…•Propose the fusion convolutional long short-term memory network (FCL-Net).•Fusion of convolutional LSTM layers, standard LSTM layers and convolutional…”
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What drives people to accept automated vehicles? Findings from a field experiment
Published in Transportation research. Part C, Emerging technologies (01-10-2018)“…•A field study was conducted to explain public acceptance of automated vehicles (AVs).•AV experience increased trust, PU, and PEU related to self-driving…”
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A survey on autonomous vehicle control in the era of mixed-autonomy: From physics-based to AI-guided driving policy learning
Published in Transportation research. Part C, Emerging technologies (01-04-2021)“…•It serves as an introduction and overview of the potentially useful models and methodologies from artificial intelligence (AI) into the field of…”
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Predicting station-level hourly demand in a large-scale bike-sharing network: A graph convolutional neural network approach
Published in Transportation research. Part C, Emerging technologies (01-12-2018)“…•Propose Graph Convolutional Neural Network with Data Driven Graph Filter (GCNN-DDGF).•Propose Recurrent GCNN-DDGF to capture the temporal…”
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Long short-term memory neural network for traffic speed prediction using remote microwave sensor data
Published in Transportation research. Part C, Emerging technologies (01-05-2015)“…•A Long Short-Term Memory Neural Network (LSTM) is developed for travel speed prediction.•The LSTM NN can capture the long-term temporal dependency for time…”
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Assessing public opinions of and interest in new vehicle technologies: An Austin perspective
Published in Transportation research. Part C, Emerging technologies (01-06-2016)“…•We analyze Austinites’ opinions on connected and autonomous vehicles (CAVs).•We estimate their willingness to pay (WTP) for CAVs and related…”
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What have we learned? A review of stated preference and choice studies on autonomous vehicles
Published in Transportation research. Part C, Emerging technologies (01-01-2019)“…•This paper reviews stated preference/choice studies related to autonomous vehicles.•Classification based on components of opinions and attitudes, and study…”
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Drone-aided routing: A literature review
Published in Transportation research. Part C, Emerging technologies (01-11-2020)“…•We present a review of the recent contributions on drone-aided routing problems.•We provide a description of the technological background.•We focus on…”
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Stacked bidirectional and unidirectional LSTM recurrent neural network for forecasting network-wide traffic state with missing values
Published in Transportation research. Part C, Emerging technologies (01-09-2020)“…•A stacked bidirectional and unidirectional LSTM architecture for traffic forecasting.•An LSTM structure with an imputation unit to infer missing values is…”
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A hybrid deep learning based traffic flow prediction method and its understanding
Published in Transportation research. Part C, Emerging technologies (01-05-2018)“…•This paper addresses the multi-step ahead prediction tasks.•Develop a deep learning-based approach to fully mine spatial-temporal features of traffic…”
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Inferring transportation modes from GPS trajectories using a convolutional neural network
Published in Transportation research. Part C, Emerging technologies (01-01-2018)“…•A CNN architecture is proposed to infer transportation modes from GPS trajectories.•An adaptable and efficient layout for the input layer of the CNN is…”
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Detection and tracking of pedestrians and vehicles using roadside LiDAR sensors
Published in Transportation research. Part C, Emerging technologies (01-03-2019)“…•Roadside LiDAR data processing procedure.•All-traffic trajectories.•A new application field of LiDAR sensors. Light Detection and Ranging (LiDAR) is a remote…”
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Real-time motion planning methods for autonomous on-road driving: State-of-the-art and future research directions
Published in Transportation research. Part C, Emerging technologies (01-11-2015)“…•In-depth analysis of motion planning methods for autonomous on-road driving.•Path, manoeuvre and trajectory motion planning approaches are compared and…”
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A graph CNN-LSTM neural network for short and long-term traffic forecasting based on trajectory data
Published in Transportation research. Part C, Emerging technologies (01-03-2020)“…Traffic forecasting is an important research area in Intelligent Transportation Systems that is focused on anticipating traffic in order to mitigate…”
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The multiple flying sidekicks traveling salesman problem: Parcel delivery with multiple drones
Published in Transportation research. Part C, Emerging technologies (01-01-2020)“…•A new extension to the flying sidekick TSP is presented.•This problem assigns one truck and multiple heterogeneous drones to deliver parcels.•Queueing of drone…”
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