Search Results - "Transportation research. Part C, Emerging technologies"

Refine Results
  1. 1

    Shared autonomous vehicle services: A comprehensive review by Narayanan, Santhanakrishnan, Chaniotakis, Emmanouil, Antoniou, Constantinos

    “…•This work comprehensively consolidates studies in the rapidly emerging field of SAV.•Foreseen SAV impacts are categorised into seven groups.•An SAV typology…”
    Get full text
    Journal Article
  2. 2
  3. 3

    Deep learning for short-term traffic flow prediction by Polson, Nicholas G., Sokolov, Vadim O.

    “…•A deep learning architecture that captures nonlinear spatio-temporal flow effects.•Traffic predictions during special events, a Chicago Bears football game…”
    Get full text
    Journal Article
  4. 4

    The roles of initial trust and perceived risk in public’s acceptance of automated vehicles by Zhang, Tingru, Tao, Da, Qu, Xingda, Zhang, Xiaoyan, Lin, Rui, Zhang, Wei

    “…•We proposed and empirically tested an autonomous vehicle (AV) acceptance model.•Trust was the most critical factor in promoting AV acceptance.•Perceived…”
    Get full text
    Journal Article
  5. 5

    Influence of connected and autonomous vehicles on traffic flow stability and throughput by Talebpour, Alireza, Mahmassani, Hani S.

    “…•Simulation framework with different technology-appropriate car following models.•Stability analysis of traffic stream for different connected/autonomous…”
    Get full text
    Journal Article
  6. 6

    Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach by Ke, Jintao, Zheng, Hongyu, Yang, Hai, Chen, Xiqun (Michael)

    “…•Propose the fusion convolutional long short-term memory network (FCL-Net).•Fusion of convolutional LSTM layers, standard LSTM layers and convolutional…”
    Get full text
    Journal Article
  7. 7

    What drives people to accept automated vehicles? Findings from a field experiment by Xu, Zhigang, Zhang, Kaifan, Min, Haigen, Wang, Zhen, Zhao, Xiangmo, Liu, Peng

    “…•A field study was conducted to explain public acceptance of automated vehicles (AVs).•AV experience increased trust, PU, and PEU related to self-driving…”
    Get full text
    Journal Article
  8. 8

    A survey on autonomous vehicle control in the era of mixed-autonomy: From physics-based to AI-guided driving policy learning by Di, Xuan, Shi, Rongye

    “…•It serves as an introduction and overview of the potentially useful models and methodologies from artificial intelligence (AI) into the field of…”
    Get full text
    Journal Article
  9. 9

    Predicting station-level hourly demand in a large-scale bike-sharing network: A graph convolutional neural network approach by Lin, Lei, He, Zhengbing, Peeta, Srinivas

    “…•Propose Graph Convolutional Neural Network with Data Driven Graph Filter (GCNN-DDGF).•Propose Recurrent GCNN-DDGF to capture the temporal…”
    Get full text
    Journal Article
  10. 10

    Long short-term memory neural network for traffic speed prediction using remote microwave sensor data by Ma, Xiaolei, Tao, Zhimin, Wang, Yinhai, Yu, Haiyang, Wang, Yunpeng

    “…•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…”
    Get full text
    Journal Article
  11. 11

    Assessing public opinions of and interest in new vehicle technologies: An Austin perspective by Bansal, Prateek, Kockelman, Kara M., Singh, Amit

    “…•We analyze Austinites’ opinions on connected and autonomous vehicles (CAVs).•We estimate their willingness to pay (WTP) for CAVs and related…”
    Get full text
    Journal Article
  12. 12

    What have we learned? A review of stated preference and choice studies on autonomous vehicles by Gkartzonikas, Christos, Gkritza, Konstantina

    “…•This paper reviews stated preference/choice studies related to autonomous vehicles.•Classification based on components of opinions and attitudes, and study…”
    Get full text
    Journal Article
  13. 13

    Drone-aided routing: A literature review by Macrina, Giusy, Di Puglia Pugliese, Luigi, Guerriero, Francesca, Laporte, Gilbert

    “…•We present a review of the recent contributions on drone-aided routing problems.•We provide a description of the technological background.•We focus on…”
    Get full text
    Journal Article
  14. 14

    Stacked bidirectional and unidirectional LSTM recurrent neural network for forecasting network-wide traffic state with missing values by Cui, Zhiyong, Ke, Ruimin, Pu, Ziyuan, Wang, Yinhai

    “…•A stacked bidirectional and unidirectional LSTM architecture for traffic forecasting.•An LSTM structure with an imputation unit to infer missing values is…”
    Get full text
    Journal Article
  15. 15

    A hybrid deep learning based traffic flow prediction method and its understanding by Wu, Yuankai, Tan, Huachun, Qin, Lingqiao, Ran, Bin, Jiang, Zhuxi

    “…•This paper addresses the multi-step ahead prediction tasks.•Develop a deep learning-based approach to fully mine spatial-temporal features of traffic…”
    Get full text
    Journal Article
  16. 16

    Inferring transportation modes from GPS trajectories using a convolutional neural network by Dabiri, Sina, Heaslip, Kevin

    “…•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…”
    Get full text
    Journal Article
  17. 17

    Detection and tracking of pedestrians and vehicles using roadside LiDAR sensors by Zhao, Junxuan, Xu, Hao, Liu, Hongchao, Wu, Jianqing, Zheng, Yichen, Wu, Dayong

    “…•Roadside LiDAR data processing procedure.•All-traffic trajectories.•A new application field of LiDAR sensors. Light Detection and Ranging (LiDAR) is a remote…”
    Get full text
    Journal Article
  18. 18

    Real-time motion planning methods for autonomous on-road driving: State-of-the-art and future research directions by Katrakazas, Christos, Quddus, Mohammed, Chen, Wen-Hua, Deka, Lipika

    “…•In-depth analysis of motion planning methods for autonomous on-road driving.•Path, manoeuvre and trajectory motion planning approaches are compared and…”
    Get full text
    Journal Article
  19. 19

    A graph CNN-LSTM neural network for short and long-term traffic forecasting based on trajectory data by Bogaerts, Toon, Masegosa, Antonio D., Angarita-Zapata, Juan S., Onieva, Enrique, Hellinckx, Peter

    “…Traffic forecasting is an important research area in Intelligent Transportation Systems that is focused on anticipating traffic in order to mitigate…”
    Get full text
    Journal Article
  20. 20

    The multiple flying sidekicks traveling salesman problem: Parcel delivery with multiple drones by Murray, Chase C., Raj, Ritwik

    “…•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…”
    Get full text
    Journal Article