Información General

• Autores: Beatriz López Boada (coord.)
• Editores: MDPI
• Año de publicación: 2021
• País: Suiza
• Idioma: inglés
• ISBN: 978-3-0365-0506-0, 978-3-0365-0507-7
• Enlaces
  • Texto Completo Libro (pdf)

Otros catálogos

• Red de Bibliotecas Universitarias (REBIUN)

Listado de artículos

• • A predictive fleet management strategy for on-demand mobility services: a case study in Munich

    Michael C Wittmann, Lorenz Neuner, Markus Lienkamp

    • Resumen
    • Texto Completo Libro

    págs. 1-18

    

  • Fleet management and control system for medium-sized cities based in intelligent transportation systems: from review to proposal in a city

    Beimar Rojas, Cristhian Bolaños, Ricardo Salazar Cabrera, Gustavo Ramírez González, Alvaro Pachon De la Cruz, Juan Manuel Madrid Molina

    • Resumen
    • Texto Completo Libro

    págs. 19-44

    

  • Machine learning-based driving style identification of truck drivers in open-pit mines

    Qun Wang, Ruixin Zhang, Shuaikang Lv

    • Resumen
    • Texto Completo Libro

    págs. 45-68

    

  • A vehicle type dependent car-following model based on naturalistic driving study

    Ping Wu, Feng Gao, Keqiang Li

    • Resumen
    • Texto Completo Libro

    págs. 69-84

    

  • The multi-station based variable speed limit model for realization on urban highway

    Soobin Jeon, Chongmyung Park, Dongmahn Seo

    • Resumen
    • Texto Completo Libro

    págs. 85-106

    

  • Floating car data adaptive traffic signals: a description of the first real-time experiment with “connected” vehicles

    Vittorio Astarita, Vincenzo Pasquale, Demetrio Carmine Festa, Giuseppe Guido, Alessandro Vitale

    • Resumen
    • Texto Completo Libro

    págs. 107-126

    

  • A traffic flow prediction method based on road crossing vector coding and a bidirectional recursive neural network

    Shuanfeng Zhao, Qingqing Zhao, Yunrui Bai, Shijun Li

    • Resumen
    • Texto Completo Libro

    págs. 127-144

    

  • Masivo: parallel simulation model based on opencl for massive public transportation systems’ routes

    Juan Ruiz Rosero, Gustavo Ramírez González, Rahul Khanna

    • Resumen
    • Texto Completo Libro

    págs. 145-178

    

  • Deep, consistent behavioral decision making with planning features for autonomous vehicles

    Lilin Qian, Xin Xu, Yujun Zeng, Junwen Huang

    • Resumen
    • Texto Completo Libro

    págs. 179-198

    

  • The need for cooperative automated driving

    Jan Cedric Mertens, Christian Knies, Frank Diermeyer, Svenja Escherle, Sven Kraus

    • Resumen
    • Texto Completo Libro

    págs. 199-218

    

  • Decision-making system for lane change using deep reinforcement learning in connected and automated driving

    HongIl An, Jae il Jung

    • Resumen
    • Texto Completo Libro

    págs. 219-232

    

  • Efficiency analysis and improvement of an intelligent transportation system for the application in greenhouse

    Tianfan Zhang, Weiwen Zhou, Fei Meng, Zhe Li

    • Resumen
    • Texto Completo Libro

    págs. 233-257