Delivery Service in Congested Urban Areas

Victor Zakharov, Alexander Krylatov, Alexander Mugayskikh

Результат исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийглава/раздел

Аннотация

Nowadays logistical costs are significant in many developing countries, for instance, basing upon the last researches, in Russian Federation they make up 20 %. No doubts that heavy traffic congestions in modern urban areas impact directly on vehicle routing costs in road networks. Moreover, logistics companies are faced with lost profits since actually they serve less number of customers then they could planned, because of traffic congestions. Thus, contemporary approaches for planning delivery routes should necessarily take into account traffic information. Herewith, accuracy of such information is crucial since all systems for traffic congestions prediction are highly sensitive to input data. Wide spread of traffic counters, plate-scanning sensors, in-vehicle guide systems can certainly provide accurate data collection. However, emphasize that data collection only is fruitless without intellectual data processing. The present paper is devoted to development of optimization approach which incorporates modern data collection systems and contemporary mathematical tools to cope with comprehensive delivery planning under traffic congestions in road networks. Implementation of the approach to Saint Petersburg city demonstrates reduction of actual travel time of delivery vehicles in the congested road network by 8–16%.

Язык оригиналаанглийский
Название основной публикацииComputation and Big Data for Transport
Подзаголовок основной публикацииDigital Innovations in Surface and Air Transport Systems
РедакторыPedro Diez, Pekka Neittaanmäki, Jacques Periaux, at al.
Место публикацииCham
ИздательSpringer Nature
Страницы155-165
ISBN (электронное издание)9783030377526
ISBN (печатное издание)9783030377519
DOI
СостояниеЭлектронная публикация перед печатью - 29 фев 2020

Серия публикаций

НазваниеComputational Methods in Applied Sciences
Том54
ISSN (печатное издание)1871-3033

Предметные области Scopus

  • Городское и структурное проектирование
  • Моделирование и симуляция
  • Биомедицинская техника
  • Прикладные компьютерные науки
  • Гидродинамика и трансферные процессы
  • Вычислительная математика
  • Электротехника и электроника

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