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Special Issue on Recent Advances in Urban Transport and Logistics Through Optimization and Analytics
Author(s) -
Ann Melissa Campbell,
Tom Van Woensel
Publication year - 2019
Publication title -
transportation science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.965
H-Index - 115
eISSN - 1526-5447
pISSN - 0041-1655
DOI - 10.1287/trsc.2018.0882
Subject(s) - transportation planning , transport engineering , analytics , traffic management , city logistics , business , big data , sustainable transport , computer science , operations research , engineering , data science , sustainability , ecology , biology , operating system
There has been a significant body of research on making urban transportation more efficient and sustainable. Planning of urban transportation services is challenging due to the crowded traffic infrastructure, increasing customer expectations, and rules set by municipalities. In recent years, a vast amount of urban transportation data has become available, e.g., travel times and customer demand data. This special issue intends to establish the landscape for the state-of-the-art in urban transportation involving optimization and analytics.

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