Titlebook: Integrated Optimization in Public Transport Planning; Philine Schiewe Book 2020 Springer Nature Switzerland AG 2020 public transport plann

機(jī)警

Introduction, transport provides an efficient way for commuting by bundling traffic flows with the same general direction, thus reducing the individual traffic and the resulting congestions in peak hours. In this chapter, we introduce the public transport problems considered in this book as well as the data sets

助記

Integrating Line Planning, Timetabling, and Passenger Routing,nger focused approach to line planning where travel times can be evaluated exactly instead of approximately as in many passenger focused line planning models. In addition to the integrated problem, we present an exact preprocessing algorithm as well as two heuristics to reduce the problem size. In t

Cpr951

一再遛

General Multi-Stage Problems,n quality but at the same time makes the problem much harder to solve. In this chapter, we have a look at general multi-stage problems and we compare the solution quality of integrated and sequential solution approaches.

核心

猜忌

Integrated Optimization in Public Transport Planning978-3-030-46270-3Series ISSN 1931-6828 Series E-ISSN 1931-6836

JADED

中世紀(jì)

Introduction, transport provides an efficient way for commuting by bundling traffic flows with the same general direction, thus reducing the individual traffic and the resulting congestions in peak hours. In this chapter, we introduce the public transport problems considered in this book as well as the data sets used for the experimental evaluation.

Ethics

Two Heuristic Approaches for Integrating Public Transport Problems,ted models are not suited to be solved directly for realistically sized instances. But as the classical heuristic approach of solving the stages line planning, timetabling, and vehicle scheduling sequentially does not lead to satisfactory results, we have to turn to other heuristic approaches.

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