A detailed analysis of the actual impact of real-time railway traffic management optimization

2016 ◽  
Vol 6 (1) ◽  
pp. 13-31 ◽  
Author(s):  
Paola Pellegrini ◽  
Grégory Marlière ◽  
Joaquin Rodriguez
Keyword(s):  
Detailed Analysis ◽  
Real Time ◽  
Traffic Management ◽  
Railway Traffic ◽  
Actual Impact ◽  
Management Optimization

scholarly journals Distributed optimization for real-time railway traffic management

2018 ◽  
Vol 51 (9) ◽  
pp. 106-111 ◽  
Author(s):  
Xiaojie Luan ◽  
Bart De Schutter ◽  
Ton van den Boom ◽  
Francesco Corman ◽  
Gabriel Lodewijks
Keyword(s):  
Real Time ◽  
Traffic Management ◽  
Distributed Optimization ◽  
Railway Traffic

scholarly journals A Routing Filter for the Real-time Railway Traffic Management Problem Based on Ant Colony Optimization

2015 ◽  
Vol 10 ◽  
pp. 534-543 ◽  
Author(s):  
Marcella Sama‘ ◽  
Paola Pellegrini ◽  
Andrea D’Ariano ◽  
Joaquin Rodriguez ◽  
Dario Pacciarelli
Keyword(s):  
Ant Colony Optimization ◽  
Real Time ◽  
Traffic Management ◽  
Ant Colony ◽  
Management Problem ◽  
The Real ◽  
Railway Traffic

scholarly journals A Conditional Time-Intervals formulation of the real-time Railway Traffic Management Problem

2021 ◽  
Vol 54 (2) ◽  
pp. 187-194
Author(s):  
Grégory Marlière ◽  
Sonia Sobieraj Richard ◽  
Paola Pellegrini ◽  
Joaquin Rodriguez
Keyword(s):  
Real Time ◽  
Traffic Management ◽  
Management Problem ◽  
Time Intervals ◽  
The Real ◽  
Railway Traffic ◽  
Conditional Time

scholarly journals MCTS Based Approach for Solving Real-time Railway Rescheduling Problem

2021 ◽  
Author(s):  
István Ferenc Lövétei ◽  
Bálint Kővári ◽  
Tamás Bécsi
Keyword(s):  
Real Time ◽  
Traffic Management ◽  
Critical Factor ◽  
Management Problem ◽  
Traffic Situation ◽  
Railway Company ◽  
Railway Traffic ◽  
Human Decision ◽  
Human Operators ◽  
Abstraction Levels

Solving a real-time Railway Traffic Management Problem (rtRTMP) is a challenging task for human operators. To solve the traffic situation, many factors need to be considered. Traditionally, the most critical factor is the availability of the possible routes and the relative position of the vehicles to each other. Besides, additional constraints can be found, such as the velocity, the length, and railway company regulations. The human decision-making process is essential in case of any disturbance (deviation from the pre-planned timetable). The human operator may solve this situation, but generally, the solution is not optimal. In this paper, the authors present a new method, where they consider an MCTS based algorithm to solve the traffic situation in a fast way in a given station. The performance of the algorithm is examined in two abstraction levels. The main purpose is to execute an experimental study to examine the efficiency of the MCTS based algorithms to solve railway traffic situations.

scholarly journals RECIFE-MILP: An Effective MILP-Based Heuristic for the Real-Time Railway Traffic Management Problem

2015 ◽  
Vol 16 (5) ◽  
pp. 2609-2619 ◽  
Author(s):  
Paola Pellegrini ◽  
Gregory Marliere ◽  
Raffaele Pesenti ◽  
Joaquin Rodriguez
Keyword(s):  
Real Time ◽  
Traffic Management ◽  
Management Problem ◽  
The Real ◽  
Railway Traffic

Evaluation of green wave policy in real-time railway traffic management

2009 ◽  
Vol 17 (6) ◽  
pp. 607-616 ◽  
Author(s):  
Francesco Corman ◽  
Andrea D’Ariano ◽  
Dario Pacciarelli ◽  
Marco Pranzo
Keyword(s):  
Real Time ◽  
Traffic Management ◽  
Railway Traffic
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