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SORTEDMobility

Self-Organized Rail Traffic for the Evolution of Decentralized MOBILITY

Self-organized approach to rail transport

Grégory Marlière - COSYS/ESTAS

2021-2024
7 Partners:

Coordination UGE (COSYS/ESTAS)

P. Pellegrini

B. Pascariu

S. Sobieraj-Richard

S. Di Cola

F. Naldini

J. Rodriguez

G. Marliere

Self-organized approach to rail transport

Intelligent trains make traffic management decisions.

Potential benefits:

improved system responsiveness and scalability
ability to preserve confidential information

Self-organized approach to rail transport

Iterative process for choosing traffic management decisions

Case Studies and Architecture

Guingamp-Paimpol

Current characteristics:

Regional line with low traffic
Single track with a passing loop at Pontrieux station

Study context:

Use of DRAISY light trains
Increased frequency
Addition of 2 more passing loops

Timetables

Time horizon from 8am to 1:30pm
21 trains, 144 passengers
Disruptions:
- 5 scenarios with random entry delay
- 5 scenarios with extended stop (15 min - 1 hour)

Guingamp-Paimpol

Railway Traffic Simulation

Passenger Simulation

Traffic Management

Results - Extended Stops

In 5 scenarios with extended stop (15-60 min):

Self-organization improves passenger travel times vs centralized management
Slight increase in train delays

Copenhagen

Dense network equipped with a CBTC system:

6 branches converging towards the central section shared by all lines

Detailed passenger flow data:

Entry/exit validation
Collection of precise data on origin-destination movements
Enables real-time tracking of passenger flows

Timetables

Time horizon from 6:30am to 9:30am
243 trains, 15917 passengers

Copenhagen

Railway Traffic Simulation

Passenger Simulation

Route Choice Computation

Traffic Management

Results

Scenario A: - Self-organization more effective than centralized management - Better results for train delays and passenger times
Scenario B: - Lower performance of self-organization - Related to a "side effect" on passenger demand forecasting

Myopic Decision: Eb11 before B17

Eb11 will carry many passengers in the next 20 minutes
But putting it first will impact fewer passengers at the end of its journey

Myopic Decision: B17 after Eb11

B17 doesn't carry many passengers in the next 20 minutes
But delaying it will penalize many passengers at the end of its journey

Conclusions:

Performance: good level achieved with self-organization compared to centralized systems
Data: advantage of decision-making without sharing confidential data in a competitive environment
Relevance for small lines: opportunity to revitalize 9000 km of small lines in France (17% of traffic)

Perspectives:

Cost evaluation:
- Necessary investments for on-board intelligent systems
- Possible savings on control centers
Governance: need to redefine the roles of railway companies
Technical aspects: security and communication issues to be resolved