Network coding is a crucial and often time consuming preparation step when working with transport simulation and assignment models.
Rafał Kucharski and Arkadiusz Drabicki from Politechnika Krakowska have developed a tool for importing networks from Visum (PTV product) to BusMezzo.
The tool is available on Github, see the README.md for important notes on how to use it: Network importer on Github
Note that since Visum allows importing networks from GTFS, you can convert GTFS networks to BM networks via Visum. Of course, you may be interested in specifying additional input, depending on the application.
For more information on BusMezzo see:
How do disruptions propagate in public transport networks? for how long and how far away from the source are passengers affected?
In a new paper on Physica A: Statistical Mechanics and its Applications, we propose a method for quantifying the extent to which the network exhibits spillover effect.
Model results are evaluated for the Stockholm network using a dynamic non-equilibrium assignment model.
[News headline: Bomb threat against train travel; Travel chaos following two false bomb alarms; photo from Stockholm Central station]
On-demand (known also as flexible or demand responsive) services rely on algorithms that determine which vehicle to assign to which passenger travel request. This becomes especially relevant as developments in vehicle automation and the shared economy call for new developments in routing flexible transport services.
Together with colleagues from Applied Mathematics and Transdev (Connexxion) in the Netherlands, we propose a new type of insertion algorithm: an online dynamic insertion algorithm with demand forecasts. Hence, this algorithm beyond responsiveness by incorporating demand anticipatory capabilities. The performance of this algorithm is tested in a simulation model for a case study network located in vicinity to Amsterdam.
See the full paper in Transportation Research Part E, by following this link.
When combining the new insertion algorithm with empty vehicle rerouting, 98% of passenger rejections are eliminated and travel and waiting times are reduced by up to 10 and 46% respectively, compared to traditional insertion algorithms. A sensitivity analysis tested performance robustness to variations in operational and demand conditions including different fleet compositions.
When introducing several measures to prioritize public transport services (i.e.dedicated lanes, holding control and boarding from all the rear door) at the same time – is the total effect larger than its parts? In a new paper with Jens West, we assess the implementation of several bus service improvement measures in a simulation model. We then analyze the effect of isolated and combinations of measures, and validates the model using field experiment data from Stockholm. We found that the three tested measures exercised negative synergy effects, with their combined effect being smaller than the sum of their marginal contributions, except for headway-based holding, which exercised positive synergy effects with the two other measures.
Click here for the full paper
(agency’s campaign signs in Swedish advising passengers that they can also board the bus from the rear door when boarding bus line 4)
I participate in the hEART conference which take place this week in the Technion – Israel Institute of Technology, Haifa.
After hosting it last year in Delft, it is great to attend it in the campus where I have studied for four years and excited to share the experience gained in the following studies:
- “Coordinating Merging Public Transport Operations Using Holding Control Strategies” presented by Georgios Laskaris
- “Tactical Service Design and Vehicle Allocation Optimization“, which I present
- “An Integrated Trip Assignment Model for Passenger Rail Systems” presented by Flurin Hänseler
- “Traveler’s Perceived Safety at Bus Stops in Stockholm, Sweden”, presented by Roberto Fernandez Abenoza