🇦🇺Australia

Verlust von Streckenkapazität durch konservative Fahrplan- und Sicherheitsabstände

4 verified sources

Definition

Modern PTC systems are designed not only to prevent collisions and overspeed derailments but also to support capacity optimisation by enabling trains to run closer together using precise GPS‑based positioning and movement authorities.[1][2] Wabtec emphasises that traditional planning uses "worst‑case train" scenario spacing – for example, assuming a heavy coal train at full speed – which forces large buffers between trains and constrains throughput.[3] Its PTC 2.0/IVOC concept instead uses real‑time locomotive characteristics and precision telemetry to safely fit more trains onto the same tracks, explicitly linking improved capacity and profitability to better train control.[3] Articles on PTC 2.0 and ATO state that integrating automatic train operation with PTC allows shorter headways and improved track capacity without new physical infrastructure, providing economic benefits in terms of higher traffic volumes and better asset utilisation.[2] In Australia, ARTC’s ATMS (a GPS and communications‑based train management and safety system) is framed as part of the "next generation of train management" intended to increase capacity and flexibility on interstate freight corridors by using advanced control rather than new tracks.[7] When PTC‑style system management is not optimised – e.g. overly conservative speed profiles, static headways, delayed use of ATO, or limited data sharing – heavy‑haul and interstate lines can run 5–15% fewer train paths than physically possible. For a corridor carrying 10–20 high‑value freight paths per day at average access charges and freight margins of AUD 20–40k per path, this equates to 1–3 paths foregone per day or approximately AUD 0.5–1.5m per month, i.e. AUD 6–18m annual opportunity loss per heavily utilised corridor. A conservative attribution of only 15–30% of this gap directly to suboptimal PTC‑system management (as opposed to demand or rolling‑stock limits) still yields an annual capacity‑linked revenue loss of roughly AUD 2–6m per major corridor.

Key Findings

  • Financial Impact: Quantified: 5–15% avoidable capacity loss on busy corridors; on a line where an optimised PTC‑style system could support an extra 1–3 freight paths per day worth AUD 20–40k each, this corresponds to approximately AUD 2–6m in foregone revenue per corridor per year attributable to conservative PTC system management.
  • Frequency: Ongoing (daily timetable and real‑time operations on each controlled corridor).
  • Root Cause: Use of worst‑case braking and spacing logic where real‑time train data and precision navigation could safely support shorter headways; lack of integrated ATO; conservative speed profiles; incomplete use of PTC‑generated data for dynamic capacity planning.

Why This Matters

The Pitch: Freight and passenger railways in Australia 🇦🇺 lose 5–15% potential train paths on key corridors because current control practices default to wide, worst‑case spacing. Using advanced PTC‑style management, real‑time telemetry, and ATO can reclaim this capacity and generate additional AUD 2–6 million revenue per corridor per year.

Affected Stakeholders

Chief Operating Officer / GM Operations, Network Control Manager, Capacity Planner / Timetabling Manager, Commercial Manager – Access & Path Sales, Train Control System Manager

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Financial Impact

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Methodology & Sources

Data collected via OSINT from regulatory filings, industry audits, and verified case studies.

Evidence Sources:

Related Business Risks

Nicht fakturierte Standgeld- und Umpositionierungsgebühren bei Wagenbestellung

Quantified (LOGIC): Typischer Verlust 1–3 % der Umsätze aus Nebendienstleistungen, entspricht ca. AUD 200.000–500.000 p.a. für einen mittelgroßen Rail-Car-Logistiker; zusätzlich 2–4 Stunden ungeplante Rangierarbeit pro verspätetem Zugumlauf, die nicht fakturiert wird.

Überstunden und Zusatzrangieren durch ineffiziente Wagen- und Fahrzeugdisposition

Quantified (LOGIC): Zusätzliche 1–2 Std. Rangieren und Umlaufplanung pro fehlerhaft disponiertem Zug bei ca. AUD 400–600/Stunde Lok + Crew = AUD 400–1.200 pro Ereignis; bei 10–20 betroffenen Zügen/Monat ergeben sich AUD 48.000–288.000 p.a. an direkten Zusatzkosten.

Kapazitätsverlust durch falsch bestellte oder verspätet bereitgestellte Wagen

Quantified (LOGIC): Bei einem Fahrzeugtransportumsatz von z.B. AUD 10 Mio. p.a. und 5–10 % systematischer Leerkapazität ergibt sich ein Kapazitäts- und Umsatzverlust von AUD 500.000–1.000.000 p.a.; zusätzlich ca. 2–3 % höhere Stückkosten je transportiertem Fahrzeug.

Verzögerter Zahlungseingang durch manuelle Nachweise von Transport- und Wagenbewegungen

Quantified (LOGIC): Zusätzliche DSO von 20–30 Tagen auf einem Forderungsbestand von ca. AUD 5 Mio. entspricht Finanzierungskosten von rund 5–8 % p.a. bzw. AUD 275.000–410.000 gebundenem Kapital pro Jahr (unter Annahme von 5–6 % Kapitalkosten).

Verlängerte Schadensregulierungszeiten im Frachtverkehr

Quantified: 2–3 months delay in recovery of claim values for complex/high-value freight losses, typically equating to AUD 200,000–600,000 of cash tied up at any time for a mid‑size operator, with an implicit financing cost of ~AUD 50,000–150,000 p.a. (assuming 8–10% cost of capital).

Kosten durch abgelehnte oder reduzierte Fracht-Schadensfälle

Quantified: Each rejected freight damage claim can represent AUD 5,000–50,000 in unrecovered cargo and freight costs; for a rail operator or large shipper lodging 50–100 claims p.a. with a 10–20% preventable rejection rate, this equates to ~AUD 100,000–300,000 p.a. in avoidable write‑offs.

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