4.8
290 条评分
★★★★★
2026年4月13日
2017年11月3日
更新内容
v3.4.1We fixed login issues in the mobile app for email addresses and passwords containing special characters. We also improved how credentials are sent to the backend and clarified error messages.
应用信息
- 开发者
- Astarium sp. z o.o.
- 分类
- Travel
- 价格
- 免费
- 版本
- 3.4.1
- App ID
- 1256462727
简介
Check the PKP train timetable and ticket prices. Buy your tickets quickly and easily! KOLEO – your universal train journey planner! With KOLEO, you always have access to the best, the most complete and also up-to-date information on PKP train timetables and fares. With KOLEO, you get your tickets quickly and easily through our app – without any additional commission or transaction fees. If you have any problem or need to ask a question, just e-mail us at ios@koleo.pl – we always answer. :) KOLEO app offers you: • The most up-to-date PKP train timetable, updated daily. • Ticket prices for every single railway connection in Poland • Train tickets from the following operators: - PKP Intercity (TLK, IC, EIC, EIP) - PKP Intercity (TLK, IC, EIC, EIP) - POLREGIO (PR) - Koleje Mazowieckie (KM) - Arriva RP (ARRIVA) - Koleje Dolnośląskie (KD) - Koleje Małopolskie (KMŁ) - Koleje Śląskie (KŚ) - Koleje Wielkopolskie (KW) - Łódzka Kolej Aglomeracyjna (ŁKA) - PKP SKM w Trójmieście (SKM-T) • All available reduced fares, discounts and promotions • Buy tickets for connecting journeys within a single transaction • A friendly, iPhone-adjusted interface • Safe and quick payments: - KOLEO account - Apple Pay Visa and Mastercard - BLIK We ensure full integration between the app and the koleo.pl website. Purchased tickets are available online, and a copy of the ticket is sent to you via e-mail. The only additional permissions we require are only for the app to function properly – we do not follow our users. KOLEO guarantees the best prices – without any additional fees or commissions. KOLEO is a completely free app. Have a great journey with KOLEO!
下载量预测
预估总下载量
139
低 / 月
207
预估 / 月
398
高 / 月
基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。
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