Mega sites

GERMANY

Level 4/5 operation in complex scenarios & combined urban and peri-urban Environments 

MONHEIM

AVs fully integrated into Public Transport since 2020 

Vision

Driverless transportation will improve end-to-end transport services for our passengers in Monheim to optimize the ride with AVs as much as possible regarding speed, comfort and safety.

The Service

  • Service fully integrated into PT
  • Operates with a 10-minute interval from 9 am to 9 pm on 7 days per week (20-minute interval during ongoing constructions)
  • Connection with other buses at the central bus station “Monheim Mitte”
  • Free of charge for Monheim residents (“Monheim Pass”)
  • The Standard PT rate applies to other passengers
  • More than 50 trained Safety Operators in total
  • More than 30 Safety Operators run AVs on a daily basis
  • The control centre is in operation for both types of vehicles (regular buses and AVs)
  • 2 Chief Operators (who can train Safety Operators)
  • 3 Designers (who can deploy new routes on private grounds)
  • Specially trained mechanics at a workshop for maintenance

Fleet

5 * Easy Mile Gen 2, SAE Level: 3 

Target passengers

Residents (mainly elderly) and tourists

The Route

Main route: 1.7 km long, serves 8 stops,started on Nov 12th 2022

Alternative route: 2.7 km long, serves 8 stops,during construction works (02/2020 until 12/2022 and 10/2024 until 5/2025) and events on main route

Key Feedback

Key Challenges & Recommendations 

Use Cases

UC 1.1 Automated mobility in Cities under normal traffic & environmental conditions

UC 1.2 Automated mobility in Cities under complex traffic & environmental conditions

UC 1.3 Interfacing non automated vehicles and travellers (including VRUs)

UC 1.4 Energy sustainable automated mobility in Cities

UC 1.5 Actual integration to city TMC

UC 1.6 Mixed traffic flows; AVs and non-AVs mixed in the same traffic flows

UC 3.2 Big data / AI based added value services for Passengers mobility

UC 3.4 Automated services at bus stops

 

Local Ecosystem

Legacy

Following the pilot’s success, operations will continue with a focus on advancing autonomous mobility. Participation in projects such as “Diversify CCAM” further supports these goals. Additionally, autonomous vehicle showcases are available for private events to promote individual events in other cities or at public transport operator premises.

KARLSRUHE

AVs are breaking free from the virtual rail ​

Vision

The Karlsruhe pilot aims to develop and test new mobility concepts by exploring the potential of on-demand automated vehicles (AVs) to replace low-frequency bus routes in suburban areas. The focus is on improving the state-of-the-art in automated vehicles, optimizing rides for speed, comfort, and safety. By testing innovative vehicle concepts, the pilot seeks to demonstrate how AVs can enhance public transportation services, offering a more efficient, flexible, and user-centric solution to urban mobility needs, particularly in areas where traditional bus services are less viable.

 

The Service

  • FZI-Shuttles operated freely without virtual rail in PT
  • On-demand offer (via app) for last mile within PT offer
  • Cargo-Use-case as last-mile package delivery
  • U-Shift provided transport service for visitors of the German federal garden show
  • Free of charge for all passengers

Fleet

2 * modified EasyMile Gen2 , SAE Level: 2 (4)​

1 * modified Audi Q5 SAE Level: 2 (4)​

1 * DLR-U-Shift: automated operation supervision

Target Passengers

Residents and tourists

The Route

Key Feedback 

Key Challenges & Recommendations 

Use Cases

UC1.1 (normal)

UC1.2 (complex)

UC1.4 (energy sustainable)

UC1.7 (remote supervision)

UC1.9 (cargo platooning)

UC1.6 (mixed flows)

UC2.1 & UC2.2 (mixed spatial & temporal mobility)

 

Local Ecosystem

Legacy 

Deploying the innovative vehicle concepts from DLR (U-Shift) and FZI within the SHOW project led to valuable insights for transferring research results into the real world with the goal of further adapting automated vehicles specifically designed for PT operations. 

Development and research on these innovative vehicle concepts continue in various projects, and further applications in real-world environment are planned. Stakeholders, including the city and PT operators, are closely monitoring project results for potential future AV service implementations. Key research areas include teleoperation, smart infrastructure communication, fleet management, and multi-use vehicle development. 

FRANKFURT

Automated On-Demand Service ​as a first-/last-mile feeder

Vision

The Frankfurt pilot explores automated, connected on-demand mobility as a key future component of local public transportation. It expands services with autonomous shuttles linked to on-demand software, testing AI systems and coordinated driving manoeuvres. The project focuses on shuttle accessibility and integrates a central control centre to optimize operations in real-time

The Service

  • Free of charge ​
  • Safety driver on board​
  • Booking via on-demand application (ad-hoc or in advance)​
  • AI based camera system and voice bot​

Fleet

  • Frankfurt: 2 EasyMile EZ10 Gen 3b, L4, electric​
  • Aachen: 2 Development Vehicles, L4 + followers

Target Passengers

  • Frankfurt: Residents of the neighborhood​
  • Aachen: Students / FEV-colleagues

The Route

The route spans 2.7 km with over 30 virtual on-demand stops, serving as a first/last mile feeder for the metro station and passing by various points of interest, including a supermarket, pharmacy, and sports club.

Key Feedback

Key Challenges & Recommendations

Use Cases

UC1.1 (normal traffic & environmental conditions)

UC1.4 (energy sustainable), UC1.6 (mixed traffic flows)

UC1.7 (connection to operation centre)

UC1.10 (autonomous transport chains)

UC3.1 (self-learning demand response)

UC3.2 (AI-based added value services)

UC3.4 (automated services at bus stops)

UC3.6 (COVID-SAFE Transport)

 

Local Ecosystem

Legacy

The RMV – as the regional PTA in the Rhine-Main-Region – has worked on automated PT systems since 2019. The SHOW site was one important step towards driverless on-demand services in the region. The next steps will mainly focus on enhancing the technical know-how and the integration into the existing (yet driver-based) on-demand services. Within the KIRA (German: AI-based regular operation of autonomous on-demand transport) project the RMV will take this new step together with Deutsche Bahn.