Skip to main content

ABE Södertörn

Autonomous Electrified Busses Södertörn aims to provide suggestions on how future self-driving electric buses can be utilized in a socio-economic and environmentally sustainable solution for future public transport in line with the Agenda 2030 goals.

Facts

ITRL Contact: Mia Xiaoyun Zhao

Program: Mobility of people

Time period: Feb 2020 - Dec 2021

Funded by: Trafikverket

Partners: KTH, Volvo, Keolis, Scania, Trafikverket, Sweco

Background

The work is being carried out as a case study for Tvärförbindelse (cross-connection) Södertörn, planned 2025-2030. Although results are based on one specific road segment, the ambition is to provide general knowledge and suggestions on scalable measures that are also suitable for other road sections. The timeline for the project is February 2020 – December 2021.

How​

The project focuses on the following four areas:​

  1. Physical and digital transport infrastructure that enables electric powered self-driving ​

  full-size buses as an integrated part of a sustainable transport system.​

  2. How new technologies such as increased automation of vehicles and digital solutions affect the role of the Swedish Transport Agency (Trafikverket) as a road owner, and estimation of costs for new infrastructure measures due to electric and self-driving buses.​

  3. Design and incentives at multimodal hubs that actively support a transition to fossil-free vehicle fleets and a sustainable transport system.​

  4. The effects of electrically powered self-driving full-size buses on a system level, as well as the measures needed to make the solutions ​sustainable and contribute to Agenda 2030.

Documents & Publications

Partners:

Funded by:

ABE Södertörn
Automated Vehicle Traffic Control Tower: Phase 1
Automated Vehicle Traffic Control Tower: Phase 2
Digigoods
Elbilslandet 2.0
Electrification of the Handling of Building Material in the City
Electric Road Systems Engineering Toolbox (ERSET)
Future Scenarios for the Digitalised Road Freight Transport Landscape
Future Scenarios for the Development of Self-driving Vehicles in Sweden
Inductive bus-stop charging Södertälje
InterLink
KOMPIS - Combined Mobility as a Service in Sweden
KTH Mobility Pool
Mistra SAMS Living Lab 2
MMiB Modern Mobility in Barkarby
MOBY - Living lab e-micromobility
PREDICT - Predictive Consolidated Transportation
Research Concept Vehicle model E
RENO - Route Based ERS Network Optimization
RingRoad Logistics
SARA1
Self-driving vehicles and public transport – opportunities and barriers
SIMnVIS
Smart Mobility Needs Smart Governance
Sustainable Mobility Services Södertälje
System Level Impacts of AED for Long-term Transport Planning
System Level Impacts of Self-driving Vehicles
Test Site Stockholm
VMaRS - Values of MaaS Based on Representative Scenarios
ZEUS - Zero Emission off peak Urban distributionS