Advertisement
Europe’s Rail: The Pods4Rail Project

Bringing rail and road transport closer together

Pods4Rail is developing a modular mobility concept for rail, road and cable car. Standardised capsules switch automatically between different carrier units. This is intended to enable the seamless door-to-door transport of passengers and goods.
moodley
THE KEY POINTS IN BRIEF
• Pods4Rail connects rail, road and cable cars using standardised transport capsules.
• Supermodality enables seamless transport chains without the need to transfer passengers or goods.
• Through this project, the DLR is laying the foundations for further technical and practical developments.

The mod­u­lar rail mobil­i­ty con­cept links dif­fer­ent modes of trans­port. As part of the EU project Pods4Rail, the Ger­man Aero­space Cen­tre (DLR) devel­oped an inno­v­a­tive mobil­i­ty approach for this pur­pose. Research insti­tu­tions and com­pa­nies from sev­en Euro­pean coun­tries were also involved. The aim is to pro­vide end-to-end trans­port for pas­sen­gers and freight. The aim is to seam­less­ly con­nect dif­fer­ent modes of trans­port. Stan­dard­ised cap­sules, known as ‘pods’, form the cen­tral com­po­nent of this sys­tem.

Flexible transport chains involving multiple modes of transport

The pods can be com­bined with var­i­ous car­ri­er units. These car­ri­er units are equipped with a chas­sis, a propul­sion sys­tem and a pow­er sup­ply. They also incor­po­rate addi­tion­al tech­ni­cal sys­tems tai­lored to the respec­tive mode of trans­port. This con­cept thus enables flex­i­ble trans­port chains span­ning mul­ti­ple modes of trans­port. Pas­sen­gers and goods do not need to be trans­ferred between vehi­cles.

Europe’s Rail is developing new mobility solutions

Siemens Mobil­i­ty coor­di­nat­ed the project, which involved a total of 15 par­tic­i­pants. The part­ners came from sev­en Euro­pean coun­tries. The Euro­pean Union pro­vid­ed fund­ing of around three mil­lion euros for the project.

The fund­ing was pro­vid­ed under the Europe’s Rail and Hori­zon Europe pro­grammes. The DLR was the largest research organ­i­sa­tion involved in the project. A total of five DLR insti­tutes took part in the study. They con­tributed exten­sive exper­tise in vehi­cle devel­op­ment, rang­ing from rail vehi­cles to road vehi­cles. The DLR thus cov­ered key areas of the devel­op­ment chain.

Supermodality: Seamless use of multiple modes of transport

A key con­cept in Pods4Rail is what is known as ‘super­modal­i­ty’. It describes seam­less mobil­i­ty across dif­fer­ent modes of trans­port. “Pas­sen­gers and freight remain in the same pod at all times,” explains DLR researcher Manuel Ose­bek. Where nec­es­sary, the pod is trans­ferred to a dif­fer­ent car­ri­er unit.

For exam­ple, a cap­sule might set off on the road. At a junc­tion, it auto­mat­i­cal­ly trans­fers to a rail car­ri­er unit. Togeth­er with oth­er cap­sules, it then cov­ers the main part of the jour­ney. This is intend­ed to allow rail to make the most of its advan­tages in a par­tic­u­lar­ly effi­cient man­ner. These include high capac­i­ty and effi­cient oper­a­tion. Cli­mate and envi­ron­men­tal con­sid­er­a­tions also play an impor­tant role.

Road traffic and the cable car will be integrated

Pods4Rail regards not only rail but also road trans­port as an impor­tant mode of trans­port. This enables a direct con­nec­tion to be estab­lished right up to the des­ti­na­tion. Cable cars were also includ­ed in the stud­ies. They can be a use­ful addi­tion to local trans­port, par­tic­u­lar­ly in cities.

The con­cept there­fore exam­ines auto­mat­ed tran­ship­ment between mul­ti­ple modes of trans­port. To achieve this, pods and car­ri­er units must be reli­ably con­nect­ed to one anoth­er.

Speed, flex­i­bil­i­ty and com­fort are also key pri­or­i­ties. At the same time, the high safe­ty require­ments of trans­port must be met.

The focus is on users’ needs

To begin with, the project team analysed exist­ing inter­modal trans­port sys­tems. It also inves­ti­gat­ed poten­tial areas of appli­ca­tion for Pods4Rail, tak­ing tech­ni­cal and eco­nom­ic cri­te­ria into account. Accep­tance, com­fort and acces­si­bil­i­ty also played an impor­tant role. In addi­tion, the team assessed the envi­ron­men­tal impact of poten­tial appli­ca­tions. To this end, the DLR con­duct­ed sur­veys with poten­tial user groups.

In total, the project team iden­ti­fied more than 20 poten­tial use cas­es. These gave rise to eight spe­cif­ic busi­ness sce­nar­ios. The poten­tial appli­ca­tions are cor­re­spond­ing­ly diverse. They range from pas­sen­ger trans­port on under-utilised branch lines to logis­tics. Mobile med­ical facil­i­ties are also a con­ceiv­able appli­ca­tion. The results were then used to derive tech­ni­cal require­ments.

Technical feasibility of the mobility concept

One of the DLR’s key areas of focus was the tech­ni­cal imple­men­ta­tion of the con­cept. To this end, the team inves­ti­gat­ed var­i­ous mod­u­lar and light­weight vehi­cle struc­tures. Ener­gy require­ments were also exam­ined in detail. Oth­er top­ics includ­ed air con­di­tion­ing and the inter­faces between the pod and the chas­sis. Com­mu­ni­ca­tion also plays an impor­tant role. Vehi­cles, infra­struc­ture and traf­fic man­age­ment must be able to com­mu­ni­cate reli­ably with one anoth­er.

The DLR also exam­ined stan­dards and approval pro­ce­dures. Safe­ty require­ments for road and rail were also tak­en into account. The inves­ti­ga­tions result­ed in func­tion­al require­ments for the over­all sys­tem. These formed the basis for fur­ther tech­ni­cal devel­op­ment. This includ­ed trans­port cab­ins, car­ri­er units and auto­mat­ed tran­ship­ment sys­tems. Lock­ing sys­tems were also incor­po­rat­ed into the devel­op­ment.

Automated transhipment for flexible transport chains

Auto­mat­ed tran­ship­ment is a key com­po­nent of Pods4Rail. The cap­sules are designed to be able to switch quick­ly between dif­fer­ent car­ri­er units. This cre­ates a flex­i­ble trans­port chain span­ning mul­ti­ple modes of trans­port. The cap­sule remains unchanged through­out the entire jour­ney.

This prin­ci­ple can offer par­tic­u­lar advan­tages when demand fluc­tu­ates. It also enables bet­ter con­nec­tions between rur­al and urban areas. Rail acts as the effi­cient back­bone of the sys­tem, whilst road vehi­cles can han­dle the first and last legs of the jour­ney.

Pods4Rail is laying the foundations for the next stage of development

Pods4Rail demon­strates new pos­si­bil­i­ties for con­nect­ed mobil­i­ty. The con­cept links exist­ing trans­port infra­struc­tures in an inno­v­a­tive way. Of par­tic­u­lar inter­est are under-utilised branch lines and regions with fluc­tu­at­ing demand. Demand-respon­sive mobil­i­ty ser­vices could be devel­oped in these areas. At the same time, a larg­er share of trans­port can be shift­ed to rail. Direct road con­nec­tions are main­tained.

The project results lay the ground­work for fur­ther devel­op­ment steps. These include stud­ies on reg­u­la­to­ry approval and eco­nom­ic via­bil­i­ty. Inte­gra­tion into exist­ing trans­port net­works will also be exam­ined in greater detail. Fur­ther­more, indi­vid­ual com­po­nents can be test­ed on a larg­er scale in future.

The next step is the fol­low-up project ‘PREFER’. PREFER stands for ‘Pods and Region­al Flex­i­ble Effi­cient Rolling Stock’. The project is expect­ed to start lat­er this year. The DLR will lead the project.

This page has been translated automatically.

Found an error? Report it now

Comments

Leave a Reply

Your email address will not be published. Required fields are marked *

Related posts

The ADAC tested Tesla’s FSD Supervised driver-assistance system

Can you trust the car to drive itself?

Tesla FSD Supervised impresses in the ADAC test with its natural driving behaviour and powerful automation. However, incorrect decisions, weaknesses in driver monitoring and a misleading name show that the system remains an assistance system. Responsibility still lies with the human driver.

Road Safety

AI assistant on Sinus plus now creates accident charts

The Swiss Council for Accident Prevention (BFU) is expanding its AI assistant on the Sinus plus platform. It now automatically creates line and pie charts from the available accident figures. Users export the graphics as an image or a CSV file. The Road Safety Fund (FVS) supports the service.

Fuel prices

Swiss petrol prices fail to fall despite Hormuz reopening

Tankers are sailing through Hormuz again, yet nothing moves at the pump. Oil stays above 100 dollars, and the Rhine carries too little water. Why filling up in Switzerland stays expensive for now.