Goals & Vision

The fol­lowing illus­tra­ti­ons demons­tra­te some of the main topics and use cases of TEMPUS. Also, learn more about our goals, mile­stones and visi­on.


icon Ampel, WLAN

Digi­tiz­a­ti­on in the Road Traf­fic Sec­tor and Real-Life Testing

The rea­liz­a­ti­on of auto­ma­ted dri­ving is clo­se­ly lin­ked to the digi­tiz­a­ti­on of road infra­st­ruc­tu­re and its com­mu­ni­ca­ti­on. A main objec­ti­ve of TEMPUS is to test auto­ma­ted and con­nec­ted dri­ving func­tions of both indi­vi­du­al and public trans­port in real traf­fic situa­tions. In the north of Munich, a cross-territorial test field is being defi­ned and equip­ped with com­mu­ni­ca­ting roadsi­de traf­fic tech­no­lo­gy. In this way, we want to test inno­va­ti­ve tech­no­lo­gies in real-life con­di­ti­ons and gain insights into sol­ving tech­ni­cal chal­len­ges. For inte­res­ted citi­zens, TEMPUS can offer an ear­ly insight into the ongo­ing deve­lo­p­ment of auto­ma­ted and con­nec­ted driving.

Vehicle2X Com­mu­ni­ca­ti­on

In the test field, we are instal­ling Roadsi­de Units (RSUs) at around 65 traf­fic lights which com­mu­ni­ca­te with onboard units in test vehi­cles and exchan­ge infor­ma­ti­on about traf­fic signals and inter­sec­tions. This enab­les the com­plex situa­ti­on of an inter­sec­tion to be com­pre­hen­ded by an auto­ma­ted vehi­cle and allows a safe cros­sing of the inter­sec­tion. In con­trast to many other pro­jects, our test field tests both Wi-Fi-based ITSG5 and cellular-based CV2X short-range com­mu­ni­ca­ti­on tech­no­lo­gy. This enab­les us to test a wide ran­ge of use cases and pre­pa­res us in the best pos­si­ble way for future developments.

Grafik für Abbiegeassistent

Tur­ning Assistant

For the tur­ning assi­stant, an inter­sec­tion is equip­ped with spe­cial came­ra sen­sors capa­ble of com­mu­ni­ca­ting with vehi­cles via a roadsi­de unit (RSU). In case of detec­tion of a cros­sing vul­nerable road user, a warning mes­sa­ge is issued to which the dri­ver can react in time.

The assi­stant is being instal­led at the inter­sec­tion of Alla­cher Str./ Win­trich­ring and is being tes­ted for its relia­bi­li­ty and app­li­ca­bi­li­ty exem­pli­fied by buses. Data recor­ded by the came­ras will be con­ver­ted into anony­mi­zed object data con­sis­ting of posi­ti­on, speed, direc­tion and type. In this way, no per­so­nal data is ana­ly­zed and data pro­tec­tion is guaranteed.

Grafik für ÖPNV

Public Trans­port Priorization

In the urban test field, digi­tal public trans­port acce­le­ra­ti­on, i.e. prio­ri­tiz­a­ti­on of sche­du­led buses, is being tes­ted at three inter­sec­tions using the bus rou­tes 178 and 180 as an examp­le. Spe­cial roadsi­de units are being instal­led that not only send out infor­ma­ti­on, but can also recei­ve it from vehi­cles, pro­cess it and react to it (RSUs with feed­back chan­nel). This enab­les the buses to con­trol the respec­ti­ve traf­fic light cir­cuits and request green pha­ses. In con­trast to the exis­ting ana­log radio signa­ling tech­no­lo­gy used for public trans­port acce­le­ra­ti­on, digi­tal tech­no­lo­gy offers more advan­ced app­li­ca­ti­on pos­si­bi­li­ties and real-time data transmission.

Grafik Rettungswagen

Res­cue Vehi­cle Priorization

Com­pa­ra­ble to the urban use case “Public Trans­port Prio­riz­a­ti­on”, the prio­ri­tiz­a­ti­on of emer­gen­cy vehi­cles is being tes­ted in the sub­ur­ban test field. Spe­cial Roadsi­de Units can recei­ve infor­ma­ti­on from nea­ring vehi­cles, pro­cess and react to it (RSUs with feed­back chan­nel). The emer­gen­cy vehi­cles can thus influ­ence the respec­ti­ve traf­fic light cir­cuits and request green pha­ses, while the other traf­fic flows are blo­cked, i.e. recei­ve “red”. This redu­ces the risk of acci­dents and the emer­gen­cy dri­vers can cross the inter­sec­tion without dan­ger. The red signal also keeps deaf peop­le, who can­not hear the emer­gen­cy vehi­cle’s siren, from ent­e­ring the intersection.

Grafik für Platooning und ÖPNV-Beschleunigung


In this part of the pro­ject, we deal with the inves­ti­ga­ti­on of the poten­ti­als and the pro­to­typ­ing of pla­too­ning buses in public trans­port. Pla­too­ning refers to the digi­tal cou­pling of two auto­ma­ted vehi­cles. The aim is to inves­ti­ga­te the tech­ni­cal requi­re­ments for vir­tual­ly cou­pling buses safe­ly and reli­ab­ly in prac­ti­cal situa­tions. Pos­si­ble bene­fits of platooning:

  • Bus exten­si­on with an all-electric engi­ne, sin­ce buses with pas­sen­ger trai­lers can­not cur­r­ent­ly be effec­tively electrified.
  • By stan­dar­di­zing the vehi­cle lengths, the infra­st­ruc­tu­re at the ope­ra­ting ter­mi­nal (e.g., char­ging infra­st­ruc­tu­re) can be plan­ned more easi­ly and imple­men­ted more cost-effectively.
  • Auto­ma­ted dri­ving at the ope­ra­ting ter­mi­nal is pos­si­ble and the shun­ting effort can be reduced.
  • More fle­xi­ble pas­sen­ger capa­ci­ty with regard to pas­sen­ger fluc­tua­tions on rou­tes. This allows demand-oriented ener­gy con­sump­ti­on to be achieved.


With incre­a­sing data avai­la­bi­li­ty and the gro­wing trend of on-demand trans­port, an ope­ra­tio­nal inte­gra­ti­on of pas­sen­ger and freight trans­port beco­mes pos­si­ble. In TEMPUS, ride-parcel-pooling (i.e., the poo­ling of pas­sen­ger and freight trans­port) is being inves­ti­ga­ted and an assess­ment is being made as to whe­ther and how the over­all traf­fic situa­ti­on could be impro­ved. Espe­cial­ly regar­ding vehi­cles in fleet ope­ra­ti­on, an inte­gra­ti­on of pas­sen­ger mobi­li­ty and logistics could enab­le a more effi­ci­ent, sus­tainab­le, and resource-saving operation.

Grafik für HD-Karte


A high-definition map in Open­Dri­ve for­mat is crea­ted for the ent­i­re TEMPUS test field and adja­cent roads. The map can not only be used in the vehi­cles for the field tests but is also com­pa­ti­ble with all simu­la­ti­on app­li­ca­ti­ons in the pro­ject. The size and accu­ra­cy of the digi­tal HD map in TEMPUS is uni­que. It is avail­ab­le to all pro­ject part­ners as well as inte­res­ted com­pa­nies upon request.

Grafik für Verkehrsstrategien

Alter­na­ti­ve Rou­te Strategies

As the traf­fic load incre­a­ses annu­al­ly, new inno­va­tions and modern solu­ti­ons for intel­li­gent traf­fic manage­ment are requi­red. The digi­tal crea­ti­on and com­mu­ni­ca­ti­on of muni­ci­pal traf­fic manage­ment stra­te­gies opens up the pos­si­bi­li­ty of digi­tal­ly defi­ning resis­tance zones or pre­fer­red rou­tes on the basis of real-time traf­fic infor­ma­ti­on and dis­tri­bu­ting the­se to navi­ga­ti­on ser­vice pro­vi­ders for rou­te fin­ding in the vehi­cle. In case of pre­dic­ta­ble, tem­pora­ry events (e.g. Munich Mara­thon or soc­cer matches in Frött­ma­ning), traf­fic manage­ment stra­te­gies for large-scale detours can be defi­ned and com­mu­ni­ca­ted in advan­ce. Thus, con­ges­ti­on events can be avoided at an ear­ly sta­ge and rela­ted emis­si­ons can be redu­ced. The resul­ting stra­te­gies will be pro­vi­ded to third par­ties via the natio­nal access point, the Mobi­li­ty Data Mar­ket­place (MDM).


Traf­fic Light Forecast

In order to impro­ve traf­fic flow and redu­ce emis­si­ons, indi­vi­du­al traf­fic signal sys­tems are suc­ces­si­ve­ly being inte­gra­ted into a traf­fic light pha­se assi­stant. By cal­cu­la­ting which signal pat­tern is likely to be dis­play­ed at the next inter­sec­tion, the sys­tem gene­ra­tes a traf­fic light fore­cast. If a green signal is pre­dic­ted, an indi­ca­ti­ve speed is dis­play­ed to the dri­ver, which is ade­qua­te for cros­sing the inter­sec­tion. If a red signal is expec­ted, the dri­ver is infor­med and can adapt the dri­ving beha­vi­or accord­in­gly. The pro­gno­ses are tes­ted for moto­rists as well as cyc­lists (based on an application).

Grafik Tempolimit

Dyna­mic Speed Limit

On many high­ways, varia­ble mes­sa­ge signs are alrea­dy used to dis­play a dyna­mic speed limit. As vehi­cle auto­ma­ti­on impro­ves, it has to be pos­si­ble to trans­fer the­se speed limits to the vehi­cles. The­re­fo­re, this use case tests how auto­ma­ted vehi­cles can recei­ve and adopt the cur­rent speed limit from the varia­ble mes­sa­ge signs.

Data Cloud

In TEMPUS, not only short-range com­mu­ni­ca­ti­on tech­no­lo­gies (ITSG5 and CV2X) are tes­ted, but also long-range com­mu­ni­ca­ti­on via a backend, mea­ning access to data in a cloud. This backend solu­ti­on, in our case the mobi­li­ty data mar­ket­place (MDM), con­tains a wide varie­ty of traf­fic data. We also publish data in this mar­ket­place as part of TEMPUS, as for examp­le the muni­ci­pal traf­fic manage­ment stra­te­gies that have been deve­lo­ped. Third par­ties can also use this cen­tral access point to get the­se data.


The rapid pro­gress in the field of unman­ned aeri­al vehi­cles (dro­nes), as well as auto­ma­ted image pro­ces­sing through machi­ne lear­ning, enab­le new opti­ons for traf­fic moni­to­ring. Wit­hin the frame­work of TEMPUS, a com­ple­te image of traf­fic is to be gene­ra­ted by means of dro­nes on several streets, which will not only pro­vi­de the tra­jec­to­ries of moto­ri­zed traf­fic, but also valu­able infor­ma­ti­on on the beha­vi­or of pede­stri­ans and cyc­lists. Com­pa­red to cur­r­ent­ly avail­ab­le sen­sor sys­tems, it will be pos­si­ble to con­ti­nuous­ly record both tem­po­ral­ly and spa­ti­al­ly during the mea­su­re­ment period.

Icon Lupe

Accep­t­ance Research

The broad accep­t­ance of auto­ma­ted vehi­cles in urban are­as is as well based on objec­ti­ve traf­fic safe­ty (i.e., conflict-free inter­ac­tion of vehi­cles with other road users) as on sub­jec­ti­ve traf­fic safe­ty (i.e., the road space and traf­fic are expe­ri­en­ced as safe). Real-life inter­ac­tion sce­n­a­ri­os bet­ween auto­ma­ted vehi­cles and vul­nerable road users in urban traf­fic are inves­ti­ga­ted in the TEMPUS test field. From this, recom­men­da­ti­ons for the design of safe, effi­ci­ent, and well per­cei­ved inter­ac­tions will be deri­ved. Repre­sen­ta­ti­ve sur­veys will be con­duc­ted to inves­ti­ga­te acceptance.

icon bildschirm

Simu­la­ti­on and Evaluation

A traf­fic flow simu­la­ti­on envi­ron­ment will be mode­led to inves­ti­ga­te the effects of auto­ma­ted dri­ving as well as the above-described use cases on a city-wide sca­le. Fur­ther­mo­re, the simu­la­ti­on envi­ron­ment is used to simu­la­te inno­va­ti­ve con­cepts for the reor­ga­niz­a­ti­on of road space, name­ly mana­ges lanes, auto­ma­ted lane-free traf­fic as well as a dam­pe­ning of con­ges­ti­on waves. The results of the crea­ted simu­la­ti­on sce­n­a­ri­os will be pro­ces­sed and inter­pre­ted. Also, the final inves­ti­ga­ti­ons inclu­de a cri­ti­cal dis­cus­sion and assess­ment of the future app­li­ca­bi­li­ty of the deve­lo­ped concepts.

Icon Report

Cross-Territorial Sys­tem Archi­tec­tu­re and Gui­de­li­ne Development

A fun­da­men­tal objec­ti­ve is to inves­ti­ga­te the expan­da­bi­li­ty of the test field to sur­roun­ding local aut­ho­ri­ties and to pro­vi­de trans­fera­ble recom­men­da­ti­ons for imple­men­ta­ti­on. Hence, a cross-territorial sys­tem archi­tec­tu­re for traf­fic con­trol and data exchan­ge is being defi­ned, set up and tes­ted in the Bava­ri­an Sta­te Con­struc­tion Direc­to­ra­te (Munich Land) and the City of Munich (Munich City) for the spa­ti­al and tech­ni­cal lin­king of the two respon­si­ble are­as. This is inten­ded to repre­sent the orga­niz­a­tio­nal struc­tu­re, the under­stan­ding of roles and respon­si­bi­li­ties and the asso­cia­ted com­mu­ni­ca­ti­on pro­ces­ses. Our know­ledge gai­ned can be used for any future infra­st­ruc­tu­re expan­si­on and trans­fer. A practice-oriented gui­de docu­ments the­se opti­ons for muni­ci­pa­li­ties and task managers.




Munich’s traf­fic sys­tem, like that of many metro­po­li­tan regi­ons, is reaching its limits more and more. New inno­va­ti­ve approa­ches and tech­no­lo­gies need to be inves­ti­ga­ted in order help traf­fic sys­tems to beco­me safer and more effi­ci­ent and to enab­le a satisfy­ing mobi­li­ty for ever­yo­ne. Thus, with TEMPUS, we want to con­tri­bu­te: We want to gain insights into how indi­vi­du­al and public trans­port will deve­lop in the future. We want to deter­mi­ne at an ear­ly sta­ge whe­ther and how digi­tiz­a­ti­on can help us on the way to our visi­on: a holisti­cal­ly sus­tainab­le, low-emission, safe and acces­si­ble trans­por­ta­ti­on system.