Delft University of Technology
Simulation of an Automated Public Transportation System
Winter, Konstanze
Publication date
2016
Citation (APA)
Winter, K. (2016). Simulation of an Automated Public Transportation System. 28-29. Abstract from 6th
European Transport Research Conference, Warsaw, Poland.
Important note
To cite this publication, please use the final published version (if applicable).
Please check the document version above.
Copyright
Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons. Takedown policy
Please contact us and provide details if you believe this document breaches copyrights. We will remove access to the work immediately and investigate your claim.
This work is downloaded from Delft University of Technology.
contest book
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 640213.
1
contest book
This book includes the abstracts of all the
project ideas submitted for evaluation
to TRAVISIONS 2016 competitions.
TRAVISIONS 2016 winners were awarded
in April 2016 during the TRA 2016
conference in Warsaw.
The book was prepared by TRAVISIONS 2016 consortium and was designed and directed by Prof. Ezio Spessa, Associate Professor at Politecnico di Torino, Ms. Micol Biscotto, research fellow at the same university and by Mr. George Smyrnakis, Secretary General of WEGEMT.
TRAVISIONS 2016 is a Coordinated Support
Action financed by the European Commission within the Horizon 2020 research and innovation programme (MG-9.7-2014; Grant Agreement N. 640213; http://www.travisions. eu/TRAVisions/index.xhtml). Its aim is to carry out two competitions in the field of surface transport. In particular, the ACADEMIC
STUDENT COMPETITION which obviously
targets students and early stage researchers (BSc, MSc and PhD) has the aim to approach junior researchers to the transport sector, to stimulate their minds and give them the chance to interact with a strong scientific community on transport research and to show their ideas. The EU CHAMPIONS OF
RESEARCH COMPETITION on the other hand
is addressed to senior researchers from EU projects and has the goal to acknowledge the excellence of the already existing research in the field of transport. Although the two competitions have separate evaluation procedures and different rules, they are aimed at reaching a common goal which is the creation of a scientific community made of young and senior researchers in the field of transport. Indeed the interaction between different generations of researchers and different transport modes (road, rail, waterborne, cross modality) will allow for the achievement of the overall objective of
TRAVISIONS 2016, that is the development
and deployment of innovative and cross-cutting transport solutions. In this framework we would like to thank the students and the researchers that participated in the competitions and put their enthusiasm and effort in the preparation of their works. Thanks to them TRAVISIONS 2016 has been a great success!
29 STUDENT Ro ad It is a c h a ll e n g e to im p ro v e p u b li c tr a n sp o rt a ti o n i n b o th d e n se ly p o p u la te d c it ie s a n d r u ra l a re a s in t e rm s o f se rv ic e , su st a in a b il it y a n d fi n a n c ia l fe a si b il it y. A so lu ti o n a p p ro a c h a re fl e x ib le d e m a n d -r e sp o n si v e tr a n sp o rt a ti o n se rv ic e s. T h e y c a n in c re a se th e c o m fo rt o f p u b lic tr a n sp o rt a ti o n fo r th e u rb a n p o p u la ti o n a n d b e e ffi c ie n tl y e m p lo y e d in sp a re ly p o p u la te d a re a s. H o w e v e r, tr a d it io n a l d e m a n d -r e sp o n si v e tr a n sp o rt sy st e m s a re c o st ly a n d n e e d to b e su b si d iz e d w h e n e m p lo y e d f o r p u b lic t ra n sp o rt . W it h fu lly a u to m a te d v e h ic le s (A V ) b e c o m in g o p e ra ti o n a l, th e q u e st io n ra is e s h o w th e y c a n b e e m p lo y e d f o r e ffi c ie n t a n d e ff e c ti v e m o b ili ty so lu ti o n s in te g ra te d i n t ra n sp o rt s y st e m s. I n t h is st u d y th e o p e ra ti o n o f a n e w m o b ili ty se rv ic e fo r u rb a n a n d re g io n a l p u b lic tr a n sp o rt a ti o n o p e ra te d b y A V is si m u la te d . T h e p ro p o se d tr a n sp o rt sy st e m is d e fi n e d a s a n A u to m a te d D e m a n d R e sp o n si v e T ra n sp o rt S y st e m ( A D R T S ), a d e m a n d re sp o n si v e A V p u b lic tr a n sp o rt a ti o n se rv ic e p ro v id in g in d iv id u a liz e d ri d e s w it h o u t fi x e d r o u te s o r ti m e ta b le s. D e p e n d in g o n v e h ic le c a p a c it y, r e q u e st s fo r th e A D R T S a re c o m b in e d in c a se t h e y s h a re t h e s a m e p ic k -u p a n d d ro p -o ff lo c a ti o n s a n d a re la u n c h e d w it h in a c e rt a in ti m e w in d o w w it h o u t in d u c in g d e to u rs . T w o c a se st u d ie s a re s im u la te d f o r th e p ro p o se d A D R T S : a o n e -t o -o n e c a se f o r a p p ro x im a te ly 3 .7 0 0 r e q u e st s a n d a m a n y -t o -m a n y c a se c o n si st in g o f 2 6 n o d e s fo r a p p ro x im a te ly 3 2 .4 0 0 r e q u e st s. T h e s im u la ti o n to o l d e te rm in e s fo r a c e rt a in d e m a n d t h e r e q u ir e d fl e e t si z e a n d t h e o v e ra ll d ri v e n k ilo m e te rs w h ile c o n st ra in in g th e m a x im u m p a ss e n g e r w a it in g ti m e , w h ic h re p re se n ts th e c u st o m e r se rv ic e le v e l. T h e p a ss e n g e r a rr iv a l p ro c e ss i s c o n si d e re d to b e s to c h a st ic a n d d e m a n d p a tt e rn s fo r th re e n o d e c a te g o ri e s (s ta ti o n n o d e , c a m p u s n o d e a n d re si d e n ti a l n o d e ) a re sp e c ifi c a lly d e fi n e d . T h e si m u la ti o n o u tp u t a llo w s to e st im a te th e o p e ra ti o n a l a n d p a ss e n g e r c o st s a n d c o n se q u e n tl y to d e te rm in e t h e o p ti m u m fl e e t si z e f o r o b ta in in g m in im u m o v e ra ll c o st s.
Simula
tion o
f an A
ut
oma
ted
P
ublic T
ransporta
tion S
y
s
tem
K
e
y Char
act
eris
tics:
Simula
tion of a ne
w mobility servic
e f
or
urban and r
egional public tr
ansporta
tion oper
a
ted b
y aut
oma
ted
2!$%(!/
ŏđŏ
$!
ŏ/%)1(
0%+*
ŏ0
++(
ŏ !0
!.)%*!/
ŏ"
+.
ŏŏ
!.0%*
ŏ !)* ŏ
the r
equir
ed fleet siz
e and the o
v
er
all driv
en kilomet
ers while
+*/
0.
%*%*#
ŏ0$!ŏ
)4%)1)
ŏ,/
/!*#!.
ŏ3
%0%*#
ŏ0%)!ŏđŏ
$!
ŏ
simula
tion output allo
w
s t
o es
tima
te the oper
a
tional and
pas
senger c
os
ts and c
onsequently t
o det
ermine the optimum
fleet siz
e f
or obtaining minimum o
v
er
all c
os
ts
2
NDPRIZE
N. pr oject: L1-28 ca tegory: R o a d Members: K ons tanz e W int er Univ ersity: Delft Univ ersity of T echnology RA3 Urban and L ong-Dis tanc e P eople Mobility – S y stems and Servic