© The Institution of Engineering and Technology
Intelligent speed adaptation (ISA) systems are incorporated here into microscopic traffic models; Gipps' car-following model is discussed and the appropriate model parameters that need to be modified and additional ones that may need to be introduced are investigated. Driver behaviour under three different functionalities of ISA, namely informative, warning and intervening, is investigated through a driver simulator experiment. The impact of ISA systems on driver behaviour is a complex matter because it varies both among drivers and under different scenarios. The main parameters that capture the ‘reaction’ to the system are identified and are quantified through model parameters. These are driver speed, acceleration, deceleration, reaction time and effective size of the vehicle, and are estimated following the analysis of the simulator data. The resulting values confirm the necessity of parameter modification. The analysis performed for the incorporation of ISA into the traffic model indicated that a prerequisite of successful implementation is a deep understanding of the model parameters and dynamics.
References
-
-
1)
-
J.A. Michon ,
L. Evans ,
R. Schwing
.
(1985)
A critical view of driver behaviour models. What do we know, what should we do, Human behaviour and traffic safety.
-
2)
-
M.R. Tayyaran ,
A.M. Khan
.
The effects of telecommuting and intelligent transportation systems on urban development.
J. Urban Technol.
,
2 ,
87 -
100
-
3)
-
K. Brookhuis ,
D. de Waard
.
Limiting speed, towards an intelligent speed adapter (ISA).
Transp. Res. F
,
2 ,
81 -
90
-
4)
-
T. Vaa ,
M. Penttinen ,
I. Spyropoulou
.
Intelligent transport systems and effects on road traffic accidents: state of the art.
IET Intell. Transp. Syst.
,
2 ,
81 -
88
-
5)
-
R. Liu ,
J. Tate
.
(2004)
Network effects of intelligent speed adaptation systems’, Transportation.
-
6)
-
H.W. Warner ,
L. Åberg
.
The long-term effects of an ISA speed-warning device on drivers’ speeding behaviour.
Transp. Res. F
,
2 ,
96 -
107
-
7)
-
Leonard, D.R., Though, J.B., Bagueley, P.C.: `CONTRAM: a traffic assignment model for predicting flows and queues during peak periods', TRRL Laboratory Report, R 841, Crowthorne, Transport and Road Research Laboratory, 1978.
-
8)
-
G.D.B. Cameron ,
G.I.D. Duncan
.
PARAMICS, parallel microscopic simulation of road traffic.
J. Supercomput.
,
1 ,
25 -
53
-
9)
-
Duncan, B.: `Calibration trials of TRL driving simulator', Unpublished project Report PA30079/95, 1995, Transport Research Laboratory, Crowthorne.
-
10)
-
Mauro, V.: `Evaluation of dynamic network control: simulation results using NEMIS urban microsimulator', Proc. 70th Annual Meeting of the Transportation Research Board, 1991.
-
11)
-
PTV Vision, VISUM online: ‘The intelligent traffic platform’, http://www.english.ptv.de/download/traffic/software/Visum-Online_Einleger_2005_e.pdf, Accessed December 2007.
-
12)
-
Sexton, B.F.: `Validation trial for testing impairment of driving due to alcohol', Transport Research Laboratory Report 226, 1997, Transport Research Laboratory, Crowthorne.
-
13)
-
D. van Vliet
.
SATURN – a modern assignment model.
Traffic Eng. Control
,
578 -
581
-
14)
-
L.S. Comte
.
New systems: new behaviour?.
Transp. Res. F
,
2 ,
95 -
111
-
15)
-
H. Alm ,
L. Nilsson
.
The effects of a mobile telephone task on driver behaviour in a car following situation.
Accid. Anal. Prev.
,
5 ,
707 -
715
-
16)
-
Liu, R., van Vliet, D., Watling, D.P.: `DRACULA: dynamic route assignment combining user learning and microsimulAtion', Proc. PTRC European Transport Forum, September 1995, Coventry, p. 143–152.
-
17)
-
I. Spyropoulou ,
M. Penttinen ,
M. Karlaftis ,
T. Vaa ,
J. Golias
.
ITS solutions and accident risks: prospective and limitations.
Transp. Rev.
,
5 ,
549 -
572
-
18)
-
A. Kemeny ,
F. Panerei
.
Evaluating perception in driving simulation experiments.
Trends Cogn. Sci.
,
1 ,
31 -
37
-
19)
-
S.P. Washington ,
M.G. Karlaftis ,
F.L. Mannering
.
(2003)
Statistical and econometric methods for transportation analysis.
-
20)
-
S. Jamson
.
Would those who need ISA, use it? Investigating the relationship between drivers’ speed choice and their use of a voluntary ISA system.
Transp. Res. F
,
3 ,
195 -
206
-
21)
-
M.A. Regan ,
K.L. Young ,
T.J. Triggs
.
Impact on driving performance of intelligent speed adaptation, following distance warning and seatbelt reminder systems: key findings from the TAC SafeCar project.
IEE Proc. Intell. Transp. Syst.
,
1 ,
51 -
62
-
22)
-
M. del Castillo ,
P. Pintado ,
F.G. Benitez
.
The reaction time of drivers and the stability of traffic flow.
Transp. Res. B
,
1 ,
35 -
60
-
23)
-
P. Hidas
.
Modelling lane changing and merging in microscopic traffic simulation.
Transp. Res. C.
,
351 -
371
-
24)
-
S. Vlassenroot ,
S. Broekx ,
J. De Mol ,
I.L. Panis ,
T. Brijs ,
G. Wets
.
Driving with intelligent speed adaptation: final results of the Belgian ISA-trial.
Transp. Res. A
,
3 ,
267 -
279
-
25)
-
Silcock, J.P.: `SIGSIM version 1.0 users guide', , Working Paper from the Centre for Transport Studies, UCL, 1993.
-
26)
-
R. Liu ,
R. Kitamura ,
M. Kuwahara
.
(2005)
The DRACULA dynamic network microsimulation model, Simulation approaches in transportation analysis: recent advances and challenges.
-
27)
-
P. Hidas
.
A car following model for urban traffic simulation.
Traffic Eng. Control
,
5 ,
300 -
309
-
28)
-
M.P. Reed ,
P.A. Green
.
Comparison of driving performance on-road and in a low-cost simulator using a concurrent telephone dialling task.
Ergonomics
,
8 ,
1015 -
1037
-
29)
-
Law, M., Crosta, D.A.: `SIGSIM user guide part A: SIGSIM theory (version 1.1)', Working Paper from the Transport Operations Research Group, 1999, Newcastle University and Centre for Transport Studies, UCL.
-
30)
-
H.H. van der Molen ,
A.M.T. Botticher ,
J.A. Rothengatter ,
R.A. De Bruin
.
(1987)
Risk models for traffic participants: a concerted effort for theorethical operationalizations, Road users and traffic safety.
-
31)
-
N. Agerholm ,
R. Waagepetersen ,
N. Tradisauskas ,
L. Harms ,
H. Lahrmann
.
Preliminary results from the Danish intelligent speed adaptation project pay as you speed.
IET Intelligent Transport Systems
,
2 ,
143 -
153
-
32)
-
Barcelo, J., Ferrer, J.L.: `Microscopic simulation of vehicle guidance systems with AIMSUN2', Proc. 13 Euro Conf., 1994, Glasgow.
-
33)
-
Gipps, P.G., Wilson, B.G.: `MULTISIM: a computer package for simulating multi-lane traffic flows', Proc. 4th Biennial Conf. Simulation Society of Australia, August 1980, Queensland.
-
34)
-
A. Varhelyi ,
T. Makinen
.
The effects of in-car speed limiters: field studies.
Transp. Res. C
,
3 ,
191 -
211
-
35)
-
P.G. Gipps
.
A behavioural car-following model for computer simulation.
Transp. Res. B
,
2 ,
105 -
111
-
36)
-
I. Spyropoulou
.
Gipps car following model – an in-depth analysis.
Transportmetrica
,
3 ,
231 -
245
-
37)
-
C. Ho ,
N. Reed ,
C. Spence
.
Assessing the effectiveness of ‘intuitive’ vibrotactile warning signals in preventing front-to-rear-end collisions in a driving simulator'.
Accid. Anal. Prev.
,
5 ,
988 -
996
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-its_20080034
Related content
content/journals/10.1049/iet-its_20080034
pub_keyword,iet_inspecKeyword,pub_concept
6
6