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7/27/2019 EG35
1/5
Main Influences in Modelling and Simulation of Urban
Traffic Flows
JANOS TIMAR, DANIELA FLOREA, CORNELIU COFARU, DINU COVACIU
Faculty of Mechanics
Transilvania University of Brasov
B-dul Eroilor nr.29, Brasov
ROMANIA
[email protected] http://www.unitbv.ro
Abstract: - Traffic modelling and simulation is an increasingly used and effective tool for analyzing a wide
variety of dynamical problems which are not suitable for study by other means.
This research paper presents a real application for the urban area, more precisely in Brasov city, where there
was noticed some problems in the urban traffic: congestions, conflict points. The data collected for one of the
busiest arterial streets of the city has represented the input data for the modelling and simulation program
Synchro plus Simtraffic 6. A new solution was proposed based on the analysis of the main influences of roadgeometry, signalisation and traffic conditions.
Key-Words: -Traffic simulation, traffic modelling, urban mobility, road safety, traffic flows, adjustment
factors.
1. IntroductionThe researches performed in a very congested area
of Brasov city, usually named the big roundabout,
permitted to identify the real problems generated by
the last solution for urban traffic management:
traffic jams, many conflict points between vehicles
and weaving of traffic flows. The map of area of
interest is shown in Fig.1.
Fig.1 The map of studied area
2. Data acquisitionAfter a general analysis of the area in order to
identify the actual situation, many activities were
organised to prepare, measure and analyse the
traffic flows.
Thus, arrival patterns, traffic volume distribution inthe entrance of each signalised or unsignalised
intersection were established. The variation of
traffic volumes for a representative period in a day
is presented in Fig.2.
Vehicle distribu tion per lane
acces from Toamnei street
0
50
100
150
200
250
300
lanes
numberofvehicule
9:00-9:15 9:15-9:30 9:30-9:45 9:45-10:00
Fig.2 Traffic volumes at Toamnei Street
2.1. Evaluation of the saturation flow rateCapacity analysis of the area can be made only after
the identification of the saturation degree of each
intersection.
The ideal saturation flow rate, S for the group of
lanes at the entry of a signalized intersection,
expressed in unitary vehicle per hour (Vt/h), is
influenced by the ideal saturation flow, S0, the
number of lanes N, and a very important number of
adjustment factors fi as in relation (1).
=
=11
1
0
i
ifNSS (1)
Computation is based on the ideal saturation flow
considered as 1900 Vt/h/lane. A realistic result of
Proceedings of the 2nd International Conference on Environmental and Geological Science and Engineering
ISSN: 1790-2769 213 ISBN: 978-960-474-119-9
mailto:[email protected]://www.unitbv.ro/http://www.unitbv.ro/mailto:[email protected]7/27/2019 EG35
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1800 Vt/h/lane is if someone consider the gap
between the following vehicles are 2 seconds.
Adjustment factors
The main influences of modelling contained by the
adjustment factors, are presented in the following
equations [3].
Lane width, W
9
)5.3(11
+=
Wf (2)
The value 3,5 represents the standard width of a
lane. The variation of the lane width from the
standard 3,5 m to 4,0 m produce a variation of the
adjustment factors f1 in the 1,0 1,06 limits
corresponding with the increase 5,6% of ideal
saturation flow rate S, expressed in unitary vehicle
Vt/h/lane (Table 1).Table 1
Lane width, m 4 3,9 3,8 3,7 3,6 3,5
f1 1,06 1,04 1,03 1,02 1,01 1
S, Vt/h 1900 1880 1860 1840 1820 1800
Reducing the lane width from 3,5 m to 2,5 m produce
a variation of the adjustment factors f1 in the 1,0
0,89 and as consequence reducing the traffic volume
to 11,1%, that means 1800 Vt/h/lane to 1800 Vt/h/lane
(Table 2).
Table 2Lane
width, m3,5 3,3 3,2 3,1 3 2,8 2,7 2,6 2,5
f1 1 0,98 0,97 0,96 0,94 0,92 0,91 0,9 0,89
S, Vt/h 1800 1760 1740 1720 1700 1660 1640 1620 1600
Heavy vehicles
)1(%100
1002
+=
TEHVf (3)
The percentage of heavy vehicles, %HV has an
important influence in traffic flows. This value is
between 0 30% and produce a variation of theadjustment factors f2 in the limits 0,77 1,00 and at
the same time a decrease of the ideal saturation flow
rate with 23% (table 3).
The formula considers also the coefficient ET to
transform the heavy vehicles in unitary equivalent
(passenger cars).
Table 3
Heavy traffic, % 0 4 8 10 20 30
f2 1 0,96 0,93 0,91 0,83 0,77
S, Vt/h 1800 1731 1667 1636 1500 1385
Grade
200
%13
Gf = (4)
If intersection is located in an area where the road is
tilted as a consequence this will generate to increase
traffic flow by 3% (when the grade %G on lane
group approach is -6%) and grade ranged from 0%to 10%, a decrease of 5%. The area studied is
located on the ground horizontally so there is no
influence.
Parking
N
NN
f
m
3600
181.0
4
= (5)
Locations of parking near signalized intersections
affect negatively the flow of saturation, especially in
the case of a single lane in the movement direction.The coefficient f4 varies in this case the value of
1.00 when there is no parking at the 0.7 to be carried
out when the number of parking Nm is 40 parking
manoeuvres per hour. In this case the reduction of
traffic is 30%.
Bus blockage
N
NN
f
B
3600
4.14
5
= (6)
Where:NB number of buses stopping/h within 75 m
upstream or downstream of the stop line, taking into
account when the stopping buses block traffic flow
in the considered lane group.
Lane utilization
)/( 16 Nvvf gg = (7)
Where:
Vg unadjusted demand flow rate for the lane
group, expressed in vehicles per hour.
Vg1 unadjusted demand flow rate on the single
lane group with the highest volume.
Left turns (LT)
The consideration of this factor takes into account
the two situations. For exclusive lane:
95.07 =f ,
and for shared lane:
LTPf
05.00.1
17
+= , (8)
where, PLT proportion of LTs in lane group.
Proceedings of the 2nd International Conference on Environmental and Geological Science and Engineering
ISSN: 1790-2769 214 ISBN: 978-960-474-119-9
7/27/2019 EG35
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Right turns (RT)
For exclusive lane:
85.08 =f ,
for shared lane:
RTPf )15.0(18 = (9)and for single lane
RTPf )135.0(18 = . (10)
The main parameter is PRT, proportion of RTs in lane
group.
Pedestrian bicycle blockage
LT adjustment
)1)(1(0.19 LTApbTlT PAPf = (11)
RT adjustment
)1)(1(0.19 RTApbTRT PAPf = (12)
Where:
PLT and PRT proportion of LTs and RTs in lane
group,
ApbT permitted phase adjustment,
PLTA and PRTA proportion of LT, respectively RT
protected green over total LT green
3. Proposal for new solutionThe critical analyses of modelling and simulation
results permitted to formulate a new proposal.
With the proposed solution it modifies the sense of
change and movement of traffic, which runs one-
way only on a certain segment of the route, rest in
two-way
The traffic will be conducted by the proposed study
in two directions so the volume of traffic is higher
from the intersection M. Kogalniceanu - Bd
November 15 - I. Maniu intersection to Bd
November 15 Toamnei Street Zizinului Street
Calea Bucureti. With the implementation of this
solution, two factors have remained unresolved: thenoise and possible points of conflict pedestrian -
vehicle and vehicle-vehicle.
Fig.3 Real scheme of the route
Fig.4 Proposed scheme of the route
The intersection named B-dul Hrmanului Toamnei
Street B-dul M. Koglniceanu is an intersection
with three branches and two accesses (Toamnei
Street, and B-dul M. Koglniceanu).
The proposed intersection scheme will have an
actuated control type. This actuated control type
would require installation of inductive loops and
connecting them to a central unit. Another change is
that the intersection will have 3 accesses and on
Toamnei Street will come back in two-way traffic.
Benefits of the actuated control type:
9Increase the capacity of
movement
9Reduce delays
9Allows synchronization of the
signalized programs
Access to the intersection will be done according to
the request in this way advantaging the main traffic
flows.
In the study we had made one of the following
problems had been identified in the intersection:
9 queues that form on the Toamnei Street
Proceedings of the 2nd International Conference on Environmental and Geological Science and Engineering
ISSN: 1790-2769 215 ISBN: 978-960-474-119-9
7/27/2019 EG35
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Fig.5 Queues in the simulation
software
Conflict points of vehicle-vehicle appeared in traffic
flows between the two accesses of the intersection (B-
dul Harmanului and Toamnei Street) as you can see in
Fig.6.
Fig.6 Vehicle-vehicle conflict at
Toamnei Street
Fig.7 Vehicle-pedestrian conflict at
Toamnei Street
3 SimulationIn the following are presented comparative graphs
between the actual situation and the proposed one:
speed of movement, fuel consumption, stops/vehicleand delays.
Fig.8 Speed of vehicles in real
situation
Fig.9 Speed of vehicles in proposed
situation
Fig.10 Fuel efficiency of vehicles in
real situation
Fig.11 Fuel efficiency in proposedsituation
Proceedings of the 2nd International Conference on Environmental and Geological Science and Engineering
ISSN: 1790-2769 216 ISBN: 978-960-474-119-9
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Fig.12 Stops of vehicles in real
situation
Fig.13 Stops of vehicles in
proposed situation
Stops occur in areas where traffic flows are
intersecting and traffic volumes are high. The
crossing of traffic flow generally occurs at the exit
or entry into intersection, when most drivers try to
get on a lane on which to continue their movement
towards the next intersection. Some vehicles will be
forced to stop in order to fit in lane that they wish to
continue their movement.
Fig.14 Delays of vehicles in real
situation
Fig.15 Delays of vehicles in
proposed situation
Delays are caused by conflicts of the pedestrian with
vehicles, arising in particular for vehicles that madea right turn onto B-dul Hrmanului from Toamnei
Street.
4. ConclusionsThus the proposed solution reflected the results
from the actual situation regarding: time delays
generated by the vehicle stops, fuel
consumption efficiency, the formation of
queues, reducing the conflict points. Even a
doubling of existing traffic volumes, has notcreated large queues.
References:[1] Florea D., Aplicaii telematice n sistemele
avansate de transport rutier, Editura UniversitiiTransilvania din Braov, ISBN 973-635-258-7,
2004
[2] Florea D., Cofaru C., Soica A.,Managementul
traficului rutier, Ediia a II-a, Editura Universitii
Transilvania din Braov, ISBN 973-9474-55-1,
2004
[3] Transportation Research Board (TRB), Highway
Capacity Manual 2000, Washington, DC , National
Research Council , 2000
[4] Federal Highway Administration, Signalized
intersections: Informational Guide, U.S. Department
of Transportation, 2004
[5] Trafficware Ltd., Synchro 6,
http://www.trafficware.com
[6] Trafficware Ltd., SimTraffic 6,
http://www.trafficware.com
Proceedings of the 2nd International Conference on Environmental and Geological Science and Engineering
ISSN: 1790-2769 217 ISBN: 978-960-474-119-9
http://www.trafficware.com/http://www.trafficware.com/http://www.trafficware.com/http://www.trafficware.com/