Application of design speed for urban road and street network/Projektinio greicio taikymas miesto keliu ir gatviu tinkle/Apdzivoto vietu celu un ielu projekteta atruma nateiksana/Linnateede ja tanavate vorgu projektkiirus.
Lazda, Ziedonis ; Smirnovs, Juris
1. Introduction
The construction of modern new arterial streets in densely
populated urban areas requires very significant capital investments that
are connected with the demolition of the existing housing, relocation of
businesses, relocation of population to other areas, expropriation of
land, reconstruction of utilities, etc. (Melo et al. 2013). When the
financing for street construction becomes very limited the issue of
possible reduction in the road construction costs becomes very topical
(Anas, Hiramatsu 2012). Firstly, it is achieved by reducing the design
speed on arterials. At the same time it has to be duly noted that the
reduction of geometrical parameters never leave negative impact on the
level of traffic safety (Lazda, Smirnovs 2009; Matirnez et al. 2013).
In urban street network a well-considered management of traffic
flow becomes more and more important and it is not implemented in good
quality if the interrelations among the factors that characterise the
existing transport flow are not known (Nitzsche, Tscharaktschiew 2013).
Traffic volume and consequently the loading of streets have changed
considerably in the recent years, as is also mentioned by Brilon (2010).
The aim of this study is to evaluate the indicators of traffic flow on
arterials in the urban street network with free traffic flow. To achieve
this aim it is necessary to determine the interrelations of momentary
speed, traffic volume and traffic flow density (Islam et al. 2014). In
addition to that it is necessary to perform analysis on the arterials
with free traffic flow in urban areas with different number of lanes,
different speed limits and at different conditions of level of traffic
load (De Luca et al. 2012). Finally, the interrelation between design
speed and 95% momentary speed at different level of traffic load has to
be determined.
2. Research methodology
The applied methodology is based on the measurement of momentary
speed and traffic volume data on arterials with free traffic flow in the
urban street network (Camacho-Torregrosa et al. 2013). The measurements
were recorded on two carriageway streets with two or three lanes in each
direction that have different design speed. The measurements were
recorded in different periods and at different traffic volume from 2007
until the end of 2009. Data recording was performed automatically with
special counters and grouped per each hour during the day time (7 a.m.-8
p.m.) throughout the whole year. Reading of traffic data is done
according to two types of measuring. The first type of measuring is done
with induction loops installed in roadway pavement that register all
vehicles moving along the arterial in both directions. The second type
of measuring is done with laser beams where special laser system is
installed on a special gantry located above lanes. Infrared sensors are
installed above lanes in both directions (Castro et al. 2013).
Processing and storing of measurements is done with special
software that provides the possibility to review time diagram of each
controlled sensor, as well as collection of general statistical data.
Data array that is compiled throughout a day time is divided according
to each day for each sensor and saved in a text file. The compiled data
is transferred via GSM (Global System for Mobile communications)
terminal to management centre for further processing and classification.
3. Research results
To acquire overview on average driving speeds on regulated
arterials, speed measurements of vehicles in real traffic were
performed. At the same time a number of data was recorded, such as the
lengths of studied street sections, the number of lanes in these
sections, travel time and regulation speed (Eluru et al. 2013).
Measurements of traffic speeds showed that the average driving speed on
regulated arterials of the Riga city in morning peak hours (7-9 a.m.)
was approx 20 km/h in the locations where the maximum regulation speed
was 50 km/h. At the same time the average driving speed on free-flow
arterials with regulation speed of 70 km/h of the Riga city in morning
peak hours (7-9 a.m.) was 50 km/h, which in comparison with regulated
arterials was even twice as much. This is explained by the fact that
there are no traffic lights on free-flow arterials (Archer et al. 2008).
Traffic volume on free-flow arterials changes throughout a day
(Fig. 1). However, if some time ago more dense traffic was observed in
certain morning and evening hours, the situation at present has changed.
The results show that the peak of traffic flows is observed from 7 a.m.
until 8 p.m. This leads to the conclusion that dense traffic flow is
observed in more than a half of the 24 hours.
The speed of each vehicle at a specific moment of time is called
momentary speed. The existing speed measurements on free-flow arterials
were done according to the local measurement method. Therefore to
perform further traffic analysis the speed data that was acquired
automatically was transformed into average momentary speeds for all
free-flow arterials with the help of the formula (Smirnovs 2008):
[V.sub.m] = N/[[summation][1/[V.sub.l]], (1)
where [V.sub.m]--average momentary speed, km/h; N--number of
recorded vehicles, veh; [V.sub.l]--local speed, km/h.
The analysis of acquired data on average momentary speeds leads to
a conclusion that the existing speeds on free-flow arterials in very
seldom cases exceeded the design speeds for traffic arterials. The
driving speed that exceeds the design speed is actually recorded only
during night time (8 p.m.-4 a.m.) that is only 20% of the whole day.
Traffic volume in these hours is, of course, minimal. At the regulation
speed of 50 km/h such situations is observed only in 2% of all hours per
day. At the regulation speed of 70 km/h the situations when the driving
speed has exceeded the design speed have occurred even more rarely--only
in 0.03%.
Figs 2 and 3 show the distribution of average momentary speed in %
in the existing traffic flow.
Based on the above mentioned a conclusion id made that enormous
capital investments required to implement geometrical parameters of
arterials streets set in the existing normative documents are in fact
inadequate as they provide traffic safety only for 2% of drivers who in
essence are deliberate violators of traffic regulations and brutally
exceed the maximum regulation speed by more than 30 km/h.
3.2. Relations found
3.2.1. Traffic flow density and average momentary speed
The performed analysis shows that at level of traffic load of 0.2
to 0.4 the regulation speed is not affected. With the increase of
traffic volume the average momentary speed decreases. When the traffic
flow density is high and the loading factor is more than 0.8 the average
momentary speed decreases and the traffic flow density increases. In the
study a more stable relation is observed between driving speed and
traffic flow density.
[FIGURE 1 OMITTED]
[FIGURE 2 OMITTED]
[FIGURE 3 OMITTED]
Traffic flow density was calculated:
C = Q/[V.sub.m], (2)
where C--traffic flow density, vpkm (vehicle per kilometre);
Q--traffic volume, vph (vehicle per hour); [V.sub.m]--average momentary
speed, km/h.
In changing weather conditions or because of accidents or vehicles
parked on roadways, congestion situations occur when the driving speed
decreases for 5-10 km/h and the traffic volume decreases, as well. The
specified traffic conditions relate to maximum traffic volume and
loading factor close to 1.0.
The determined relation of traffic flow density and driving speed
allows forecast the average momentary speed on free-flow arterials if
the traffic flow density is determined:
--at regulation speed of 70 km/h with 3 lanes:
[V.sub.m] = 61.01+ 0.257C-0.004[C.sup.2]; (3)
--at regulation speed of 70 km/h with 2 lanes:
[V.sub.m] = 53.28 + 0.535C--0.012[C.sup.2]. (4)
[FIGURE 4 OMITTED]
[FIGURE 5 OMITTED]
The relation between traffic flow density and average momentary
speed is also used to describe the conditions of traffic flow
(Dhamaniya, Chandra 2013). Similarly to the relation between traffic
volume and average momentary speed the existing speed in traffic low
greatly depends on traffic flow density. The greater the number of
vehicles in traffic, the lower is the existing speed. Fig. 4 shows the
relations between traffic flow density and average momentary speed on
arterial streets with free traffic flow at different regulation speed,
as well as with different numbers of lanes in different time periods.
3.2.2. Traffic volume and traffic flow density
According to the reference (Brilon 1993) when determining road
capacity it was assumed that the capacity of one lane is 2000 vehicles
per lane. This means that the total capacity is calculated by
multiplying the number of lanes with the capacity of one lane. However,
there are serious obstacles in real traffic on free-flow arterials that
reduce the total capacity of arterials significantly. Constant changing
of lanes, overtaking and manoeuvring have to be considered. Therefore
the total capacity is calculated by multiplying the capacity of a single
lane with respective capacity adjustment factor a.
Data on traffic volume does not show the specific types of
vehicles, therefore this data has to be adjusted. Traffic volume
adjustment factor [epsilon] with the value of 1.2 was chosen. Therefore
the average hourly volume used in the study was multiplied with
adjustment factor [epsilon] = 1.2.
The loading was calculated according to the following formula for
the loading factor:
[L.sub.f] = [[Q.sub.h][alpha]]/[C[epsilon]], (5)
where [L.sub.f]--loading factor; [Q.sub.h]--calculation hourly
traffic volume, vph; C--total road capacity, vph; [epsilon]--traffic
volume adjustment factor, [epsilon] = 1.2; [[alpha].sub.1]--capacity
adjustment factor for roadway with two lanes in one direction
[[alpha].sub.1] = 1.80; [[alpha].sub.2] capacity adjustment factor for
roadway with three lanes in one direction [[alpha].sub.2] = 2.45.
Measurements at night (1-4 a.m.) show that traffic volume in the
street network is minimal in comparison with the rest of the day.
Therefore the loading factor on arterials in these hours is 0.2. In the
period from 11 p.m. to 1 a.m. the loading factor is 0.2-0.3. Traffic
volume in urban streets increases dramatically in morning hours (6-8
a.m.) when the loading factor increases up to 0.5-0.6 and in turn the
actual driving speed decreases. The loading factor amounts to 0.7-0.8
practically in all day time hours (7 a.m.-7 p.m.).
The determined relation between traffic volume and traffic flow
density allows the forecasting of traffic volume on free-flow arterials
according to the following formula:
--at regulation speed of 70 km/h with three lanes:
Q = -147.4 + 86.54C-0.459[C.sup.2], (6)
--at regulation speed of 70 km/h with two lanes:
Q = -196.0 + 91.61C-0.798[C.sup.2] (7)
A relationship between traffic volume and traffic flow density is
another indicator that characterises traffic flow. Traffic flow theory
postulates that with the increase of traffic volume the traffic flow
density or the loading factor increases (He, Zhao 2013), as well. Fig. 5
shows the relation of traffic volume and traffic flow density on
free-flow arterials.
3.2.3. Design speed and momentary speed
To evaluate the influence of design speed on existing speed the
study included the measurements of driving speed on free-flow arterials
with different regulation speed, number of lanes and different
geometrical parameters with appropriate differing design speeds (Lazda,
Smirnovs 2011).
The existing traffic measurements show that the main factor that
determines the choice of driving speed is the traffic flow capacity
(Duret et al. 2012). After the review of 95% of average momentary speed
and design speeds at different loading factor on free-flow arterials a
conclusion is made that the increase of design speeds above 80-90 km/h
will not create any influence on the existing speed (Fig. 6).
4. Conclusions
1. The results of the study show that average speed on free-flow
arterials amounts up to 50-60% of the design speed specified for the
respective road. It has to be noted that congestion in peak hours in
today's street network amounts to 12-14 hours, and the present
study testifies that the speed that was used initially for designing the
arterials streets is not implemented in approximately half of the day.
Speed measurements in the street network show that design speeds or
regulation speed, whatever they are, contribute neither to the increase
of speeds nor to the time savings when driving a vehicle especially in
daytime. As the study shows the main factor that influences the existing
speed is the traffic flow density and the level of traffic load.
2. The design speed used in street design is defined as the driving
speed of a single vehicle on road. However, with the constant increase
of vehicle numbers single vehicles on streets could be seen only at
night (10 p.m.-6 a.m.). The study shows that at present and in the
future when the design speed is defined it is useful not to consider the
driving of a single vehicle but to refer to traffic flow where traffic
speed is depending on traffic flow density and limitations, speed limits
and road accidents.
3. When analysing the data acquired on average momentary speeds it
was concluded that the actual speeds on arterial streets rarely exceeded
the design speeds for arterial streets. Such situations were observed
only in 2% of all hours per day at the regulation speed of 50 km/h.
However, at the regulation speed of 70 km/h the situations when driving
speed exceeded the design speed occurred even much more rarely--only in
0.03%. Considering the above mentioned it is stated that significant
capital investments needed to comply with the requirements set in
normative documents for geometrical dimensions of arterial streets are
inadequately high, as they would provide safety only for 0.03% of all
drivers who in essence brutally violate the established maximum
regulation speed on roads by more than 40 km/h.
[FIGURE 6 OMITTED]
4. The results of this study serve as the basis for determination
of design regulation speed in urban areas on arterial streets with free
traffic flow. This means that road parameters, such as radius of
horizontal and vertical curves, lane width are reduced. Furthermore, the
general road construction costs are reduced, while ensuring adequate
level of traffic safety.
Caption: Fig. 1. Relation of traffic volume and momentary speed at
regulation speed of 70 km/h
Caption: Fig. 2. Distribution of average momentary speed at
regulation speed of 50 km/h
Caption: Fig. 3. Histogram of average momentary speed
Caption: Fig. 4. Relation of 95% average momentary speed and
traffic flow density
Caption: Fig. 5. Relation of traffic volume and traffic flow
density
Caption: Fig. 6. Relation of 95% average momentary speed and design
speed
doi:10.3846/bjrbe.2014.04
Received 12 March 2012; accepted 7 May 2012
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Ziedonis Lazda (1) ([mail]), Juris Smirnovs (2)
Faculty of Civil Engineering, Riga Technical University, Azenes 16,
LV 1048, Riga
E-mails: (1) ziedonis.lazda@csdd.gov.lv; (2) smirnovs@bf.rtu.lv