Substantiation of communication infrastructure selection in newly developed territories/Susisiekimo infrastrukturos parinkimo pagrindimas pletros teritorijose/Komunikaciju infrastrukturas izveles pamatojums no jauna attistamas teritorijas/Uhendusinfrastruktuuri valiku pohjendus uusarendusaladel.
Skrodenis, Egidijus ; Venckauskaite, Jurate ; Burinskiene, Marija 等
1. Introduction
To make good decisions on territorial planning is a task that has
become increasingly difficult. In Soviet times all the decisions planned
in the general plan of the city used to become obligatory, without any
alternatives. Therefore, the city plan used to be implemented as exactly
as possible. And in a period of only 5-10 years adjustments to the city
plan used to mature. The planning process involved only specialists and
representatives of municipal government, whereas the city plan was a
secret document (Juskevicius 1995). Such planning is not suitable for
nowadays market system. The goal of sustainable development is to
combine economic growth, social progress and sparing use of natural
resources, maintaining ecological balance and ensuring favourable living
conditions for current and future generations. Development is fostered
in a certain territory, in its natural environment, thus it is important
to find out reasonable extent and form of development, so that life
quality is maintained and negative impact on environment is reduced
(Burinskiene, Rudzkiene 2004, 2007, 2009; Kavaliauskas 2008). On the
market the most important role falls on a private initiative, based on
the information about market supply, demand, prices, profit probability
or other investment benefits. However, the market alone cannot determine
the economic efficiency of cities, environmental quality and social
harmony. Thus, a city must be administered--its development must be
regulated, controlled and planned (Steponaviciene, Juskevicius 2000).
After restoration of independence the situation has changed. In
recent years most investments are allocated to the largest Lithuanian
cities which, from the socio-economic point of view, are the most
developing. This causes the increasing differences in urban development
and human welfare. One can notice the more clear tendencies for uneven
development of residential areas, formation of socially and economically
negative locations distinguished by especially low quality of life,
arising threat for the formation of cities of economic and social
stagnation and ecological instability. The practice of comprehensive
plans, started in 2006-2007 in more than 50 municipalities and single
cities with the financial assistance of European Union, shows that the
development of the existing planning system has taken the road of
complicated and formal procedural requirements having nothing to do with
problem identification and the search of objective systemic problems.
Several reasons for the decrease in planning efficiency are as follows
(Burinskiene, Venckauskaite 2008):
--the lack of qualified specialists;
--a system of planning works is not logical and simple;
--insufficient investments into urban development, into measures of
vital importance for the urban functioning;
--the lack of complexity in solving urban development tasks;
--insufficiently humanized urban environment, consequences of urban
development measures are not taken into consideration;
--there are no good-quality territorial planning standards.
Formation of urban structures and systematic evaluation remain one
of the most important problems causing reduction of planning efficiency.
The main negative factors result from an undeveloped and non-systematic
planning system (Juskevicius, Jauneikaite 2008).
To sum up the above-mentioned problems it could be stated that for
ensuring a sustainable urban development the largest attention should be
paid to an even development of urbanized territories involving economic,
social and environmental aspects (to humanize existing territories),
also to city administration, creation of city image, representation of
public demands and social interest.
Transport is an inseparable part of residential territories.
Therefore, one of the most important objectives of urban development is
to ensure that the quality of urban mobility corresponds to the main
objectives of citizens. Then, in the urban development the quality
factors of urban structure, physical communication and other
communication means become the most important ones. The size of urban
communication network is essentially determined by the following main
factors (Juskevicius 2003):
--transport mobility of the residents;
--type of activity of urban enterprises (traditional industrial
enterprises using plenty of raw materials or the activity is related to,
for example, information technologies);
--position of the city in respect of national or regional
communication networks (air, road, maritime, river);
--significance of the city in a local system of settlements;
--density of urban built-up;
--extent of the use of underground and over ground space;
--car ownership level.
Planning a city street network should be based on the principles of
sustainable transport system. In Lithuania these principles have not
been applied so far, though, in Europe they are not new (Venckauskaite,
Skrodenis 2007). Though the comprehensive plans of cities and
municipalities have been intensively prepared, at present there are no
uniform methodology or construction regulations to regulate the
territorial planning documents. When planning communication systems, in
the territorial planning documents each organizer uses his methodology.
2. Modelling software recommended for planning communication
infrastructure
Modern computer technologies allow for a more accelerated and
precise estimation of the processes, performance of different
simulation, technical and economical grounding of solutions (Grigonis,
Paliulis 2007). When solving any traffic organization tasks in
junctions, it is necessary to have data about traffic characteristics:
traffic volume and its changes, possible manoeuvres, driving speeds,
junction saturation degree, driving directions, service level etc.
Geometrical parameters are also necessary. Transport investigations
could be divided into several types: operational, traffic management,
traffic organization, determination of various regularities and
processes. The overall objective of modelling--to collect information,
based on which to model a traffic process, i.e. with the highest
possible accuracy of mathematical formulas and descriptions to outline
parameters and characteristics of traffic flows. Having developed
accurate models, they ensure a more efficient control of traffic in
junctions, managing the work of passenger transport and making future
forecasts.
A number of intersection modelling software has been developed.
Some of them are used to model all types of junctions, the other are
applied to a concrete intersection type. The most worldwide used
junction modelling software is: Arcady, Picady, Oscady, SIDRA INTERSECTION, LISA+, Crossing etc.
Arcady software is designed for modelling only roundabouts,
analysing traffic flows and traffic congestions at roundabouts and
predicting delays at them. This software could be used to predict
accident risk, to design new and reconstructed roundabouts and to select
their parameters. It could be used for modelling small as well as large
roundabouts with up to 7 arms.
Oscady software is designed for modelling and predicting saturation
degree, queue lengths and time losses at isolated signal controlled
intersections. With the help of this software signal timings can be
optimized in a way to obtain max capacity of the junction or min delays
at traffic lights. It can be also used as a tool when designing new
signalized junctions and reconstructing existing designs.
Picady is a computer program for modelling and analyzing
uncontrolled intersections. It is suitable for designing new junctions
and assessing the effects of modifying the existing designs. It can be
used to analyze traffic flows, to calculate delays, to analyze accidents
at junctions controlled by various types of road signs. It is also used
to model pedestrian traffic.
LISA+ is a comprehensive software package developed by the company
Schlothauer and Wauer and used for designing, analyzing and modelling
signal controlled intersections. This software is used by more than 180
companies and scientific establishments not only in Germany but all over
the world. Each action made with this software is checked by logical
control and the obtained coordination results are checked according to the latest methodology for calculating signal cycles. There is an
additional possibility to create individual signal timing plans using
the VS-PLUS subprogram. This gives a possibility to synchronize the
obtained data with other systems, for example, with traffic control
computers through the previously intended guides meeting OCIT standards.
The software helps to identify and to analyze conflict points at a
junction. LISA+ can coordinate the selected single intersections, thus
giving a possibility to create "green waves". Also, it can be
used for modelling uncontrolled intersections, modelling and analyzing
uncontrolled roundabouts.
Crossing software is designed for modelling and analyzing only
signal controlled intersections. It can help to perform analysis of
conflict points at a junction and to design the coordinated traffic
control systems. The software is provided with many functions for
designing traffic signals, such as calculation of inter-timings in a
graphical form, making inter-timing matrices, creation of phases'
sequences for compatible signal groups, correction of optimization and/or manual fixed-time signals, coordination of single signal
controlled intersections etc.
Software package SIDRA INTERSECTION has been developed at Akcelik
and Associates Pty Ltd, Australia. SIDRA INTERSECTION is one of
worldwide used junction modelling software, which is for use as an aid
for design and evaluation of signal controlled intersections, signal
controlled pedestrian crossings, single point interchanges (signal
controlled), roundabouts, 2-way stops control, all-way sign control, and
yield sign control. The flexibility of SIDRA INTERSECTION allows its
application to many other situations, including uninterrupted traffic
flow conditions. SIDRA INTERSECTIONS is an advanced micro-analytical
traffic evaluation tool that employs lane-by-lane and vehicle
drive-cycle models coupled with an iterative approximation method to
provide estimates of capacity and performance statistics (delay, queue
length, stop rate etc). Although SIDRA INTERSECTION is a single
intersection analysis package, you can perform traffic signal analysis
as an isolated intersection (default) or as a coordinated intersection
by specifying platooned arrival data.
Arcady, Oscady and Picady software are easy-to-use tools having
many advantages, however, each of them is applied to a concrete type of
junction. SIDRA INTERSECTION, Crossing and LISA+ software are
complicated and having many possibilities though Crossing software is
intended only for signal controlled intersections. SIDRA INTERSECTION
and LISA+ can be used for modelling at grade junctions of various types.
Having assessed advantages and disadvantages of all software packages
intended for junction modelling for further investigation and modelling
of the most suitable type of junction, the software SIDRA INTERSECTION
was selected, since it provides an opportunity to identify not only the
main characteristics of junctions but also the level of service (LOS),
fuel consumption, operating costs and transport pollution.
Each city is unique, therefore, concrete decisions are inevitably
different. Sustainable development in this case becomes only a
principle, interpretation of which is very subjective. The task of this
scientific work--by using computer programs and traffic volume data to
select the most suitable type of junction for the planned territory. The
objective is to provide tools to better integrate the consideration of
auto and transit LOS in urban street design and analysis.
3. Service of communication system in the territories to be
developed. LOS concept
Physical urban development is interpreted as urbanization of new
territories, creation of new underground and over ground spaces,
reconstruction and restoration. The evelopment has to maintain the
former and to give a new living quality for the citizens. Control of
traffic flows is a complex task of urban planning and traffic
organization, the main objectives of which are (Burinskiene et al.
2003):
--to reduce time losses for public, cargo and individual traffic at
intersections;
--to increase traffic lane capacity at junctions by
"compacting" traffic flows, i.e. leaving in-between vehicles a
min distance necessary for traffic safety conditions;
--to reduce passenger time losses at intersections;
--to reduce the number of fatal and injury accidents at
intersections;
--to cut down additional fuel costs at intersections when engines
are idling;
--to decrease the number of stops in street segments and
intersections;
--to ensure a more even movement of all vehicles in street segments
and to reduce speed variations there;
--to reduce traffic noise level generated by additional stops at
intersections and their approaches;
--to reduce environmental pollution with exhausted gases due to
additional acceleration and deceleration of traffic flows and idling of
engines when crossing intersections.
With passive attitude towards urban development, using no modern
traffic organization measures, no order for planning and development of
urban communication system, unacceptable total disbalance of
communication system would be reached. Therefore, it is necessary to
take innovative measures of urban communication management, to create
favourable conditions for public and environment, to harmonize their
inter-relations and to construct conceptions of sustainable
communication system development suitable to the unique environment of
the city. In order to achieve all this various traffic control and
organization measures could be used.
For the evaluation of service level in street segment or
intersection the foreign countries use a concept of level of service
(LOS) which suggests that the LOS is a qualitative measure that
describes the operating conditions within an intersection or roadway
section, and the perception of those conditions by the facility's
users. The factors used to measure the LOS provided by any given
facility, might include any or all of the following:
--user's comfort;
--convenience;
--travel time;
--manoeuvrability;
--interruptions in traffic;
--speed;
--cost;
--number of stops;
--fuel consumption.
LOS is used to determine the LOS of roads, street segments as well
as signal controlled and uncontrolled intersections. Every type of
transport infrastructure facility (junction, freeway segment, arterial,
or pedestrian) has different operating parameters that are used to
determine its LOS. For junctions, the main operating parameter is
average control delay per vehicle defined in units of seconds per
vehicle. There are 6 levels of service defined for each transport
infrastructure facility type. Each level has a letter identification
from A to F with LOS A representing the best operating conditions and
LOS F the worst. Summary of average control delay per vehicle in seconds
for signal controlled and uncontrolled intersections is given Table 1.
When a low LOS is defined, it is necessary to take actions to
improve it. Before starting implementing new communication
infrastructure projects, decisions must be made that would meet the
highest LOS levels for the longest possible service time. In order to
choose proper decisions, it is necessary to make predictions and
modelling the predicted situation.
In Lithuania LOS has not been defined so far, though, taking into
consideration the changing transport system and increasing adjustment to
the transport system of Western countries, the LOS must be started to be
defined. Requirements for the LOS of signal controlled and uncontrolled
intersections are given in Highway Capacity Manual 2000 and they are
used in this paper. For more effective using of LOS in Lithuania it is
necessary to specify all transportation values according Lithuanian
conditions.
4. Investigative part
For the investigative part the city of Moletai was chosen. At
present the Comprehensive Plan of Moletai City is under preparation, the
decisions of which are planned to be implemented until 2018. The city of
north-eastern Lithuania is located in Utena County and is the
administrative centre of Moletai district. Though the city's
development was highly influenced by social, economic and political
factors, the largest influence on the city's formation was made by
main international roads and natural environment. Based on 2008 data,
the number of population was 6930. The analyzed territory is situated in
the historical centre of the city, where a larger part of social
infrastructure objects, periodic and episodic service objects and many
workplaces is concentrated (Fig. 1).
Based on the Master Plan of Moletai City conception, the
sustainable development alternative is suggested to be accepted--it is
planned to develop the city by expanding the urbanized territory towards
northern direction and to move the "centre of weight" of the
citizens more close to the historical city centre and to the
concentration zone of social infrastructure objects. The predicted level
of car ownership in Moletai City in 2018 is 470 cars/1000 population.
Such a level of car ownership will make a significant impact on
transport infrastructure (Fig. 2).
[FIGURE 1 OMITTED]
As mentioned above, the SIDRA INTERSECTION was selected. The
junction suite SIDRA INTERSECTION was applied for modelling the link
from a multi-storey residential territory to the urban street network
planned in the Comprehensive Plan of Moletai City. Traffic volume needed
for modelling the current situation was counted at morning and evening
rush hours in 2009. At the morning rush hours traffic volume was about
30% higher than in the evening. For this reason modelling of the
junction was based merely on the data of morning rush hours. Modelling
focused on finding out the best type of intersection for the analyzed
situation, which would meet the parameters of capacity, LOS, economic
and other. With the help of the SIDRA INTERSECTION the current situation
was modelled. Modelled alternatives were compared with regard to fuel
costs, LOS, operating costs and pollution.
5. Current situation
In the analyzed territory (Fig. 1) a territorial expansion of the
city is planned. Within the expanded territory residential areas are
planned with three possible service centres at the existing main and
planned service (C2 category) street junctions. The centres are planned
to be provided with everyday shopping centres or other small commercial
objects of similar character. Development of residential territories is
planned in stages--starting with the current city perimeter at the main
streets (round the planned service centres), with a gradual expansion in
the northern direction. Building-up type is varied from single 3-4
storey multi-flat houses and blocked houses to one-flat houses. A larger
density of population and building-up is planned at the future service
centres; towards the edges of the territory the building-up becomes more
thin, population density decreases. Residential territory would cover
the total area of about 96 ha with a planned population of 2500. The
planned density of population is 25 inhabitants/ha allowing to form and
service a sufficiently sustainable environment and to organize a good
communication within the analyzed territory. The link of the planned
residential territory in the northern part of the city with the current
communication system of Moletai City is planned through the junction of
Dariaus ir Gireno and Moletuno streets in the eastern part of the city
and through the junction of Vilniaus and Turgaus streets in the northern
part of the city. For a further analysis the junction of Dariaus ir
Gireno and Moletuno streets was selected.
The analyzed junction of Dariaus ir Gireno and Moletuno streets is
situated on the eastern outskirts of the city. The junction is also
joined by a gravel street which is planned as a link with the newly
created residential quarter. The existing configuration and the main
parameters of the street are in Fig. 3.
In May 2009, at the morning rush hours between 7 and 8 a.m. traffic
counts were carried out at the analyzed junction. The total traffic
volume at the junction--195 vph (vehicles per hour) of which 8% of heavy
traffic. Data on traffic volume is given in Fig. 4. Traffic counts
showed that at present traffic volume of the existing streets is 195
vph. The forecasted annual growth of traffic volume in Moletai City
until the year 2025 is 2% on average per year. Taking into consideration
the existing traffic volume, the future building-up density and the
future number of population in the planned territory, it is expected
that in 2025 traffic volume at the morning rush hours can reach 356 vph.
[FIGURE 3 OMITTED]
[FIGURE 4 OMITTED]
6. Types of intersections
For the analysis of the planned territory of Moletai City the
following at-grade intersections could be selected of the following main
types: uncontrolled, signal controlled and roundabouts. Principal
configurations of the intersections are given in Fig. 5.
Uncontrolled intersections are junctions, where no engineering
measures are used for traffic organization and the road users follow the
"right-hand" rule. Intersections of this type could be
constructed only under the following conditions:
--crossing streets are of the lowest category;
--width of neither of the streets exceeds 9 m;
--traffic volume does not exceed 380 vph;
--pedestrian traffic volume does not exceed 150 pedestrians/h;
--suitable geometrical conditions for street intersection and
visibility.
[FIGURE 5 OMITTED]
Usually, junctions, where there are no traffic organization
measures, could be characterized by the largest number of accidents,
numerous conflict situations, low capacity.
Intersections controlled by traffic signs are constructed at the
crossing of lower-category streets. Traffic control with the help of
traffic signs is effective where:
--traffic volume of light vehicles does not exceed 380 vph;
--pedestrian traffic volume to the largest direction does not
exceed 150 pedestrians/h.
The main requirements for the construction of intersections
controlled by traffic signs are the same as for uncontrolled
intersections; however, at intersections, controlled by traffic signs, a
higher level of traffic safety is ensured. Intersections, controlled by
traffic signs, are of 2 types, when traffic is controlled by:
--one or more "stop" signs;
--specific "Yield" (known as "Give way") signs.
Signal-controlled intersections are considered to be one of the
most effective traffic organization measures. Installation of traffic
lights at intersections reduces fuel consumption and travel time losses,
increases traffic safety for all road users and, if compared to
uncontrolled intersections, increases junction capacity and reduces
environmental pollution. Signal-controlled intersections are effectively
to install if the total traffic volume of the junction exceeds 560 vph.
To significantly reduce travel time losses and increase junction
capacity in the central part of the city, it is purposeful to join
single traffic lights into the coordinated traffic control system. To
rationally solve all the traffic organization tasks and to evaluate the
scattering of traffic flows due to unequal dynamics of vehicles, the
complicated simulation models are used--movement of traffic flows within
the street network is optimized, single traffic lights are joined into
the coordinated traffic control systems.
Roundabouts are intersections with a circular shape and with a
specific design and traffic control features. These features include
yield control of all entering traffic, channelized approaches and
appropriate geometric curvature to ensure that travel speeds on the
circulatory roadway average are about 20-30 km/h. Thus, roundabouts are
a subset of a wide range of circular intersection forms. Roundabouts can
be divided into mini, urban compact, urban single-lane, urban
double-lane, rural single-lane, rural double-lane, turbo roundabouts.
Diameter of roundabouts can be from 13 to 60 m. It depends on the type
of roundabout.
7. Selection of intersection type with the help of SIDRA
INTERSECTION software package
SIDRA INTERSECTION uses advanced gap acceptance techniques for
junction capacity and performance analysis based on empirical models to
calibrate gap-acceptance parameters. Gap-acceptance capacity models
apply to the analysis of minor movements at 2-way stop and
"Yield" sign junction, entry streams at roundabouts and
opposed turns at signal controlled intersections. SIDRA INTERSECTION
uses M3D model (Akcelik 2007):
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII], (1)
where [Q.sub.g]--capacity value, vph; [t.sub.f]--follow-up headway;
[t.sub.c]--critical gap; [[DELTA].sub.m]--average intrabunch headway, s;
[q.sub.m]--opposing flow rate, vps; [[phi].sub.m]--proportion of free
vehicles; [lambda]--a model parameter calculated as:
[lambda] = [phi] x [q/1 - [DELTA] x q, (2)
where q--the arrival flow rate, vps.
As mentioned above, it is forecasted that the planned residential
area will add to the morning rush hours about 70 vph. To select the most
suitable intersection type four above-mentioned alternative types of
at-grade intersection have been modelled and analyzed.
According to the current Lithuanian normative documents R 36-01
"Automobiliu keliu sankryzos" (Automobile Road Junctions) and
STR 2.06.01:1999 "Miestu, miesteliu ir kaimu susisiekimo
sistemos" (Communication Systems of Cities, Towns and Villages),
the exact geometrical parameters of the modelled junction alternatives
were selected (Table 2).
Also, with the help of SIDRA INTERSECTION phases of the signal
controlled intersections were modelled for the analyzed territory (Fig.
6).
The results for SIDRA INTERSECTION outputs were analyzed and are
presented in Table 3 to be easy option to make a comparison.
Analysis of data, obtained during modelling, obviously shows that
the effective intersection capacity after construction of roundabout
would be ensured up to 2528 vph. Similar capacity would be ensured also
by a yield controlled intersection. However, the capacity of signal
controlled junctions is 1.3 and 2.6 times (depending of the number of
phases) lower.
If yield controlled intersection or roundabout are constructed, the
highest LOS would be ensured. However, the LOS of signal controlled
intersections is lower. For the given and forecasted traffic loading,
roundabout offers a better capacity and hence degree of saturation is
less than of 2-way and signalised junctions. The average delay is the
lowest at 2-way yield junction. The lowest operating costs, fuel
consumption, average junction travel time and pollution are for 2-way
yield junction.
[FIGURE 6 OMITTED]
It was determined that the traffic volume being not large, the most
effective type for Dariaus ir Gireno and Moletuno streets junction is
2-way yield junction. However, modelling did not take into consideration
demand of land and traffic safety. It was calculated that 2-way yield
junction would require 40 [m.sub.2], roundabout--80 [m.sub.2]. It is
known that 2-way yield 4-arm junctions have 32 conflict points, whereas,
a roundabout has only 8 conflict points. Based on the Order V-410 (of 19
November 2008) of the Director General of Lithuanian Road Administration
under the Ministry of Transport and Communications of the Republic of
Lithuania, the accident losses are valuated as follows:
--cost of a person killed 2 010 615 Lt;
--cost of a person injured 182 569 Lt;
--cost of damage--only accident 5797 Lt.
Taking into consideration that 2-way yield 4-arm junction has more
conflict points and, thus, a larger accident risk and higher accident
losses, it is suggested to construct roundabout as the most effective
type of the junction. Besides, the junction is located at the
administrative border of Moletai City, serving for the city as
"city gates" and defining a rural-urban driving regime. When a
roundabout is constructed, the further questions of city image formation
when entering Moletai City, could be analyzed and solved.
8. Conclusions and proposals
In what cities the future generations will live in Lithuania, it
will depend on common efforts of planners, scientists and city
developers, the public, administrative abilities of all-level
politicians and on implementation of decisions made. Quality of
communication territories and spaces determine the functioning quality
of the city and the impact size. On this the city's prestige and
attractiveness to investments depend. Communication structures,
especially the main ones, are large attraction objects, operation of
which makes the influence on the use and attractiveness of adjacent
territories (land) and on market prices of land and buildings.
In Lithuania LOS has not been defined so far, though, taking into
consideration the changing transport system and increasing adjustment to
the transport system of Western countries, the LOS must be started to be
defined.
Modelling and substantiation of urban communication systems can be
performed by using modern modelling measures. Modern modelling tools are
very useful for assessing different types of junctions in urban
transport systems, comprehensive planning, analysis and forecast between
transport infrastructure facilities and urban development considering
different types of junction.
The objective of this study was to compare the operational
performance of roundabout, signalized and 2-way yield junctions under
similar traffic conditions. This means that traffic volumes were the
same during the study. The operational performance of the different
kinds of junctions was modelled and analysed using the measures of
junction effectiveness given by SIDRA INTERSECTION outputs.
This study was developed by a method of comparison. In the existing
situation there is an irregular 4-way yield controlled intersection.
Having collected data on traffic volume and geometrical parameters,
having made forecasts for the future traffic volume, 4 different type
junctions were modelled and the obtained results compared. Comparison of
alternatives based on the results of effective junctions capacity, back
of queue, LOS, control delay, operating costs, fuel consumption, travel
time, traffic safety and pollution showed that the roundabout will be
the best solution and the best type for the analysed junction in the
upcoming 16 years.
DOI: 10.3846/1822-427X.2009.4.87-94
Received 20 January 2009; 02 June 2009
References
Akcelik, R. 2007. A review of gap-acceptance capacity models [cited
10 May, 2009]. Available from Internet:
<http://www.sidrasolutions.com/Documents/AKCELIK_GapAcceptance
CapacityModels_CAITR2007.pdf>.
Burinskiene, M.; Jakovlevas-Mateckis, K.; Adomavicius, V.;
Juskevicius, P.; Klibavicius, A.; Narbutis, B.; Paliulis, G. M.; Rimkus,
A.; Sliogeris, J. 2003. Miestotvarka [Urban planning]. Vilnius:
Technika. 399 p. ISBN 9986056144
Burinskiene, M.; Rudzkiens, V. 2004. Comparison of
spatial--temporal regional development and sustainable development
strategy in Lithuania, International Journal of Strategic Property
Management 8(3): 163-176.
Burinskiene, M.; Rudzkiene, V. 2007. Assessment of sustainable
development in transition, Ekologija [Ecology] 53 (Supplement): 27-33.
Burinskiene, M.; Venckauskaite, J. 2008. Urban planning features in
Lithuania, in The Oxford Conference 2008 "50 Years on Resseting the
agenda for Architectural Education". 22-23 July, 2008, Examination
Schools, University of Oxford, UK.
Burinskiene, M.; Rudzkiene, V. 2009. Future insights, scenarios and
expert method application in sustainable territorial planning,
Technological and Economic Development of Economy 15(1): 10-25. DOI:
10.3846/1392-8619.2009.15.10-25
Grigonis, V.; Paliulis, G. M. 2007. Modelling the transport flows
in Marijampole (Lithuania), The Baltic Journal of Road and Bridge
Engineering 2(1): 29-37.
Juskevicius, P. 1995. Mieste susisiekimo sistemu planavimo proceso
proceduros [Procedures of city transport systems planning], Statyba
[Civil Engineering] 4(4): 45-66.
Juskevicius, P. 2003. Miestu planavimas [Town Planning]. Vilnius:
Technika. 142 p. ISBN 998605055083
Juskevicius, P.; Jauneikaite, K. 2008. Problems in urban structure
formation and principles of land use classification, Urbanistika ir
architektura [Town Planning and Architecture] 32(4): 240-247.
Kavaliauskas, P. 2008. A concept of sustainable development for
regional land use planning: Lithuania experience, Technological and
Economic Development of Economy 14(1): 51-63.
Steponaviciene, G.; Juskevicius, P. 2000. Predictions for
sustainable town development, Urbanistika ir architektura [Town Planning
and Architecture] 24(4): 137-139.
Venckauskaite, J.; Skrodenis, E. 2007. The principles of
sustainable street network and safe traffic system in Lithuanian cities,
Slovak Journal of Civil Engineering 15(1): 45-50.
Egidijus Skrodenis (1), Jurate Venckauskaite (3), Marija
Burinskiene (3)
Dept of Urban Engineering, Vilnius Gediminas Technical University,
Sauletekio al. 11, 10223, Vilnius, Lithuania
E-mails: (1) egidijus.skrodenis@lra.lt; (2) vjurate@ap.vgtu.lt; (3)
marbur@ap.vgtu.lt
Table 1. Average control delay per vehicle in seconds
LOS Uncontrolled intersections
A [less than or equal to] 10
B > 10 and [less than or equal to] 15
C > 15 and [less than or equal to] 25
D > 25 and [less than or equal to] 35
E > 35 and [less than or equal to] 50
F > 50
LOS Signal controlled intersections
A [less than or equal to] 10
B > 10 and [less than or equal to] 20
C > 20 and [less than or equal to] 35
D > 35 and [less than or equal to] 55
E > 55 and [less than or equal to] 80
F > 80
Table 2. Parameters of the modelled junction
Signalised junction
Parameters Roundabout 2 phases 4 phases
Approach/exit lane width, m 4/4.5 3.5/3.5 3.5/3.5
Width of separating island, m 3 -- --
Number of traffic lanes at
the junction 1 1 2
Island diameter, m 16 -- --
Circulating width, m 6.5 -- --
Pump price of fuel, Lt 3.6 3.6 3.6
Design life, number of years 16 16 16
Growth rate, % 2 2 2
Traffic volume 2009/2025,
vph (rush hours) 195/356 195/356 195/356
Priority
Parameters junction
Approach/exit lane width, m 3.5/3.5
Width of separating island, m --
Number of traffic lanes at
the junction 1
Island diameter, m --
Circulating width, m --
Pump price of fuel, Lt 3.6
Design life, number of years 16
Growth rate, % 2
Traffic volume 2009/2025,
vph (rush hours) 195/356
Table 3. SIDRA INTERSECTION outputs of the modelled junctions
Signalised
junction
Roundabout 2 phases
Effective intersection capacity,
vph 2528 1809
95% back of queue, m 4 11
LOS/LOS (worst movement)
Implementing/2025 A/A; A/B B/B; B/B
Degree of saturation
implementing/2025 0.076/0.104 0.148/0.198
Control delay (average), spv 8.5 14.9
Operating cost (total) at
implementing junction/2025, Lt/h 197/262 210/279
Fuel consumption (total), L/h 18.5 19.2
Travel time (average), s 51.3 55.9
[CO.sub.2]/CO/NOX, kg/h 46.4/3.34/0.1 48.2/3.52/0.104
Signalised
junction
Give way
4 phases junction
Effective intersection capacity,
vph 933 2449
95% back of queue, m 28 5
LOS/LOS (worst movement)
Implementing/2025 C/C; C/C -/A; -/A
Degree of saturation
implementing/2025 0.287/0.383 0.080/0.113
Control delay (average), spv 28.3 7.0
Operating cost (total) at
implementing junction/2025, Lt/h 244/325 188/252
Fuel consumption (total), L/h 20.8 17.9
Travel time (average), s 69.6 48.2
[CO.sub.2]/CO/NOX, kg/h 52.2/3.64/0.108 45/3.28/0.098
Fig. 2. The level of car ownership in Moletai City and its
forecast (cars/1000 population) according Comprehensive Plan
of Moletai City Conception
Year Cars per 1000
population
2000 251
2005 378
2010 430
2015 460
2020 510
2025 550
Note: Table made from line graph.