Transforming G2CC2G Relations through Virtual Collaboration an E Government Application in Transportation Service

5-07 Transforming G2c/c2g Relations Through Virtual Collaboration: An E-government Application In Transportation Service

TRANSFORMING G2C/C2G RELATIONS THROUGH VIRTUAL
COLLABORATION: an E-Government Application in Transportation
Service
Sayuri Egaravanda*, Lukito Edi Nugroho*, Teguh Bharata Adji*, Ahmad Munawar**
* Electrical Engineering and Information Technology Department,
** Civil and Environmental Engineering Department,
Faculty of Engineering, Gadjah Mada University,
Jl. Grafika No. 2 Kampus UGM, Yogyakarta 55581,
Email: sayuri@mti.ugm.ac.id, lukito@mti.ugm.ac.id, adji@mti.ugm.ac.id, munawar@tsipil.ugm.ac.id

ABSTRACT
This paper proposes a collaboration model among
user, government and transportation services. User
involvement is put into focus and gain more significant
role in decision making in transport management. This is
done by transforming information processing carried in a
Traveler Information System (TIS) system operated by
government. We develop Smart-ATIS, ATIS with twoway communication system that allows user feedback for
more effective and efficient traffic management. In the egovernment framework, Smart-ATIS opens up

opportunities of citizen participation in urban
transportation management.
Keywords:
Transformational
System,
Virtual
Collaboration, E-Government, Intelligent Transport
System, Advanced Traveler Information System, SmartATIS.

1

INTRODUCTION

In the era of technological advancement, numerous
new information and communication technologies (ICTs)
innovation has been introduced to the public sector [1].
An important phase of e-Government implementation is
the transformation of government and government
organizations to provide better services. E-Government
era implies fundamental knowledge redistribution and

requires a careful rethinking of the management of
information resources and knowledge bases [2]. Within
e-Government, the focus of managing information
resources is predominantly on the management of
interactions among the government, citizens or business
[21].
In the transportation area, the concept of Intelligent
Transportation System (ITS) grows out of the need to
enhance the efficiency and safety of the current
transportation system. [5,6,7,8]. Typically ITS solution
involves three major functions: Monitoring, Automated
Analysis and Action. Based on analysis, ITS allows us to
make many changes that affect real transportation

services, for example: changing of traffic signal timing,
posting a message to overhead changeable message signs,
modifying transit schedules and rerouting buses,
dispatching emergency services, providing information to
the media and public electronically, plowing and salting a
roadway [9].

Providing information in transportation area is not
enough, it is imperative that this delivery satisfies
customers of government services [24]. In order to
provide various service levels and to meet rising
expectations, government needs to utilize recent
advances in technological development [23]. In the near
future, technology will permeate almost every business
practice. By embedding microprocessors and sensors in
materials and physical devices, Organizations will also be
able to create objects that respond to their internal or
external environment [4].
The services not only have the function as an
information provider but also indirectly increase the user
involvement of public services. User satisfaction can be
achieved by providing opportunities for user involvement
related to traffic management decision-making, in this
case illustrated by Area Traffic Control System (ATCS).
ATCS is the system that focuses on traffic signals, ramp
metering, and the dynamic message signs. Generally,
traffic light settings depend on traffic counting and traffic

surveillance. Providing information based on real time
condition, occasionally not suitable with the real
condition when traveler passed that intersection, because
of the differences time. This paper tries to describe the
new model which enables intervention of ATCS by
processing user information.
In this paper we propose a model in which improve
collaboration among user and government in
transportation services. The idea is to inject an
intervention to the system that creates a communication
channel for common users to participate in the traffic
management system (represented by ATCS), which in

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turn improves better decision making in traffic
management and information provision for users.

3

2

3.1 The role of ATIS

RELATED RESEARCH

ITS is a state-of-the-art approach based on
information, communication and satellite technologies in
mitigating traffic congestion, enhancing safety, and
improving quality of environment [3] and is mandatory to
provide access based on human spontaneous
communication ability [15].
In the early days of ITS deployment, Advanced
Traveler Information System (ATIS) was used to provide
basic information for travelers (e.g., routes). ATIS is an
integral component of ITS. It carries out data collection,
aggregation and processing, communications and
operates with traveler interface devices to improve both

of safety and efficiency of existing transportation system
[10]. ATIS delivers data directly to travelers or citizens,
empowers them to make better choices about alternate
routes or modes of transportation. Researchers classified
articles into 5 classes of ATIS’s, These Five categories
were: In-Vehicle Routing and Navigation Systems, InVehicle Motorist Services Information Systems, InVehicle Safety Advisory and Warning Systems, InVehicle Signing Information Systems and Commercial
Vehicle Operations specific Funtions[9].

The important aspects of information are the content
and the type of information. Information in ATIS can be
categorized as (a) historical, real-time, or predictive, (b)
qualitative and quantitative, and (c) accurate, timely,
relevant, and reliable. Huang et al further investigated
from their view point of evaluation; the ATIS’s affects in
saving driver’s travel times and the travelers dynamic
responses, like purchasing the ATIS services and
believing the ATIS advice. According to J.L Adler,
model of Intelligent Traveller Information System
provides ITIS in which artificial intelligence techniques
Involvement of users in current ATIS improves their

confidence in using freeways and it is not only an
effective method of information presentation but also
allows more efficient navigation and less off-route, lost
time, and driver exposure [8]. Several models for
estimating link travel times on basis of individual data
sources (i.e. detectors, probe vehicles and driver reports)
was implemented to anticipate the problem based on
current conditions [14]. Users are generally appreciative
of traffic information that gives them a choice to make
decisions regarding their travel behavior as long as they
perceive the information to be accurate, timely and inexpensive [11].

THE PROPOSED MODEL : SMARTATIS

Some information which are required by travelers are:
the current state of the network based on real-time
information across all transports modes, where
congestion exist and any particular conditions (such as
weather or incidents) and travel option.
Yurdaer, R., et.al, states that ATIS plays an important

role because the quality of the defined routes has an indepth impact on the performance of whole transport
system. ATIS highlights existing conditions on our
transportation system that we act on. It also highlights
historical patterns used for planning the system and leads
to travel choices for the traveler. Advanced Traveler
information involves the traveler into the decision
process [16].
Actually, the impact of ATIS in traffic pattern and
network performance is controversial for several reasons
[18]:
1. Even if all users had a perfect knowledge of the travel
cost associated to each available path and user
equilibrium was achieved, this could be very far from
an optimum configuration of the whole network in
terms of total cost sustained by all users;
2. Even if we find how to distribute traffic on the
different paths and over time in order to minimize the
total network cost, and provide the appropriate
information what will the driver reactions be to our
suggestions?

3. How will the proportion of equipped and not equipped
drivers with ATIS impact the network performance?
4. An overreaction can occur if too many drivers respond
to the information.
The new model will provide information in the
context of transportation system that requiring
correspondence between user expectation and the
information. Virtual collaboration explains interaction
among government, citizen and government services
(ATIS).
Advanced technology will assist to get
information about users need and process with analytical
tools. Analytical tool associated with data modeling and
predictive analytics.

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3.2 Virtual Collaboration in Advanced
Traveler Information System
The essence of virtual collaboration is to break up the
unity of time, location and trade using information and
communication technology application.
In our model of ATIS we identify three typologies of
collaboration: government rules, context of system, and
user needs. Government rules are related to list of
activities, context of system is related processing process
and user needs is related output of ATIS (Table. 1).
Transformation process in government also relates to
collaboration between stakeholders. The idea of
collaboration corresponds with the concept of an
organization which includes collectiveness. It is obvious
that these collaboration instances have some benefits:
saves time or money, increases quality, innovating or
provides decision support ease of access to experts on
subject matter [13].

Table 1 ATIS as Information Service Provider

N
o

Activities

1

Collect, process,
store, and
dessiminate
transportation
information

2
2

Deliver of
traveler
information to
citizen

Information
Output
Processing
 Provide General
data warehouse
 Route Choice
function
Prediction of
 Collecting
travel time, etc
information from
transportation
system operator
 Provide realtime
 Route
traffic condition
Guidance
 Transit schedule
 Multimodal
information
Choice in
 Ride maching
Trip Planning
information
 Parking area
 Parking
and capacity
Information

Fig. 1 illustrated common interaction between Traffic
Management System which represents Government (c),
Advanced Traveler Information System (ATIS)
representing Government product (a) and User (b).
Each component possesses a relevant description of
subject (ATIS), task (activities of ATIS), owner
(government) and output (information service of ATIS).
In existing model of ATIS, every component has its
own specific purpose in collaboration. Intersections
between sets illustrate that collaboration occurs. ATIS
(a) will interact with government, represented by ATCS
(c) in process of presenting related information about
route selection and guidance. c serves as a source of data
for a in describing existing traffic condition, based on
output of information processing in ATCS. a can give b
(users) an advice about path selection, related paths, and
estimated travel time through web based application
interfaces. b can then use the information to decide his or
her trips.
Our proposed model transforms the interactions
among a, b, and c. Intervention of advanced technology
(x) in the processing information will lead to changes the
business process. The intervention will be conducted by
addicting the function of a (ATIS), not only as an
information provider, but also as intelligent tool.
Figure 2 illustrates the establishment of a new model
of virtual collaboration. In our model, a, b, and c
intersect each other by means of advanced technology
intervention (x). Variable x identified as transformational
process in processing information caused by advanced
technology.

Future COLLABORATION

x
COLLABORATION ENVIRONTMENT

Figure 2. Future Collaboration Environment

Figure 1. Collaboration Environment

The transformation produces two types of output,
route guidance and route prediction, without changing the
interacting participants. x will contains set of new rule in
processing information.

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Variable x is the application that is associated with
advanced technologies and this application can be
adaptive to the current context and the user context. The
applications have tools to acquiring and representing the
current context (location, traffic conditions, and thus
sensors sometimes needed. Also, the application needs to
acquire and represent the next condition in path network
to get additional inputs in order to facilitating the new
scenario in managing of traffic system. The application
has value added that become autonomous and proactive
which can free users from initiating processes and tuning
them to suit the current context and current interest. In
this system x also has a function as analytical tools.

the path's lifetime. The collection of active path is then
processed by RPE (step5).

ATIS

Future model experiencing transformation model in
processing information which allow the process of
collaboration between user (community), government
application (ATIS) and Government services (Traffic
Management System ) to describe the process of creating
a virtual communities supported by advanced technology.
The proposed model is Smart-ATIS.

3.3

Framework of SmartATIS with Dual
Engine

Smart-ATIS uses Dual Engine, Route Selection
Engine (RSE) and Route Prediction Engine (RPE). RSE
is working together with ATIS to provide optimum route
alternatives for traveler. RPE provides traffic forecasting
based on routes accepted by the traveler, determine
where traffic congestion will occur, and then sends the
intervention message to ATCS for pre-emptive
countermeasures.
Figure 4 explained conceptual framework of SmartATIS. When traveler accesses route selection in Smart
ATIS, (1) RSE will calculate several optimum routes (a
route is composed of several path) based on current
traffic information available from ATCS data sources),
then presented back to the traveler (step 2). If traveler
accepts one of the recommended routes (step 3), RSE
will store and accumulate paths in storage. This storage is
part of RSE. Each path has a lifetime, only stored during
a definite period of time; this is called an active path.
Each route has estimated travel time (step 4); this will be

Accumulation
of active path

Route Selection
Engine (RSE)

1

3
4
Real-time
accumulation of all
active path

8

Forecasting
5

7

The next parts of this paper describes the detail of the
proposed model of ATIS, providing travel time
prediction and route choices and also process the
information with analytical tool, in order to predict traffic
condition. The result of forecasting information will be
handed over to ATCS for further decision on the timing
of traffic lights. The new scenario will causes a change in
Traffic Management System autonomously.

2

ATCS

6

Route Prediction
Engine (RPE)

Figure 4. Framework of Smart-ATIS with dual Engine

RPE continuously performs forecasting based on the
collection of active path from the storage. During
forecasting, each path would have a new information
attribute, which is the future estimation of traffic load
(named “future traffic load”). This information then
compared to the threshold value indicating the maximum
traffic load on each path. If a path's future traffic load is
beyond threshold value, then a path can be determined as
congested (this attribute is named “future traffic state”).
Future traffic state value can be “congested” or “normal”.
The output of forecasting is a collection of path along
with the future traffic state attribute, transferred to ATCS
(step 6,7,8). Based on this feedback information, ATCS
can adjust the duration of traffic light on each path
according to the value of future traffic state in attempt to
achieve an optimal traffic flow state.

3.4

Implementation Architecture

We have so far discussed business process of
Smart-ATIS as a new paradigm in processing
information. To further understand the transformation
model of Smart-ATIS, it is helpful to view a Smart-ATIS
as special case and implemented in the real condition. In
order to acquire Smart-ATIS intervention, a pilot testing
should be done to districts/municipalities which already
have implemented ATIS and ATCS, for example
Jogjakarta Special Region. Existing ATCS in Jogjakarta
operates based on input from traffic surveillance and
traffic counting sensors.
Existing ATIS in Jogjakarta mainly provides
shortest route selection without considering real time
traffic conditions. Therefore, the existing ATIS needs to
be enhanced with a Route Prediction Engine which will

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capture user preferred route selections, provide traffic
load forecasting on preferred routes, and then handover
the forecasting information to ATCS for further decision
on the timing of traffic lights. (Fig. 5).
Our proposed model illustrated a collaboration model
in government application in transportation represented
transformation process while a (ATIS), b (user),and c
(ATCS) affected each other. Intervention of advanced
technology (x) as analytical tool in the processing
information will lead to changes ATCS automatically.

3.5

Implementation Architecture
Data
Sources

management in a specific area. In our future research, we
will develop traffic light simulation that models the
mechanism of Smart-ATIS.

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Figure 5 .Implementation Model of Smart-ATIS

4

CONCLUSION

We have discussed transformational of existing
services to create virtual collaborations among
government-operated system (ATCS), transportation
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government to provide traffic information which suits
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