KNOWLEDGE BASED SOFTWARE TO MANAGE TUNNEL FOR ONLINE CONDITIONS
Shadi
Abpeykar
PhD Student, Department of
Mathematics and Computer
Science, Amirkabir University
of Technology.
author
Mehdi
Ghatee
Assistant Professor, Department
of Mathematics and Computer
Science and Research Institute for
Traffic Engineering and
Transportation Focused on
Intelligent Transportation
Systems, Amirkabir University of
Technology.
author
text
article
2014
per
Optimal usage of transportation equipments are very important issue in many countries which use ITS. Tunnel is one of the transportation structures which has many transportation systems as Jet fans, LED, CCTV,... so there is a need to have a control room in tunnel, which helps using these sensors, and make decisions in different critical situations rapidly. In this paper operation of control room to manage tunnel intelligent transportation system, is mentioned and then based on knowledge engineering rule extractions are discussed. These rules are used as a database for expert system. Then they used for tunnel management. In knowledge engineering, learnable algorithms are run, and near extracting of rules, they made a report for tunnel administrator. As a result Naive bayes decision tree with lower process time and higher accuracy made a best result for Niayesh tunnel in Tehran.
Civil Infrastructure Researches
University of Qom
2783-140X
1
v.
1 (ویژه نامه راه و ترابری)
no.
2014
1
12
https://cer.qom.ac.ir/article_570_8b951669d6896ebd6002d4d9fee5f15f.pdf
dx.doi.org/10.22091/cer.2014.570
TEHRAN TRANSPORTATION POLLUTION LOAD ESTIMATION FOR THE ASSESSMENT OF EMISSIONS REDUCTION SCENARIOS
Ehsan
Banitalebi
Master, Fuel Combustion and
Emission (FCE) Research
Center, Sharif University of
Technology.
author
Saeed
Dehghani
Master, Sharif Advanced
Technologies Incubator
(SATI), Sharif University of
Technology.
author
Vahid
Hosseini
Assistant Professor,
Department of Mechanical
Engineering, Sharif University
of Technology.
author
text
article
2014
per
Personal cars have been considered as a main air pollution sources. The amount of vehicle emissions correlates with urban traffic, which is affect average trip speed. With the use of Tehran emissions model of personal cars, and the online data of speed and travel time, instantaneous NOx, HC and CO mass production were calculated. Emission model was developed based on thirty portable emission tests and speed data were obtained by traffic sensors installed in a few highways of Tehran. The important application of this system is to assessment of transportation emissions reduction scenarios.
Civil Infrastructure Researches
University of Qom
2783-140X
1
v.
1 (ویژه نامه راه و ترابری)
no.
2014
13
19
https://cer.qom.ac.ir/article_571_4b0587be248fd0a1ed6557e57e84b00f.pdf
dx.doi.org/10.22091/cer.2014.571
EVALUATION OF APPLIED ROAD TRAFFIC RESTRAINT (CASE STUDY: TEHRAN-QOM ROAD)
Seyed Mohammad Hosein
Dehnad
Academic scholarships,
Department of Engineering,
University of Qom.
author
Ali Akbar
Eskandari
Transport planning expert,
University of Applied Sciences
and Technology.
author
Hosein
Zand
MSc Student, Islamic Azad
University of Tehran.
author
text
article
2014
per
Nowadays, with the increasing growth of vehicles and increasing of trips and also financial constraints and roads development, transportation network managers eager to follow transportation demand management. Application of traffic restraint is one of the methods that reduce the supply and demand transportation. In this paper, to investigate the effects of trip restrictions for heavy vehicle, driven old road Qom - Tehran and its alternative paths during the traffic restraint for heavy vehicles, there have been studied. Traffic information in three different periods of time including restriction time, the same period in the weeks before and after the restriction of detectors mounted on each road were obtained. Based on the results observed during the restriction period in addition to reducing the number of heavy vehicles, passenger cars are too low. Also, Assumption was that the goal of banning heavy vehicles traffic on the old road and transfer to Tehran-Qom freeway has not been met. Based on the data recorded in road alternatives, it cannot be observed a significant change in traffic volume of heavy vehicles over the period of time.
Civil Infrastructure Researches
University of Qom
2783-140X
1
v.
1 (ویژه نامه راه و ترابری)
no.
2014
21
27
https://cer.qom.ac.ir/article_572_b58e830d2a32d74265d44df8ad69ac43.pdf
dx.doi.org/10.22091/cer.2014.572
PREDICTION OF SPEED FLOW IN THE ROAD NETWORK
Mohammad
Mohseni
Master of Civil Engineering,
Department of Civil and
Environmental Engineering,
Amirkabir University of
Technology.
author
Gholamabbas
Bahraminia
Master of Civil Engineering,
Islamic Azad University South
Tehran Branch.
author
Hamed
Abedi
Master of Civil Engineering,
Department of Civil
Engineering, Iran University of
Science and Technology.
author
text
article
2014
per
The purpose of this study is to provide a model to predict the speed of the traffic flow, in the road network. Using a neural network in which estimated relationship between the flow and traffic parameters including flow rate, volume flow percentage of heavy vehicles. The distinctive feature of this study with previous studies is using neural network model and the efficacy of both volume and percentage of heavy vehicles in estimating the flow rate. The data used in this study is derived from the output of loops in the road networks of Markazi province. The results of the modeling showed that by increasing the volume to capacity of up to 0.6, It is not seen a noticeable change in speed. And in these conditions and in the case of percentage of heavy vehicles is less than 10% of the flow rate, speed flow is more than 90% of the free flow speed. The results also showed that in the common day in the road network , the level of speed is on the A and B.
Civil Infrastructure Researches
University of Qom
2783-140X
1
v.
1 (ویژه نامه راه و ترابری)
no.
2014
29
38
https://cer.qom.ac.ir/article_573_d97118de40c6fcab7da1297fc66aec5d.pdf
dx.doi.org/10.22091/cer.2014.573
EFFECTIVE TRAFFIC CONGESTION MANAGEMENT USING AUTOMATIC TOLL COLLECTION ON URBAN HIGHWAYS (CASE STUDY: SADR MULTILEVEL HIGHWAY)
Mahmoud
Safarzade
Department of Civil and
Environmental Engineering,
Tarbiat Modares University.
author
Amir
Rasuli
Safety and Intelligent
Transportation Institute,
Tarahan Parseh Transportation
Research Institute.
author
text
article
2014
per
Population and traffic demand growth have caused over-capacity traffic volume, unpleasant level of service, and traffic congestion in urban freeway/highway networks. Various demand management strategies are used these days which have significant role in network performance boosting. Pricing is one of these popular strategies which is effectively used world-wide. In this paper, a reasonable toll price is determined for Sadr multilevel highway and pricing effects on this highway is studied.
Civil Infrastructure Researches
University of Qom
2783-140X
1
v.
1 (ویژه نامه راه و ترابری)
no.
2014
39
48
https://cer.qom.ac.ir/article_574_8a41e7dc104d893366ffb454e8bb1012.pdf
dx.doi.org/10.22091/cer.2014.574
USING THE WIRELESS SENSOR NETWORK IN INTELLIGENT TRANSPORTATION SYSTEMS
Javad
Shakeri
Master of Management
Information Systems,
University of Tehran.
author
Meysam
Dirin
Master of Civil Engineering,
Islamic Azad University of
South Tehran Branch.
author
text
article
2014
per
In this paper, the general format sensor networks and components and structural framework of collecting traffic information systems based on sensor networks is discussed and the potential difficulties in implementation and strategies for the Analytical discussed. The different types of sensors can be used in intelligent transportation systems (induction loop, magnetometer, magnetic sensors, radars, microwave, infrared, active and passive Aytfrard) is introduced and the capabilities, strengths, weaknesses, and unfavorable planting conditions, how to assess the characteristics of cars and their placement is discussed and analyzed.
Civil Infrastructure Researches
University of Qom
2783-140X
1
v.
1 (ویژه نامه راه و ترابری)
no.
2014
49
57
https://cer.qom.ac.ir/article_575_2359d1b77e4bfc0c61e2022b1906ef1d.pdf
dx.doi.org/10.22091/cer.2014.575