scholarly journals Highway Traffic Management using Smart Toll Plaza

2019 ◽  
Vol 8 (6S3) ◽  
pp. 1219-1222
Keyword(s):  
Traffic Congestion ◽  
Traffic Management ◽  
Highway Traffic ◽  
Bank Account ◽  
Rfid Tag ◽  
Toll Plazas ◽  
Android App ◽  
Toll Plaza ◽  
Made In ◽  
Rfid Readers

Nowadays for paying the tax at tollgates there is a heavy rush/traffic. In order to reduce the traffic congestion near Toll plazas and to save the time, payment can be made in advance using an android app along with RFID tag. An android app is developed based on i-Beacon Technology which will communicate to the RFID readers at the toll gates. The bank account of user is connected to the user’s app installed in his/her mobile. The verification of payment at the toll gates can be done with RFID and i-Beacon technology. On selecting the route of travel/journey the user can pay through the android app. If the payment has been done already toll gate opens, else the customer has to pay the toll tax manually. For further toll gates, the beacons will connect to the payment app to verify the payment details.

scholarly journals Online Toll Gate Payment System using RFID & IoT

2019 ◽  
Vol 8 (4) ◽  
pp. 11738-11745
Keyword(s):  
Traffic Congestion ◽  
Economic Loss ◽  
Payment System ◽  
Road Transportation ◽  
Electrical Method ◽  
Rfid Tag ◽  
Vehicle Owner ◽  
Toll Plazas ◽  
The People ◽  
Toll Plaza

Road transportation system in Indiafacing big challenge to maintain sophisticate Toll plazas. In general method all Vehicles should stop at toll plazas to pay toll tax. One person at Tollgate collects the tax manually and issues the receipt. After payment, the gate will be opened either mechanical method or electrical method. This is a widely used method in India. Due to this, the wastage of time at toll plazas is the main cause to produce more traffic congestion on highways. Traffic congestion on highways at Toll plazas leads to huge economic loss, fuel and time wastage and causes more pollution. As all the people are very busy with their tight schedules they have no time to spare in the traffic. This traffic congestion leads to wastage of their valuable time causing inconvenience. To overcome the drawbacks of the manual method, Online Toll Payment System is developed to reduce the traffic congestion at toll plazas on highways which will become part of the metropolitan and urban cities these days. This system allows the user to make the payment of toll plazas taxes automatically. In this method we use the authentication cards with the help of radiofrequency. The vehicles should contain an RFID tag that has a unique identification number, like name and license number. (owner). RFID is placed on top of the vehicle and when it reaches the electromagnetic zone near toll plaza the RFID reader automatically captures data and electronically identify, track & store information contained on RFID tag then microcontroller sends the message to phone number placed in RFID card regarding payment. The GSM module is interfaced with Microcontroller to send the messages to the vehicle owner like a web link to pay the toll bill. This payment is done with the help of Payment gateways. If the owner should not pay the money within 20 minutes after crossing the toll plaza, this information is posted in the Cloud server using HTTP server. If he/she does not pay in couple days he receives notice from the respective RTO office with the help of data available in the server. It is repeated periodically may chance to cancel the license of the owner. In this proposed method the vehicles are not supposed to stop at toll plazas. They can directly pay the money through the link generated after crossing the plazas. After payment, the owner gets the message like your payment done successfully. This project uses the RFID cards to store vehicle number, owner mobile number and License number. RF scanner is used to scan the RFID cards and interfaced with LPC 2148 ARM Microcontroller. This controller sends message to owner mobile number with the

Application of Queuing Theory to Address Traffic Problems at a Highway Toll Plaza

2014 ◽  
Vol 592-594 ◽  
pp. 2583-2587 ◽  
Author(s):  
Dheeraj Duhan ◽  
Nishant Arya ◽  
Prateek Dhanda ◽  
Lalit Upadhayay ◽  
K. Mathiyazhagan
Keyword(s):  
Data Analysis ◽  
Waiting Time ◽  
Traffic Congestion ◽  
Queuing Theory ◽  
Arrival Rate ◽  
North India ◽  
Service Rate ◽  
Operational Effectiveness ◽  
Toll Plazas ◽  
Toll Plaza

In India, due to the escalating traffic issues, a large number of highways have been built in the recent past, which are maintained by tax collection at toll plazas, by various operating agencies. Due to smooth and hassle free driving on highways, the arrival rate of vehicles at Toll Plazas increases. The arrival rate goes beyond control if the traffic on the highway increases in an uncontrolled manner, with the passage of time. Thus, one of the irrefutable drawbacks of putting up Toll Plazas, is the traffic congestion. The waiting time, in the service lanes, due to such a congestion becomes high and excruciating for the commuters on the route. The objective of this study is to analyze the current situation, of traffic congestion, at a highway toll plaza using queuing theory and suggest possible solutions to encourage greater efficiency, thus reducing waiting time of the customers and money wasted because of that. This study has been carried out in various phases, i.e. problem identification, data collection, data analysis and results at a selected Toll Plaza in North India. The data analysis in the study helps to find out the current operational effectiveness of the Toll Plaza through parameters like, Arrival Rate, Service Rate and Number of toll booths. Finally, possible solutions have been put forward which can be recommended and implemented on various Toll Plazas in the country.

Design & Construction of Setiawangsa – Pantai Expressway (SPE - DUKE Ph3) – Section 3 from Pandan to Setiawangsa in Kuala Lumpur

2018 ◽  
Author(s):  
P. R. K. S. Srinivas ◽  
Tham Beng Choy
Keyword(s):  
Traffic Congestion ◽  
Cost Effective ◽  
Infrastructure Development ◽  
Kuala Lumpur ◽  
Box Girders ◽  
Toll Plazas ◽  
Toll Plaza ◽  
The Government ◽  
Construction Operation ◽  
Design Construction

<p>The Setiawangsa – Pantai Expressway (SPE - DUKE Phase 3) is an infrastructure development under transformation programmes undertaken by the Government of Malaysia through Concessionaire Lebuhraya DUKE Fasa 3 (LDF3) Sdn. Bhd. The total length of SPE mainline is 32Km besides 7 interchanges, 2 mainline toll plazas, 3 ramp toll plazas and is divided in to 4 sections [1]. The proposed Section 3 from Pandan to Setiawangsa of SPE project involves design, construction, operation and maintenance of 5km long elevated dual 2-Lane highway with 24.9m wide mainline deck besides an interchange and ramp toll plaza at AKLEH interface in Kuala Lumpur. The project alignment is located in densely developed urban environment and mainly traverses over existing arterial roads, storm water tunnel (SMART) underneath, crosses urban arterials, expressway, LRT line, river and acts as a city bypass for effective traffic dispersal system in order to alleviate traffic congestion on local at-grade roads. The project is completely on an elevated structure in the form of double deck and single deck arrangement in order to minimise the land acquisition, least disturbance to road users, adjoining developments and utilities. Various types of super structure viz., precast T-beams, U-Beams, cast in-situ / precast box girders are adopted besides different types of foundation &amp; substructure with longest span being 62m. This paper aims at presenting an insight of various types of designs, innovative methods adopted to suit the site constraints and interfacing issues to meet project timeline, cost effective design approach during the construction of Section 3 of Setiawangsa – Pantai Expressway.</p>

Modeling traffic flow in work zone sections considering the effect of traffic lights

2021 ◽  
pp. 2150113
Author(s):  
Xingyu Lu ◽  
Li Fei ◽  
Huibing Zhu ◽  
Wangjun Cheng ◽  
Zijie Wang
Keyword(s):  
Traffic Flow ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Traffic Accidents ◽  
Red Light ◽  
Work Zone ◽  
Traffic Model ◽  
Traffic Density ◽  
Highway Traffic ◽  
Traffic Lights

Based on the two-lane highway traffic model with a work zone presented previously, a new traffic model with a work zone under the control of traffic lights is proposed. The length of the waiting area for vehicles before traffic lights is recommended cautiously after numerical simulation. The relationship between the vehicles’ queuing time and the cycle of traffic lights is studied, and the cycle time of traffic lights is obtained also considering people’s endurance to the red light. It is found that the traffic lights are effective to ease the traffic congestion in the work zone when the density is medium, and help to eliminate the inducement of traffic accidents. On the other hand, the simulation results show that traffic lights are not needed in the work zone when the traffic density is small. It indicates that the traffic flow in the work zone area can be optimized by using appropriate traffic management when the traffic density varies.

Assessment of Queue Length and Delay at Toll Plaza Using Microscopic Traffic Simulation

2015 ◽  
Vol 802 ◽  
pp. 387-392 ◽  
Author(s):  
Mohammed Bally Mahdi ◽  
Lee Vien Leong
Keyword(s):  
Traffic Congestion ◽  
Queue Length ◽  
Traffic Simulation ◽  
Simulation Models ◽  
Simulation Software ◽  
Average Delay ◽  
Microscopic Traffic Simulation ◽  
Traffic Pattern ◽  
Toll Plazas ◽  
Toll Plaza

Highways and freeways usually experience severe traffic congestion due to the presence of toll plazas which is considered as a bottleneck. In recent years, traffic engineers around the world have utilised microscopic traffic simulation models as tools to evaluate the performance of selected freeway facilities based on known traffic pattern data. This study attempts to analyse the performance of toll plaza by utilizing the microscopic traffic simulation software VISSIM 6.0, based on two different output measures, namely: average queue length and average delay time. At the selected toll plaza, data are collected at toll booths for all three modes of payments, which are: cash mode, Touch n Go, and Smart TAG. Therefore, this study aims to build a microscopic traffic simulation model that is capable of analysing the behaviour of vehicles at toll plaza based on the mentioned output measures for each mode of payment and also to determine the type of payment mode that has the most significant impact on the overall performance of toll plazas and ultimately, to understand the causes of congestion at toll plaza.

scholarly journals Traffic Congestion and Infant Health: Evidence from E-ZPass

2011 ◽  
Vol 3 (1) ◽  
pp. 65-90 ◽  
Author(s):  
Janet Currie ◽  
Reed Walker
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
Traffic Congestion ◽  
Vehicle Emissions ◽  
Infant Health ◽  
Housing Prices ◽  
Electronic Toll Collection ◽  
Toll Plazas ◽  
Toll Collection ◽  
Toll Plaza

We exploit the introduction of electronic toll collection, (E-ZPass), which greatly reduced both traffic congestion and vehicle emissions near highway toll plazas. We show that the introduction of E-ZPass reduced prematurity and low birth weight among mothers within 2 kilometers (km) of a toll plaza by 10.8 percent and 11.8 percent, respectively, relative to mothers 2–10 km from a toll plaza. There were no immediate changes in the characteristics of mothers or in housing prices near toll plazas that could explain these changes. The results are robust to many changes in specification and suggest that traffic congestion contributes significantly to poor health among infants. (JEL I12, J13, Q51, Q53, R41)

scholarly journals Granger Causality Analysis on PLUS Highway Traffic Network

2018 ◽  
Vol 7 (4.30) ◽  
pp. 432
Author(s):  
Norhaidah Mohd Asrah ◽  
Maman Abdurachman Djauhari ◽  
Azme Khamis ◽  
Rohayu Mohd Salleh ◽  
Sya Sya Syahira Muhammad Fitri Avtar Avtar
Keyword(s):  
Granger Causality ◽  
Traffic Network ◽  
Causality Analysis ◽  
Highway Traffic ◽  
Granger Causality Analysis ◽  
Toll Plazas ◽  
Northern Areas ◽  
Toll Plaza ◽  
Relationship Of ◽  
Highway Management

PLUS Malaysia Berhad (PMB) is the largest toll expressway operator in Malaysia and South East Asia. Based on this reputation, PLUS handled thousands of vehicles every day.  It covers the in-coming and out-coming traffic burdens from the northern areas to the southern areas. In order to manage these traffic burdens, toll plazas are located along this highway. Previous studies revealed that some of these toll plazas are important in managing the traffic burdens. This study analyze the importance of Skudai (SKD) toll plaza in Johor from 2009 until 2013. The causal relationship between SKD toll plaza with other toll plazas in Johor is studied to determine if there is any potential correlation or relationship of SKD with other toll plazas by using the Granger causality analysis. The findings show that there is a bidirectional Granger causality between SKD and Tangkak (TGK) as well as Machap (MAC) toll plazas. Meanwhile, there is only a unidirectional Granger causality between SKD and Yong Peng Utara (YPU) and Yong Peng Selatan (YPS) toll plazas. These results benefit the PLUS highway management to identify which potential toll plazas that can increase the traffic burden out from SKD toll plaza.

scholarly journals Evaluating Active Traffic Management (ATM) Strategies under Non-Recurring Congestion: Simulation-Based with Benefit Cost Analysis Case Study

2020 ◽  
Vol 12 (15) ◽  
pp. 6027
Author(s):  
Siham G. Farrag ◽  
Fatma Outay ◽  
Ansar Ul-Haque Yasar ◽  
Moulay Youssef El-Hansali
Keyword(s):  
Fuel Consumption ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Highway Traffic ◽  
Benefit Cost Analysis ◽  
Simulation Based ◽  
Potential Benefits ◽  
Benefit Cost ◽  
Fuel Consumption And Emissions ◽  
Traffic Operation

Dynamic hard shoulder running and ramp closure are two active traffic management (ATM) strategies that are used to alleviate highway traffic congestion. This study aims to evaluate the effects of these two strategies on congested freeways under non-recurring congestion. The study’s efforts can be considered in two parts. First, we performed a detailed microsimulation analysis to quantify the potential benefits of these two ATM strategies in terms of safety, traffic operation, and environmental impact. Second, we evaluated the implementation feasibility of these two strategies. The simulation results indicated that the implementation of the hard shoulder showed a 50%–57% reduction in delay, a 41%–44% reduction in fuel consumption and emissions, and a 15%–18% increase in bottleneck throughput. By contrast, the implementation of ramp closure showed a 20%–34% decrease in travel time, a 6%–9% increase in bottleneck throughput, and an 18%–32% reduction in fuel consumption and emissions. Eventually, both strategies were found to be economically feasible.

scholarly journals Literature Study: Highway Traffic Management with Sentiment Analysis and Data Mining

2021 ◽  
Vol 1 (1) ◽  
pp. 27-31
Author(s):  
Nurul Khairina ◽  
Muhammad Khoiruddin Harahap
Keyword(s):  
Data Mining ◽  
Social Media ◽  
Sentiment Analysis ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Road Traffic ◽  
Highway Traffic ◽  
Literature Study ◽  
Data Mining Algorithms ◽  
Mining Algorithms

In today's era, technology is growing rapidly, many of the latest technologies are in great demand by the Indonesian people, one of which is social media. Various social media such as Facebook, Twitter, Instagram, have become very popular applications for various ages, including teenagers, adults, and the elderly. Social media has a positive impact that can help people convey the latest information through posts on their respective accounts. Social media can disseminate information in a short time, this is why social media is an interesting application to research. The problem of road traffic congestion is strongly influenced by the number of vehicles that pass every day. A large number of private vehicles and public vehicles that pass greatly confuses the atmosphere of highway traffic. Congestion often occurs during working hours. Road congestion also often occurs when an unwanted incident occurs. Sentiment analysis algorithms and data mining algorithms can be combined to find information on traffic jams through social media such as Facebook, Twitter, Instagram, and other social media. The results show that sentiment analysis methods and data mining algorithms can be used to find information about current traffic jams through social media. The conclusion from this literature study can be seen that the K-Nearest Neighbor data mining algorithm is the best choice to overcome road traffic congestion, which will then be further developed in the form of highway traffic management modeling.

An Application of RFID Technology in Traffic Congestion Management

2014 ◽  
Vol 513-517 ◽  
pp. 3954-3957 ◽  
Author(s):  
Hai Yang Feng ◽  
Jia Liang He ◽  
Li Jun Zhang ◽  
Fan Gang Meng
Keyword(s):  
Traffic Congestion ◽  
Traffic Management ◽  
Congestion Management ◽  
Rfid Tags ◽  
Management Process ◽  
Rfid Technology ◽  
Rfid Tag ◽  
Rfid Systems ◽  
Manual Intervention ◽  
Rfid Applications

RFID is a technology which is used to identify remote objects embedded with RFID tags by wireless scanning without manual intervention; it can be used in traffic management wildspread. In this paper, we propose RFID tag management process for every vehicle firstly; some typical or potential RFID applications in traffic management are introduced such as vehicles congestion managementandengineemission inspection from petrol automotives subsequently; finally, the existing issues of implementation of RFID systems are generalized.

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