DISEÑO DE UN SISTEMA DE MONITOREO, ADMINISTRACIÓN Y RECAUDO INTELIGENTE PARA EL TRANSPORTE PÚBLICO

Los sistemas de transporte público son eje central del desarrollo de las ciudades ya que garantizan la movilidad y el acceso de sus habitantes a diferentes actividades productivas y sociales. No obstante, los largos recorridos de los buses, y la congestión de tráfico resultante, reducen la calidad de vida y la productividad económica de una región, al tiempo que complican los procesos asociados al control de las rutas y los eventos producidos durante el desplazamiento de los vehículos. En este entorno, este artículo presenta los aspectos generales del proyecto (S.M.A.R.t)1 que busca diseñar e implementar una plataforma tecnológica integral para el monitoreo, gestión de flota y recaudo para las empresas de transporte público de Medellín y del Valle de Aburrá (Colombia), bajo la visión de un Sistema Inteligente de Transporte. De acuerdo con lo anterior, en la primera sección se presentará una introducción al contexto de los sistemas inteligentes de transporte, para posteriormente abordar los procesos de diseño de alto nivel y terminar con el esquema de la solución concebida. Finalmente se presentará un panorama del trabajo futuro y las conclusiones obtenidas hasta el momento. Palabras clave.- SIT, Sistemas inteligentes de transporte, Control de ruta, Sistema a bordo. ABSTRACTPublic transportation systems are the main support of urban development as they ensure passenger mobility and access to jobs and social activities. However, the length of bus routes and the resulting traffic congestion can reduce the quality of life and economic productivity of a region, while at the same time complicating the processes associated with the control of the routes and the operation of the vehicles. In this context, the present article introduces the S.M.A.R.t1 project, which will design and implement an integrated technology platform for monitoring, fleet management and fare collection in the public transportation companies of the city of Medellin and the Aburrá valley (Colombia) under the concept of Intelligent Transportation System. The first section introduces the context of Intelligent Transport Systems, then high-level design processes are addressed, and the concept of the proposed solution is presented. Finally, an overview of future work and the conclusions obtained so far are presented. Keywords.- Intelligent transportation systems, ITS, Route control, On board system.

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A Comprehensive Study on Intelligent Transportation Systems

SMART MOVES JOURNAL IJOSCIENCE ◽

10.24113/ijoscience.v4i10.167 ◽

2018 ◽

Vol 4 (10) ◽

pp. 10

Author(s):

Ankur Mishra ◽

Aayushi Priya

Keyword(s):

Intelligent Transportation Systems ◽

Traffic Congestion ◽

Transportation Systems ◽

Environmental Conservation ◽

Integrated System ◽

Transport Systems ◽

Transport Sector ◽

Intelligent Transport System ◽

Intelligent Transport ◽

Transportation Sector

Transportation or transport sector is a legal source to take or carry things from one place to another. With the passage of time, transportation faces many issues like high accidents rate, traffic congestion, traffic & carbon emissions air pollution, etc. In some cases, transportation sector faced alleviating the brutality of crash related injuries in accident. Due to such complexity, researchers integrate virtual technologies with transportation which known as Intelligent Transport System. Intelligent Transport Systems (ITS) provide transport solutions by utilizing state-of-the-art information and telecommunications technologies. It is an integrated system of people, roads and vehicles, designed to significantly contribute to improve road safety, efficiency and comfort, as well as environmental conservation through realization of smoother traffic by relieving traffic congestion. This paper aims to elucidate various aspects of ITS - it's need, the various user applications, technologies utilized and concludes by emphasizing the case study of IBM ITS.

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LPWAN-based hybrid backhaul communication for intelligent transportation systems: architecture and performance evaluation

EURASIP Journal on Wireless Communications and Networking ◽

10.1186/s13638-021-01918-2 ◽

2021 ◽

Vol 2021 (1) ◽

Author(s):

Taghi Shahgholi ◽

Amir Sheikhahmadi ◽

Keyhan Khamforoosh ◽

Sadoon Azizi

Keyword(s):

Low Power ◽

Intelligent Transportation Systems ◽

Intelligent Transportation System ◽

Road Traffic ◽

Intelligent Transportation ◽

Traffic Monitoring ◽

Transportation Systems ◽

Area Network ◽

Emergency Vehicle ◽

Wide Area Network

AbstractIncreased number of the vehicles on the streets around the world has led to several problems including traffic congestion, emissions, and huge fuel consumption in many regions. With advances in wireless and traffic technologies, the Intelligent Transportation System (ITS) has been introduced as a viable solution for solving these problems by implementing more efficient use of the current infrastructures. In this paper, the possibility of using cellular-based Low-Power Wide-Area Network (LPWAN) communications, LTE-M and NB-IoT, for ITS applications has been investigated. LTE-M and NB-IoT are designed to provide long range, low power and low cost communication infrastructures and can be a promising option which has the potential to be employed immediately in real systems. In this paper, we have proposed an architecture to employ the LPWAN as a backhaul infrastructure for ITS and to understand the feasibility of the proposed model, two applications with low and high delay requirements have been examined: road traffic monitoring and emergency vehicle management. Then, the performance of using LTE-M and NB-IoT for providing backhaul communication infrastructure has been evaluated in a realistic simulation environment and compared for these two scenarios in terms of end-to-end latency per user. Simulation of Urban MObility has been used for realistic traffic generation and a Python-based program has been developed for evaluation of the communication system. The simulation results demonstrate the feasibility of using LPWAN for ITS backhaul infrastructure mostly in favor of the LTE-M over NB-IoT.

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Fog-based Intelligent Transportation System for Traffic Light Optimization

Proceedings of the Pakistan Academy of Sciences: A. Physical and Computational Sciences ◽

10.53560/ppasa(58-sp1)730 ◽

2021 ◽

Vol 58 (S) ◽

pp. 29-35

Author(s):

Muhammad Rusyadi Ramli ◽

Riesa Krisna Astuti Sakir ◽

Dong-Seong Kim

Keyword(s):

Intelligent Transportation Systems ◽

Traffic Accidents ◽

Intelligent Transportation System ◽

Optimization Problems ◽

Intelligent Transportation ◽

Transportation Systems ◽

Traffic Light ◽

Traffic Condition ◽

Dilemma Zone ◽

Traffic Lights

This paper presents fog-based intelligent transportation systems (ITS) architecture for traffic light optimization. Specifically, each intersection consists of traffic lights equipped with a fog node. The roadside unit (RSU) node is deployed to monitor the traffic condition and transmit it to the fog node. The traffic light center (TLC) is used to collect the traffic condition from the fog nodes of all intersections. In this work, two traffic light optimization problems are addressed where each problem will be processed either on fog node or TLC according to their requirements. First, the high latency for the vehicle to decide the dilemma zone is addressed. In the dilemma zone, the vehicle may hesitate whether to accelerate or decelerate that can lead to traffic accidents if the decision is not taken quickly. This first problem is processed on the fog node since it requires a real-time process to accomplish. Second, the proposed architecture aims each intersection aware of its adjacent traffic condition. Thus, the TLC is used to estimate the total incoming number of vehicles based on the gathered information from all fog nodes of each intersection. The results show that the proposed fog-based ITS architecture has better performance in terms of network latency compared to the existing solution in which relies only on TLC.

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The convergence of Internet of Things, Blockchain and Connected Vehicles: Conceptual Advantages and Disadvantages of a new Cooperative Intelligent Transportation System

International Journal of Traffic and Transportation Management ◽

10.5383/jttm.03.01.005 ◽

2021 ◽

Vol 03 (01) ◽

pp. 33-41

Author(s):

Vittorio Astarita ◽

Vincenzo Pasquale Giofrè ◽

Giuseppe Guido ◽

Alessandro Vitale

Keyword(s):

Internet Of Things ◽

Intelligent Transportation Systems ◽

Intelligent Transportation System ◽

Main Idea ◽

Intelligent Transportation ◽

Transportation Systems ◽

Connected Vehicles ◽

City Management ◽

Advantages And Disadvantages ◽

Blockchain Technology

This paper intends to explore the convergence of some technological innovations that could lead to new cooperative Intelligent Transportation Systems (ITS). The technologies that might soon converge and lead to some new developments are: the Blockchain Technology (BT) concept, Internet of Things (IoT) and Connected and Automated Vehicles (CAV). Advantages and disadvantages of the new concepts founding a new ITS system are discussed in this conceptual paper. Blockchain technology has been recently introduced and many research ideas have been presented for application in the transportation sector. In this paper, we discuss a system that is based on a dedicated blockchain, able to involve both drivers and city administrations in the adoption of promising and innovative technologies that will create cooperation among connected vehicles. The proposed blockchain-based system can allow city administrators to reward drivers when they are willing to share travel data. The system manages in a special way the creation of rewards which are assigned to drivers and institutions participating actively in the system. Moreover, the system allows keeping a complete track of all transactions and interactions between drivers and city management on a completely open and shared platform. The main idea is to combine connected vehicles with BT to promote Cooperative ITS use, a better use of infrastructures and a more sustainable eco-system of cryptocurrencies. A short description of BT is introduced to evidence energy problems of sustainability in the implementation of Proof of Work (PoW) that is adopted by many blockchains.

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Potential Applications of Intelligent Transportation Systems to Road Freight Transport in Mexico

Transportation Research Record Journal of the Transportation Research Board ◽

10.3141/1707-10 ◽

2000 ◽

Vol 1707 (1) ◽

pp. 81-85

Author(s):

Alberto Mendoza ◽

Antonio García

Keyword(s):

Intelligent Transportation Systems ◽

Intelligent Transportation ◽

Freight Transport ◽

Transportation Systems ◽

Transport Systems ◽

Environment Friendly ◽

Generic Term ◽

Road Freight ◽

Potential Applications ◽

Made In

In the past few years, tools have been developed based on different communication means with the purpose of achieving a safer, more efficient, and environment-friendly operation of vehicular flows in the transport systems. Some of the early means generally involved a very strong human participation. In the course of time and with the rapid progress made in electronics, telecommunications, and computer systems, such processes have become automated until generating a series of technologies that currently are incorporated into the single generic term of intelligent transportation systems (ITS). This research has multiple purposes. First, some characteristics of road freight transport in Mexico are presented. Then, with such characteristics under consideration, the ITS technologies with the largest potential for application to that transportation type are described. A vision of future implementation is shown. Finally, some conclusions are presented.

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Optimizing Aggregation Level for Intelligent Transportation System Data Based on Wavelet Decomposition

Transportation Research Record Journal of the Transportation Research Board ◽

10.3141/1840-02 ◽

2003 ◽

Vol 1840 (1) ◽

pp. 10-20 ◽

Cited By ~ 12

Author(s):

Fengxiang Qiao ◽

Xin Wang ◽

Lei Yu

Keyword(s):

Intelligent Transportation Systems ◽

Wavelet Decomposition ◽

Intelligent Transportation System ◽

Intelligent Transportation ◽

Transportation Systems ◽

Data Sets ◽

Time Data ◽

Aggregated Data ◽

A New Technique ◽

Aggregation Level

Appropriate aggregation levels and sampling frames of real-time data in intelligent transportation systems (ITSs) are indispensable to transportation planners and engineers. Conventional techniques for the retrieval of aggregation levels are normally based on statistical comparison of the original and the aggregated data sets. However, it is not guaranteed that errors and noise will not be transmitted to the aggregated data sets and that the desired information will be reserved. Wavelet decomposition is a new technique that can be applied to the determination of aggregation level. An optimization process that can provide the optimized aggregation level of ITS data for different applications was developed. To illustrate the proposed technique, ITS data archived by the TransGuide Center in San Antonio, Texas, were used for a case study. Aggregation levels for different days of a week and different time periods over the whole year of 2001 were obtained through the proposed approach.

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Detection of Real-Time Event in Intelligent Traffic System Based on RFID

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.926-930.1314 ◽

2014 ◽

Vol 926-930 ◽

pp. 1314-1317 ◽

Cited By ~ 1

Author(s):

Li Yang

Keyword(s):

Real Time ◽

Event Detection ◽

Intelligent Transportation Systems ◽

Intelligent Transportation System ◽

Intelligent Transportation ◽

Transportation Systems ◽

Engine Model ◽

Intelligent Traffic System ◽

Complex Events ◽

Rules Engine

To solve the demand of real-time event detection in the RFID-based Intelligent Transportation Systems , using Complex Event Processing technology to establish a rule model to detect events.The model allows users to customize the Basic Events and Complex Events, using the rule files describe the complex events modes, clearly expressed the timing and gradation relationships between RFID events, meeting the needs of real-time event detection in the Intelligent Transportation System ,achieving the appropriate rules engine,. Finally, test and verify the effectiveness of the rules file and the rules engine model by experiments.

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Study on Path Optimization Method of Traffic Guidance System under the Condition of the Car Networking

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.624.567 ◽

2014 ◽

Vol 624 ◽

pp. 567-570

Author(s):

Dan Ping Wang ◽

Kun Yuan Hu

Keyword(s):

Real Time ◽

Intelligent Transportation Systems ◽

System Integration ◽

Intelligent Transportation System ◽

Intelligent Transportation ◽

Transportation System ◽

Transportation Systems ◽

Guidance System ◽

Wide Range ◽

Computer Communication Network

Intelligent Transportation System is the primary means of solving the city traffic problem. The information technology, the communication, the electronic control technology and the system integration technology and so on applies effectively in the transportation system by researching rationale model, thus establishes real-time, accurate, the highly effective traffic management system plays the role in the wide range. Traffic flow guidance system is one of cores of Intelligent Transportation Systems. It is based on modern technologies, such as computer, communication network, and so on. Supplying the most superior travel way and the real-time transportation information according to the beginning and ending point of the journey. The journey can promptly understand in the transportation status of road network according to the guidance system, then choosing the best route to reach destination.

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REDUCING THE TIME TO GET EMERGENCY ASSISTANCE FOR ACCIDENT VEHICLES ON THE ROAD THROUGH AN INTELLIGENT TRANSPORTATION SYSTEM

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xlii-4-w18-827-2019 ◽

2019 ◽

Vol XLII-4/W18 ◽

pp. 827-832

Author(s):

A. H. Nourbakhsh ◽

M. R. Delavar ◽

M. Jadidi ◽

B. Moshiri

Keyword(s):

Intelligent Transportation Systems ◽

Intelligent Transportation System ◽

Intelligent System ◽

Intelligent Transportation ◽

Transportation Systems ◽

Dijkstra Algorithm ◽

Notification System ◽

Smart Transportation ◽

The Road ◽

On The Road

Abstract. Intelligent Transportation Systems (ITS) is one of the main components of a smart city. ITS have several purposes including the increase of the safety and comfort of the passengers and the reduction of the road accidents. ITS can enhance safety in three modes before, within and after the collision by preventing accident via assistive system, sensing the collision situation and calculating the time of the collision and providing the emergency response in a timely manner. The main objective of this paper is related to the smart transportation services which can be provided at the time of the collision and after the accident. After the accident, it takes several minutes to hours for the person to contact the emergency department. If an accident takes place for a vehicle in a remote area, this time increases and that may cause the loss of life. In addition, determination of the exact location of the accident is difficult by the emergency centres. That leads to the possibility of erroneous responder act in dispatching the rescue team from the nearest hospital. A new assistive intelligent system is designed in this regard that includes both software and hardware units. Hardware unit is used as an On-Board Unit (OBU), which consists of GPS, GPRS and gyroscope modules. Once OBU detects the accident, a notification system designed and connected to OBU will sent an alarm to the server. The distance to the nearest emergency center is calculated using Dijkstra algorithm. Then the server sends a request for assistance to the nearest emergency centre. The proposed system is developed and tested at local laboratory conditions. The results show that this system can reduce Ambulance Arrival Time (AAT). The preliminary results and architecture of the system have been presented. The inclination angle determined by the proposed system along with the car position identified by the installed GPS sensor assists the crash/accident warning part of the system to send a help request to the nearest road emergency centre. These results verified that the probability of having a remote and smart car crash/accident decision support system using the proposed system has been improved compared to that of the existing systems.

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