SCENARIO MODEL TO REDUCE TRAFFIC CONGESTION USING INTELLIGENT TRANSPORTATION SYSTEMS

The rapid growth and development of motorisation combined with relatively small investments made to improving transportation infrastructure in cities, as well as in tourism destinations, has led to serious problems in the unobstructed movement of vehicles in public traffic areas. Traffic congestion on roadways, in ferryboat ports and at state borders during the summer months and year-round lines of cars going to or returning from work are a regular presence in traffic in most urban and tourism destinations in Croatia, as well as in the rest of Europe. Intelligent transportation systems (ITS) can be implemented in urban and tourism centres, which, for example, have no opportunity for increasing the capacity of their traffic networks by constructing new, or expanding existing, transportation infrastructure, and no opportunity for increasing parking capacities. The only solution would be to optimise traffic networking by introducing intelligent technologies. Intelligent transportation systems and services represent a coupling of information and telecommunication technologies with transportation means and infrastructure to ensure greater efficiency in the mobility of people and goods. ITS implementation helps to provide better information to motorists and travellers (tourists); improve traffic and tourist flows, cargo transportation, public passenger-transportation; facilitate the work of emergency services; enable electronic traffic-related payments; enhance the security of people in road traffic; and monitor weather conditions and the environment. To motorists the system provides guidance to roads on which traffic is less intense, guidance to available parking spaces, and guidance, for example, to a good restaurant or interesting tourist attraction. his paper focuses, in particular, on ITS application in city and tourism destinations in connection with parking problems. Guiding vehicles to the closest vacant parking space helps to reduce traffic congestion, reduce the amount of time lost in searching and increase the occupancy rate of car-parks

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Analysis of the Influence of Traffic Information Messages on Route Selection

Proceedings of the Human Factors and Ergonomics Society Annual Meeting ◽

10.1177/154193129503901704 ◽

1995 ◽

Vol 39 (17) ◽

pp. 1082-1086

Author(s):

W. Bradley Fain

Keyword(s):

Situation Awareness ◽

Intelligent Transportation Systems ◽

Traffic Congestion ◽

Intelligent Transportation ◽

Transportation Systems ◽

Traffic Information ◽

Route Selection ◽

Variable Message Signs ◽

Message Format ◽

Message Signs

Intelligent Transportation Systems (ITS) can reduce traffic congestion by displaying congestion-related delay information on roadside variable message signs or in-vehicle displays. Message format and content may have a significant impact on the percentage of drivers who decide to make a route diversion. In this study, the effect of various traffic information message types on driver routing decisions was evaluated. Results suggest that messages including both an advisory and a descriptive component promote situation awareness and rapid decision making, both of which are critical for this application.

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A performance evaluation of an efficient traffic congestion detection protocol (ECODE) for intelligent transportation systems

Ad Hoc Networks ◽

10.1016/j.adhoc.2014.09.005 ◽

2015 ◽

Vol 24 ◽

pp. 317-336 ◽

Cited By ~ 39

Author(s):

Maram Bani Younes ◽

Azzedine Boukerche

Keyword(s):

Performance Evaluation ◽

Intelligent Transportation Systems ◽

Traffic Congestion ◽

Intelligent Transportation ◽

Transportation Systems ◽

Congestion Detection ◽

A Performance

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Transportation Electrification and Managing Traffic Congestion: The role of intelligent transportation systems

IEEE Electrification Magazine ◽

10.1109/mele.2019.2925730 ◽

2019 ◽

Vol 7 (3) ◽

pp. 16-22

Author(s):

Michelle Boucher

Keyword(s):

Intelligent Transportation Systems ◽

Traffic Congestion ◽

Intelligent Transportation ◽

Transportation Systems ◽

Transportation Electrification

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Building the Traffic Flow Network with Taxi GPS Trajectories and Its Application to Identify Urban Congestion Areas for Traffic Planning

Sustainability ◽

10.3390/su13010266 ◽

2020 ◽

Vol 13 (1) ◽

pp. 266

Author(s):

Jiayu Qin ◽

Gang Mei ◽

Lei Xiao

Keyword(s):

Traffic Flow ◽

Intelligent Transportation Systems ◽

Traffic Congestion ◽

Intelligent Transportation ◽

Transportation Systems ◽

Urban Traffic ◽

Traffic Planning ◽

Flow Network ◽

Gps Trajectories ◽

Congestion Problems

Traffic congestion is becoming a critical problem in urban traffic planning. Intelligent transportation systems can help expand the capacity of urban roads to alleviate traffic congestion. As a key concept in intelligent transportation systems, urban traffic networks, especially dynamic traffic networks, can serve as potential solutions for traffic congestion, based on the complex network theory. In this paper, we build a traffic flow network model to investigate traffic congestion problems through taxi GPS trajectories. Moreover, to verify the effectiveness of the traffic flow network, an actual case of identifying the congestion areas is considered. The results indicate that the traffic flow network is reliable. Finally, several key problems related to traffic flow networks are discussed. The proposed traffic flow network can provide a methodological reference for traffic planning, especially to solve traffic congestion problems.

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Collaborative and Infrastructure-less Vehicular Traffic Rerouting for Intelligent Transportation Systems

10.5753/sbrc_estendido.2020.12419 ◽

2020 ◽

Author(s):

Ademar Takeo Akabane ◽

Edmundo Roberto Mauro Madeira ◽

Leandro Aparecido Villas

Keyword(s):

Intelligent Transportation Systems ◽

Traffic Congestion ◽

Traffic Management ◽

Management System ◽

Cost Effective ◽

Intelligent Transportation ◽

Good Alternative ◽

Transportation Systems ◽

Vehicular Traffic ◽

Traffic Management System

This extended abstract provides an at-a-glance view of the main contributions of my Ph.D. work. The work aims to investigate and develop cutting-edge an infrastructure-less vehicular traffic management system in order to minimize vehicular traffic congestion and advance the state-of-the-art in intelligent transportation systems. The proposed solutions were widely compared with other literature solutions on different performance evaluation metrics. The evaluation results show that the proposed vehicle traffic management system is efficient, scalable, and cost-effective, which may be a good alternative to mitigate urban mobility problems.

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Introduction to ITS and NTCIP

Telematics Communication Technologies and Vehicular Networks ◽

10.4018/978-1-60566-840-6.ch003 ◽

2010 ◽

pp. 32-57

Author(s):

Da-Jie Lin ◽

Chyi-Ren Dow

Keyword(s):

Intelligent Transportation Systems ◽

Traffic Congestion ◽

Intelligent Transportation ◽

Transportation Systems ◽

Mathematical Methods ◽

The Social ◽

Surface Transportation ◽

Social And Economic Development ◽

Data Definition ◽

Multiple Devices

Intelligent Transportation Systems (ITS) combines high technology and improvements in information systems, communication, sensors, and relevant mathematical methods with the conventional world of surface transportation infrastructure to increase the capacity of transportation systems and to improve the level of services. There are four major goals of ITS, including safety, environmental protection, efficiency, and economy. NTCIP (NTCIP Standard 9001, 2002; DISA et al., 1997) is a set of communications protocols and data definition standards designed for various needs of ITS services and applications. The key goals of the NTCIP open-standards effort are interoperability and interchangeability. Interoperability refers to the ability for multiple devices to work together as a single system and interchangeability refers to the ability to use multiple brands of a device on the same communications channel. Accompanying the social and economic development, traffic congestion and delay have become major issues in most areas around the world. How to use readily available technologies to increase the capacity of transportation systems and to improve the level of service has become one of major solutions to solve transportation problems that people are facing. This is the motivation of Intelligent Transportation Systems development. NTCIP is a set of communications protocols and data definition standards designed for various needs of ITS services and applications. These standards are intended to handle these needs in the two areas: Center-to-Field (C2F) and Center-to-Center (C2C) communications.

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