Smart Transportation System for Solving Urban Traffic Congestion

This study presents applications of artificial intelligence for development of sustainable transport systems in smart cities in India. There is huge gap between the demand and supply of the public transport in most of the urban cities in India. Due to rapid urbanization India has realize the importance of developing smart cities to improve the quality of life of people and to captivate foreign investment to build superior quality of infrastructure in India. The majority of the Indian cities are facing the problem of congestion, safety, inadequate public transport facilities, inappropriate information, inadequate parking spaces and environmental pollution. Sustainable transport system can eliminate these problems by providing safer, faster, comfortable, efficient and environment friendly system and can help in development of smart cities by the implementation of intelligent transport system. Hence, there is urgent need to develop intelligent transport system in Indian Cities which can play a key role in development of sustainable transport system. Therefore, the main requirement is to adopt artificial intelligence for development of smart cities in India. The main objective of this article is to present the major application of intelligent transport system for the development of sustainable transport system in smart cities. This study can be used in the implementation of intelligent transport system for development of sustainable transport system in smart cities in India.

Interest in the intelligent transportation system comes from problems caused by traffic congestion and a synergy of new information technology for simulation real time and communications networks. Traffic congestion has been increasing worldwide as a result or increased motorization, urbanization, population growth and changes in population density. Congestion reduces efficiency or transportation infrastructure and increases travel time, air pollution and fuel consumption. Now a day's development of roads has created a new havoc which lead to the increase in the accident cases all across the world, in order to overcome from such a problem, Intelligent Transport System holds a good point. Intelligent Transport System is designed for the urban/state/private road transport organization. The system consists of a backend and a hardware component to provide an integrated solution for the driver console unit, electronic ticking machine passenger information system amid vehicle tracking system. Intelligent Transport System provides a single solution for transport companies to schedule and monitor buses with the help of advance technologies such as GPS, Wi-Fi and GPRS. Intelligent Transport System facilitates better public transport services by considering the bus earning, public safety and security. This paper basically discusses the impact and the various application fields or Intelligent Transport System for road transportation. Also, this paper put forward the implementation or various transportation technologies that will be vital for homeland security, vehicular surveillance along with technologies that can make our ride more safe and economical.

Journal of emerging technologies and innovative research, 2018

The inferior transportation system of any country directly affects its socioeconomic development, human health and environment. In this regard, Intelligent Transportation System (ITS) has been developed in order to deal with these growing problems of traffic congestion. ITS is a promising technology which makes the road transportation system intelligent with the use of computing, electronics and communication technologies. Therefore, the success of ITS in managing the traffic flows depends on the communication technologies and algorithms used. This review provides the insight of various types of communication technologies and algorithms used in ITS and an assessment of their effectiveness. The paper highlights the conclusions extracted from studies of different communication technologies and algorithms and besides suggests the future directions considering the challenges of presently used systems.

Future Internet

For large and medium-sized cities, the planning and development of urban road networks may not keep pace with the growth of urban vehicles, resulting in traffic congestion on urban roads during peak hours. Take Jinan, a mid-sized city in China’s Shandong Province, for example. In view of the daily traffic jam of the city’s road traffic, through investigation and analysis, the existing problems of the road traffic are found out. Based on real-time, daily road traffic data, combined with the existing road network and the planned road network, the application of a road intelligent transportation system is proposed. Combined with the application of a road intelligent transportation system, this paper discusses the future development of urban road traffic and puts forward improvement suggestions for road traffic planning. This paper has reference value for city development, road network construction, the application of intelligent transportation systems, and road traffic planning.

Mohammad Alkiswani, 2022

This thesis intends to solve difficulties such as low demand and poor service levels in Amman's public transportation system, all of which have resulted in an increase in the number of private vehicles and the emergence of several urban issues such as traffic congestion, pollution, and poor development. This study recommended that several intelligent transportation systems be made available to Amman's public transit modes, which will increase the level of service and demand for these modes, resulting in a positive effect in terms of reducing the number of private vehicles in the city. Data were collected from relevant authorities to determine the impact of intelligent transportation systems, and several simulation scenarios were built to determine the impact of these systems on intersections and public transit routes in terms of delay and level of service. Several types of intelligent systems were simulated, including traffic signals within the study area being equipped with an intelligent system that gives priority when crossing to public transit vehicles, public transit stations being equipped with an intelligent payment system with electronic gates to reduce passengers dwell time, and added an intelligent signal system that optimizes traffic flow by optimizing the signals in all of the study area's intersections. According to traffic simulation scenarios using the Vissim and Synchro software and analytical equations, when intelligent transportation systems are implemented in public transportation modes, demand for these vehicles will steadily increase as the level of service for these vehicles improves, and it was figured that with improvements in travel time reaching 77 seconds, 1.5 percent of trips will be shifted to public transportation, and through the implementation of intelligent transportation systems, demand for these vehicles will steadily increase as the level of service for these vehicles improves, and through the implementation of intelligent transportation systems, In general, it will increase demand for public transportation vehicles

2020

India has seen a rapid rise in its vehicular traffic density over the last few years. Apart from this it has also seen a drastic increase in traffic. Considering the present traffic signals and their management systems, timing of traffic signals are preset and depending upon the area and its average vehicular traffic density, some modifications are done in timings to avoid traffic jams at those signals. This paper focuses on curbing traffic violations as well as designing a system which is efficient at managing vehicular traffic in real-time. The system is implemented using a single controller which helps to remove out the hardware complexities and present an efficient system for practical implementation. RFID technology is used for traffic density measurement and to curb traffic violators from jumping red light, barriers are employed at these signals which will also help to ensure that vehicles are behind zebra Crossings and allow smooth movement for pedestrians while crossing road...

SSRN Electronic Journal

In the urban environment, traffic congestion has become a significant concern. Congestion negatively influences the economy, the environment, and the quality of life in general. Unfortunately, traditional traffic control systems fail to control traffic discipline due to inadequate human resource management and limited extension of current infrastructure, resulting in increased traffic congestion and road infractions. This paper aims to create an intelligent system dashboard to make judgments on its own, detect congested areas and actual congestion locations, and plan alternative routes. The system should collect all available data from different cities and create forecasts based on the previous year's data. The designing Artificial Intelligence traffic controllers in our proposal can adapt to current data from sensors to perform constant optimizations on the signal timing plan for intersections in a network to minimize traffic congestions by using real-time traffic data, which is the main issue in traffic flow control today. A new technology known as Radio Frequency Identification (RFID) has been introduced, which can be used in conjunction with the existing signalling system to provide real-time smart traffic control. Traffic congestion will be decreased as a result of the use of this innovative technology. In addition, bottlenecks and traffic violations will be spotted early, allowing for early preventative actions to be implemented, saving the motorist time and money. Long-term decision-making is aided by traffic monitoring, mainly when designing transportation plans and budgets. It also helps law enforcement agencies identify the different types of traffic and take appropriate precautions, such as installing security cameras and other control mechanisms.

Intelligenza Artificiale, 2022

Intelligent transport systems have efficiently and effectively proved themselves in settling up the problem of traffic congestion around the world. The multi-agent based transportation system is one of the most important intelligent transport systems, which represents an interaction among the neighbouring vehicles, drivers, roads, infrastructure and vehicles. In this paper, two traffic management models have been created to mitigate congestion and to ensure that emergency vehicles arrive as quickly as possible. A tool-chain SUMO-JADE is employed to create a microscopic simulation symbolizing the interactions of traffic. The simulation model has showed a significant reduction of at least 50% in the average time delay and thus a real improvement in the entire journey time.

Proceedings of 10th International Conference on Application of Advanced Technologies in Transportation (AATT), Paper no. 291, May 28-30, Athens, Greece, 2008, 2008

The Intelligent transport systems (ITS) encompass a broad range of wireless and wire line communications-based information, control and electronics technologies which help monitor and manage traffic flow, reduce congestion, provide alternate routes to travelers, enhance productivity, and save lives, time, environment and money. The developed countries are enjoying its intense benefits in their transportation systems. But in the developing countries like Bangladesh, its implementation involves a number of major restraints and considerations. In this study, an attempt has been made to carry out an in depth analysis on the prospective, affordable and applicable fields of ITS technologies for traffic management of Dhaka city, the capital of Bangladesh, which is being suffering from chronic congestion and other resulting transportation problems. In order to achieve this, user perception studies have been conducted and also elaborate study have been made on how locally available resources and technologies can be brought into its implementation. The prospective fields which have been identified include Advanced Traveler Information Services (ATIS), Automatic Vehicle Location System (AVLS), use of electronic media in transportation, and other quasi-transport facilities. Several case studies and performance evaluation have been undertaken on these fields. This paper presents the results and discussions of the research work along with ITS implementation requirements in local road-traffic conditions.

Nagpur now become a Smart City and some of the projects like Metro, Road Development (Cement Road), Flyover due to this kind of projects Nagpur Traffic is very badly affected. And the local person has to suffer from long jam in the traffic. At this situation Emergency Vehicles also suffered from long jam. A smart city is one among that uses a Keen system characterized by the activity between behaviors, capital, cultures and infrastructure, achieved through their integration. Nagpur has Second Position In Smart City Program in Current Year. Smart city Mission is objective to line examples which will be replicated each inside and out of doors the smart city rushing up the creation of comparable smart city in numerous regions and elements of the country. These Emergency vehicles have to reach hospital or emergency place as quick as possible. Within the survey of the smart city construct by rendering recent IEEE papers during this domain, we tend to found heterogeneous construct of the good city; some papers mentioned it as a generic case study, whereas others deals with specific elements. This paper may be a survey of variety of articles, that is bifurcate into 2 subsection:1-General case study, that covers the subject of smart city in an exceedingly general framework, and 2-Specific case study, that covers the subject of the smart city from a selected elaborated application, like Traffic Management System, Smart street-Light Technology.