Intelligent Transportation System (ITS)

The research efforts focused on enhancing transportation systems have revealed numerous possibilities for improvement. However, there are still unexplored avenues in terms of implementing software or automation within the transportation system. Automation in transportation could refer a feasible solution to reduce accident and save human lives. Consequently, ensuring safer journey for passengers remains a primary objective for transportation companies. Findings revealed that population of Nigerian is figured to be at about 225.604 million and GDP of $493.50 billion in present years. The country is blessed with a lot of mineral resources and also being one among the six largest producer of oil. Nigeria is also refer to as biggest in Africa with evidence of Oil and Gas reserves worth 37.12 billion barrels and 207.0 Trillion cubic feet. It also seated on over 922 square kilometers in land size and large deposit of hidden mineral resources. However, it is alarming and disturbing why my country is lacking modern transportation system technology, which can boost our economy and bring relief to our people. The city of Abuja and other states cannot fulfill its essence without making provision of new system solution for transportation. Influence of technology on transportation management, the system encompass a productive group of automation with potential to enhance the management of transportation systems, public transit and various aspect of travel decisions. This technology include cutting-edge technology receivers and automated solutions, all designed to boost the welfare in Transportation System. While decision using less energy is not the central focus of ITS. Project Title Progress in Intelligent Transportation Systems: Investigation of ITS Keywords: Intelligent Transportation System (ITS), communal details, transportation, Swift bus fleet, environmentally conscious driving, efficient routing for fuel economy, digital toll gathering, human aspects, managing incidents, services with shared vehicles, shared transport, management of traffic and transit, interconnected vehicles, self-driving vehicles SUMMARY (maximum 100 words): Intelligent Transportation System (ITS) Encompass an assortment of new innovation intended to enrich the management of transportation systems, public transit, and individual travel decisions. These technologies, encompassing state-of-the-art wireless, electronic, and mechanized solutions, strive to enhance safety, efficiency, and convenience in terrestrial transportation. While energy preservation isn't the principal focus of ITS, certain circumstances showcase its energy-related advantages. This article delivers a comprehensive outline of crucial energy-related benefits associated with varied ITS technologies, drawing from models, preliminary programs/field trials, and comprehensive deployments

Cyclist-aware intelligent transportation system

Abstract. Rapidly developing cities make cycling popular way of traveling around and with enhanced smart traffic light infrastructure cycling can be safer and smoother. Smartphones with an internet connectivity and advanced positioning sensors can be used to build a cost-effective infrastructure to enable cyclist-aware traffic lights system. However, such systems depends on proper time of arrival estimation which can be affected by the GPS errors which works poorly in area with tall buildings and driver behaviour. In this paper we discuss how presence of feedback from smart traffic system influence the driver awareness of the cyclist and affects the negative impact of time of arrival estimation errors. This paper gives an analysis of the existing approaches to build smart cyclist-aware traffic systems and different sources of errors that affects their performance. With designed computer appliance we evaluated the effectiveness of cyclist-aware system with and without a presence of additional haptic and audio feedback. The results show that the presence of feedback positively affects the driver awareness of cyclist and allow them to react earlier. Experiment shows that just introduction of feedback can increase the accuracy of time of arrival estimation up to 34% without any other modification to the system.Pyöräilijät tiedostava älykäs liikennejärjestelmä. Tiivistelmä. Pyöräily on suosittu tapa liikkua nopeasti kasvavissa kaupungeissa. Parannetuilla älyliikennevaloilla pyöräilystä voisi tulla turvallisempaa ja sujuvampaa. Huokean infrastruktuurin rakentamisessa pyöräilijät tiedostavaan liikennevalojärjestelmään voidaan hyödyntää älypuhelinten verkkoyhteyttä sekä pitkälle kehitettynyttä paikannusmahdollisuutta. Paikannuksen haasteena kuitenkin ovat epätarkkuus korkeiden rakennusten katveessa sekä pyöräilijöiden ja autoilijoiden käyttäytyminen. Kyseisen kaltainen järjestelmä vaatii toimivan kulunaika-arvioinnin, mikä on haastavaa GPS-paikannuksen epätarkkuuden vuoksi. Tässä julkaisussa keskustelemme siitä, kuinka älykkäästä liikennejärjestelmästä saatu palaute vaikuttaa autoilijoiden tiedostavuuteen ja sitä kautta saapumisaika-arvioiden epätarkkuuteen. Analysoimme olemassa olevia älykkäitä pyöräiljät tiedostavia liikennejärjestelmiä ja niihin vaikuttavia epätarkkuus- sekä virhelähteitä. Käytämme kehittämäämme tietokone ohjelmaa arvioimaan pyöräilijät tiedostavan järjestelmän tehokkuutta käyttäen koemuuttujina haptista ja auditiivista palautetta. Tulokset paljastavat, että saatu palaute vaikuttaa positiivisesti parantaen autoilijoiden reaktioaikaa sekä sitä kuinka he tiedostavat pyöräiljät. Kokeet osoittavat, että pelkästään esittelyn ja palautteen olemassaolo lisäävät saapumisaika-arvioiden tarkkuutta jopa 34%

Realistic cost estimation of an intelligent transportation system roll-out

What are the likely costs and implications of rolling out an Intelligent Transportation System (ITS)? Here, a team from Ghent University present a cost model which uses a set of possible technologies and applications which can be further tailored. A joint roll-out - instead of separate applications is investigated, alongside the reuse of existing infrastructure and identification of the most crucial parts of the system in terms of costs. The case of the Belgian highways is used as a practical example

Integrating Smartdust into Intelligent Transportation System

The last few years have seen the emergence of many new technologies that can potentially have major impacts on Intelligent Transportation Systems (ITS). One of these technologies is a micro-electromechanical device called smartdust. A smartdust device (or a mote) is typically composed of a processing unit, some memory, and a radio chip, which allows it to communicate wirelessly with other motes within range. These motes can also be augmented with additional sensors – such as those for detecting light, temperature and acceleration – hence enhancing their features and making their application areas virtually limitless. As the smartdust concept is still relatively new, and very little is known about its application in transport domain, conducting research in this area may prove to be very valuable. It is generally perceived that smartdust will become the low-cost, ubiquitous sensor of the future, especially once its size shrinks dramatically to merit its name. Our involvement in several transport-related EU and UK funded projects (ASTRA, 2005; ASK-IT, 2007; EMMA, 2007; Foot-LITE, 2007; MESSAGE, 2007; TRACKSS, 2007) provides us with an opportunity to carry out experiments and to develop demonstrations of smartdust applications in transport systems. We also have a chance to investigate how smartdust can be used in collaboration with other (more traditional) transport sensors for developing better Co-operative Transport Systems (CTS). This paper outlines our experience in these projects and provides an illustration on the important role that the smartdust technology can play in future ITS. We also present encouraging results obtained from our experiments in investigating the feasibility of utilising smartdust in real ITS applications

UM Alumnus Discusses Intelligent Transportation System

MDOT engineer Acey Roberts emerges as leader with innovative safety technolog

Dynamic Modeling for Intelligent Transportation System Applications

Special Issue on Dynamic Modeling for Intelligent Transportation System Applicationspostprin