827 research outputs found

    Using an Innovative Model to Automate an Efficient Taxi Dispatching System in Mauritius

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    The world is rapidly changing with the introduction of innovative technologies to meet the ever-changing demands of consumers. This research focuses mainly on the study of the actual taxi system in Mauritius to manage their everyday activities in an efficient way to earn a good and a decent earning. With over 6000 drivers in Mauritius, this has caused a major issue in the transportation sector. According to the survey conducted in Shanghai, China, the percentage of empty miles ((total miles-service miles)/total miles) for taxi is 32%, while the waiting time for passenger may extend more than 1 hour in the rush hours at the worst. The taxi employed under this actual system is rarely capable of reaching the customers in the shortest possible time. This is an exigent problem actually confronting current taxi systems. Thus, an alternative Interactive Taxi dispatching system is proposed, whereby the system will be fast and cost effective to transfer the customer’s request from the operator to the most suitable vehicle. This dispatch ensures that customers are served within the shortest time, resulting in satisfying customer’s demands. Since existing taxi system are working manually, there is a need to have automatic taxi trip system which would be easy and efficient. [14] Therefore, the aim of this paper is to research the pertinence of the use of an Interactive Taxi Dispatching System as an alternative mode for taxi drivers to easily be connected with their riders

    Implementation Paper Modern and Smart Logistic Vehicle Using Tracking and Security

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    The logistic organization structure have climbed beginning late with the improvement of global positioning system (GPS), helpful correspondence movements, sensor and remote structures association advancements. The collaborations of the administrators system are fundamental as they can add to a few points of enthusiasm, for example, proposing right places for getting clients, developing pay of truck drivers, reducing holding up time, vehicle downpours and besides compelling fuel utilization and from this time forward broadening the measure of treks the drivers can perform. The rule motivation driving this structure would supply required vehicles that would be utilized to meet client requests through the arranging, control and utilization of the noteworthy headway and cutoff of related data and associations from beginning to objective. Customer brings to the table start to finish security to client and supplier information by utilizing QR code thought. Customer is proposition of closest best specialist relationship as shown by client intrigue and recognize spam master network. Joint efforts association suggests the commitment and association of plan and direct structures to control the improvement and land masterminding of foul materials, work-in-process, and completed inventories at the most unimportant all out expense. Composed endeavours solidifies the relationship of enthusiasm organizing, stock, transportation, and the mix of warehousing, materials managing, and packaging, all joined all through an arrangement of workplaces

    Best practice demand-responsive transport (DRT) policy

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    People living in regional cities and towns around the world expect governments to deliver reasonable levels of public transport services in their local area. They understand that a small population base can limit the frequency and span of public transport, but want and deserve an acceptable minimum level of service that offers travel choices. Low patronage bases in these regional centres mean that many fixed-route bus services are unsustainable and greatly strain the public purse. Queensland public transport administrators and service providers are addressing this trend by considering changing the planning and decisionmaking focus to include demand responsive solutions to address unsustainable public transport scenarios. This paper presents recent demand-responsive transport research and seeks to identify public transport delivery trends and best practice planning and decision-making approaches that could be applied in the Queensland context. The research indicates that this change in policy focus can be consistent with improved public transport service delivery in regional areas and can enhance community prosperity, safety and lifestyle in rural and regional areas

    Delivering Disruption in an Emergent Access Economy: A Case Study of an E-hailing Platform

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    The growing adoption of platforms such as Uber and Airbnb has contributed to the emergence of an access economy, which has disrupted a number of incumbent industries in the process. In this study, we examine goCatch, one of Australia’s largest e-hailing and ride-sharing multi-sided platforms. From our investigations, we find that the technology affordances of multi-sided digital platforms can help to deliver new commercial services and offerings to consumers of the platform, which enables new forms of consumption and, subsequently, disrupts the incumbent industry. Our findings provide the empirical premise for a model that illustrates the role of technology in enabling consumer recognition, consumer engagement, and consumer transposition in the e-hailing context. For theory, we build on extant literature to identify the forms of motivational affordances leveraged in disruptive platforms and technologies. For practice, we conceptualize the function of technology-enabled gamification as an emergent strategy that one can use to induce consumers to change their behaviors, develop their technical skills and drive innovation that plays a central role in enabling digital disruption. This study also clarifies the relationship between technology affordances and value creation against the backdrop of the emergent access economy

    Regulation of the taxi industry

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    The paper contains an analysis of key issues facing State and Territory governments reviewing the regulation of taxis and hire-cars, under the National Competition Policy. It builds on the work contained in the 1994 Industry Commission report on Urban Transport, particularly its assessment of the rationales for entry restrictions and fare regulation, and its analysis of compensation and adjustment issues. The paper is intended to complement other individual reviews by providing policy makers in different jurisdictions with a common framework for assessing key issues in taxi regulation.regulation; taxi industry; taxis; hire-cars; transport; national competition policy; fare regulation; fares; licence plates; rank and hail taxi markets; compensation; adjustment assistance

    Mobile application for efficient taxi allocation at airports

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    Thesis: S.M. in Transportation, Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2013.Cataloged from PDF version of thesis.Includes bibliographical references (pages 52-54).The important role that taxis play in bringing passengers from an airport terminal to their final destination is often overlooked in airport operations and design. Due to varying flight arrival patterns at different terminals, taxi drivers are often unsure which terminal they should queue at. In this thesis, we present ChangiNOW, a mobile app that uses a predictive queueing model to efficiently allocate taxis. The ChangiNOW system uses observed taxi and flight data at each of the four terminals of Singapores Changi Airport to estimate the expected waiting time and queue length for taxis arriving at these terminals, and then sends taxis to terminals where waiting time is shortest. The app communicates this information to taxi drivers in a visually intuitive and appealing way, motivating them to service those terminals with the highest taxi demand. We present the theoretical details that underpin our prediction engine and validate our theory with several targeted numerical simulations. Finally, we evaluate the performance of this system in large-scale experiments and show that our system achieves a significant improvement in both passenger and taxi waiting time.by Afian Anwar.S.M. in Transportatio
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