Journal of Transportation Technologies 

About: Journal of Transportation Technologies is an academic journal published by Scientific Research Publishing. The journal publishes majorly in the area(s): Poison control & Transport engineering. It has an ISSN identifier of 2160-0473. It is also open access. Over the lifetime, 340 publications have been published receiving 2693 citations. The journal is also known as: JTTs.

Mobility as a Service (MaaS): Challenges of Implementation and Policy Required

Abstract: Mobility as a service (MaaS) is a relatively new concept, which holds the promise for a paradigm shift in the provision of urban mobility. The concept of MaaS is to use a single app to access and pay for various transport modes within a city or beyond; and the app will give options to allow a traveller to select the most suitable transport mode. The concept of MaaS is enabled by the current mass uptake of smartphones and social media as well ubiquitous internet connection. By studying current applications of MaaS in Europe and US conditions of operation of MaaS have been summarised. Based on the necessary conditions, a checklist has been developed for potential developers of MaaS to assess if they can implement MaaS in a city. This paper also discusses challenges of implementation of MaaS and their potential impacts on urban mobility and societal changes.

Real-Time Urban Traffic State Estimation with A-GPS Mobile Phones as Probes

Abstract: This paper presents a microscopic traffic simulation-based method for urban traffic state estimation using Assisted Global Positioning System (A-GPS) mobile phones. In this approach, real-time location data are collected by A-GPS mobile phones to track vehicles traveling on urban roads. In addition, tracking data obtained from individual mobile probes are aggregated to provide estimations of average road link speeds along rolling time periods. Moreover, the estimated average speeds are classified to different traffic condition levels, which are prepared for displaying a real-time traffic map on mobile phones. Simulation results demonstrate the effectiveness of the proposed method, which are fundamental for the subsequent development of a system demonstrator.

Video Based Vehicle Detection and Its Application in Intelligent Transportation Systems

Abstract: vVideo based vehicle detection technology is an integral part of Intelligent Transportation System (ITS), due to its non-intrusiveness and comprehensive vehicle behavior data collection capabilities. This paper proposes an efficient video based vehicle detection system based on Harris-Stephen corner detector algorithm. The algorithm was used to develop a standalonevehicle detection and tracking system that determines vehicle counts and speeds at arterial roadways and freeways. The proposed video based vehicle detection system was developed to eliminate the need of complex calibration, robustness to contrasts variations, and better performance with low resolutions videos. The algorithm performance for accuracy in vehicle counts and speed was evaluated. The performance of the proposed system is equivalent or better compared to a commercial vehicle detection system. Using the developed vehicle detection and tracking system an advance warning intelligent transportation system was designed and implemented to alert commuters in advance of speed reductions and congestions at work zones and special events. The effectiveness of the advance warning system was evaluated and the impact discussed.

Peak Car Use and the Rise of Global Rail: Why This Is Happening and What It Means for Large and Small Cities

Abstract: The 21st century promises some dramatic changes—some expected, others surprising. One of the more surprising changes is the dramatic peaking in car use and an associated increase in the world’s urban rail systems. This paper sets out what is happening with the growth of rail, especially in the traditional car dependent cities of the US and Australia, and why this is happening, particularly its relationship to car use declines. It provides new data on the plateau in the speed of urban car transportation that supports rail’s increasing role compared to cars in cities everywhere, as well as other structural, economic and cultural changes that indicate a move away from car dependent urbanism. The paper suggests that the rise of urban rail is a contributing factor in peak car use through the relative reduction in speed of traffic compared to transit, especially rail, as well as the growing value of dense, knowledge-based centers that depend on rail access for their viability and cultural attraction. Finally, the paper suggests what can be done to make rail work better based on some best practice trends in large cities and small car dependent cities.

Implementation and Evaluation of Local Dynamic Map in Safety Driving Systems

Abstract: Cooperative safety driving systems using vehicle-to-vehicle and vehicle-to infrastructure communication are developed. Sensor data of vehicles and infrastructures are communicated in the cooperative safety driving system. LDM (Local Dynamic Map) is standardized by ETSI (European Telecommunications Standards Institute) to manage the vehicle sensor data and the map data. Implementations of LDM are reported on documents of ETSI, but there are no numerical results. The implementations of LDM are deployed the database management system. We think that the response time of the database becomes higher as the number of vehicles grows. In this paper, we have implemented and evaluated the LDM with the collision detection application.