One of the most ubiquitous AI applications is vehicle route planning. While state-of-the-art systems take into account current traffic conditions or historic traffic data, current planning approaches ignore the impact of their own plans on the future traffic conditions. We present a novel algorithm for self-aware route planning that uses the routes it plans for current vehicle traffic to more a...

As availability and reliability of observed traffic data significantly affect the accuracy of traffic state estimation, traffic data from probe vehicle technique, which has a potential of network coverage, might be useful to improve the traffic state estimation. The applications of probe vehicle data are still limited as they mostly concentrated on travel time detection, such as in Chen, while ...

Global positioning system is used to get the vehicle position and can be shared with other nodes in the network. The sparse vehicle traffic leads to network fragmentation, is challenging task for safety application. In case of emergency not all the vehicle get affected in network so broadcasting of alert packet is not feasible rather it has to be multicast, but defining the list of node for mul...

Intelligent Transportation Systems (ITS) are cost-effective measures to manage congestion due to increasing demand by improving the efficiency of existing transportation infrastructure. Traffic detection and surveillance play a pivotal role in deploying these technologies in the field. This dissertation continues the work that has been done in recent years in relation to the use of wireless mag...

in recent years due to improvements of technology within automobile industry, design process of advanced driver assistance systems for collision avoidance and traffic management has been investigated in both academics and industrial levels. detection of traffic signs is an effective method to reach the mentioned aims. in this paper a new intelligent driver assistance system based on traffic sig...

Goel, A., Kumar, P., 2014. A review of fundamental drivers governing the emissions, dispersion and exposure to vehicle-emitted nanoparticles at signalised traffic intersections. Atmospheric Environment 97, 316–331. Online link: http://www.sciencedirect.com/science/article/pii/S1352231014006311 A review of fundamental drivers governing the emissions, dispersion and exposure to vehicle-emitted na...

This paper presents performance measurements of implemented inter-vehicle communication system over various wireless WAN interfaces such as WCDMA, HSDPA and WiBro networks respectively. To show the applicability of inter-vehicle communication, a simplified V2I2V-based vehicle communication system is implemented to evaluate major performance metrics by road test. In addition, results of road tes...

The fundamental goal of this research is to assess the value of intelligent transportation systems to test the hypothesis that the use of vehicleto-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication technologies and protocols can significantly alleviate traffic congestion, and reduce fuel consumption and emissions from mobile sources. Microscopic traffic simulation modeling using t...

This paper introduces three vehicle trajectory-based data forwarding schemes, tailored for vehicular ad hoc networks. Nowadays GPS-based navigation systems are popularly used for providing efficient driving paths for drivers. With the driving paths called vehicle trajectories, we can make data forwarding schemes more efficient, considering the micro-scoped mobility of individual vehicles in roa...

vehicle safety communications protocols security and privacy vehicle safety communications security bme-hit vehicle safety communications protocols security and security and privacy for a connected vehicle environment surveillance, privacy and the ethics of vehicle safety surveillance, privacy and the ethics of vehicle safety personal information and the design of vehicle safety vehicle safety ...