Smart scheduling can be used to reduce infrastructure-to-vehicle energy costs in delay tolerant vehicular networks (Hammad et al., 2010). In this thesis we show that by combining this with vehicle-to-vehicle (V2V) forwarding, energy efficiency can be increased beyond that possible in the single hop case. This is accomplished by having the roadside infrastructure forward packets through vehicles...

Cooperative vehicle safety (CVS) systems are a key application of intelligent transportation systems. In CVS systems, vehicles periodically broadcast their information, e.g., position, speed, and braking status. In this paper, we theoretically analyze the performance of vehicle-to-vehicle (V2V) broadcast communications at an intersection and provide tractable formulae of performance metrics to ...

The significant increment in the number of advanced driver assistance systems (ADAS) in mass-produced cars suggest the idea of autonomous or semi-autonomous vehicles driving in roads in a medium-large term. Consequently, a system to allow the communication among this kind of vehicles and manual driven vehicles will have to be used in order to permit the circulation of both of them at the same t...

This paper proposes a novel cooperative scheme combining distributed space-time block code (STBC) at physical layer, multiple access protocol at medium access control (MAC) layer and opportunistic routing without complicated routing algorithm for achieving high reliability for vehicle-to-vehicle (V2V) communications. The proposed scheme can reduce interference and collision, and achieve reducin...

It is necessary to thoroughly evaluate the effectiveness and safety of Connected Vehicles (CVs) algorithm before their release and deployment. Current evaluation approach mainly relies on simulation platform with the single-vehicle driving model. The main drawback of it is the lack of network realism. To overcome this problem, we extract naturalistic V2V encounters data from the database, and t...

This paper presents an approach to the design of optimal control strategy for plug-in hybrid electric vehicles (PHEVs) incorporating Internet Vehicles (IoVs). The is designed and implemented by employing a mobile edge computing (MEC) based framework IoVs. thresholds in can be instantaneously optimized chaotic particle swarm optimization with sequential quadratic programming (CPSO-SQP) units (ME...

Connected and automated vehicles will enable advanced traffic safety efficiency applications thanks to the dynamic exchange of information between vehicles, infrastructure nodes. can utilize IEEE 802.11p for vehicle-to-vehicle (V2V) vehicle-to-infrastructure (V2I) communications. However, a widespread deployment connected introduction driving notably increase bandwidth scalability requirements ...

The reconfigurable intelligent surfaces (RIS) is a new technology that can be utilized to provide security vehicle-to-vehicle (V2V) communications at the physical layer. In this paper, we achieve higher key generation rate for V2V lower cost and computational complexity. We investigate use of passive RIS as relay, introduce channel diversity increase (KGR), accordingly. regard, consider subsets...

Connected and Autonomous Vehicles (CAVs) require continuous access to sensory data to perform complex high-speed maneuvers and advanced trajectory planning. High priority CAVs are particularly reliant on extended perception horizon facilitated by sensory data exchange between CAVs. Existing technologies such as the Dedicated Short Range Communications (DSRC) are ill-equipped to provide advanced...

Among the most severe crash scenarios are those caused by driver’s decisions to manoeuvre vehicle adjacent lanes. In scenarios, drivers’ intentionally change lanes take over another slower and preserving current speed especially on highway road. The decision may be fatal for drivers of incoming or approaching vehicles which not aware intention fail reduce their avoid lane collision. Hence, this...