CarTALK 2000: safe and comfortable driving based upon inter-vehicle-communication

Reichardt, Dirk; Miglietta, M.; Moretti, Luca; Morsink, Peter; Schulz, Waldemar

doi:10.1109/ivs.2002.1188007

Cited by 185 publications

(122 citation statements)

References 2 publications

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“…Let d(l 3 ) be the distance of l 3 lying on Z measured from the road boundary. Let s 1 and s 2 be the points in Z which have the least and the highest value of d(.)…”

Section: State Selectionmentioning

confidence: 99%

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Dynamic distributed lanes: motion planning for multiple autonomous vehicles

Kala

Warwick

2014

Appl Intell

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Unorganized traffic is a generalized form of travel wherein vehicles do not adhere to any predefined lanes and can travel in-between lanes. Such travel is visible in a number of countries e.g. India, wherein it enables a higher traffic bandwidth, more overtaking and more efficient travel. These advantages are visible when the vehicles vary considerably in size and speed, in the absence of which the predefined lanes are near-optimal. Motion planning for multiple autonomous vehicles in unorganized traffic deals with deciding on the manner in which every vehicle travels, ensuring no collision either with each other or with static obstacles. In this paper the notion of predefined lanes is generalized to model unorganized travel for the purpose of planning vehicles travel. A uniform cost search is used for finding the optimal motion strategy of a vehicle, amidst the known travel plans of the other vehicles. The aim is to maximize the separation between the vehicles and static obstacles. The search is responsible for defining an optimal lane distribution among vehicles in the planning scenario. Clothoid curves are used for maintaining a lane or changing lanes. Experiments are performed by simulation over a set of challenging scenarios with a complex grid of obstacles. Additionally behaviours of overtaking, waiting for a vehicle to cross and following another vehicle are exhibited.

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“…Let d(l 3 ) be the distance of l 3 lying on Z measured from the road boundary. Let s 1 and s 2 be the points in Z which have the least and the highest value of d(.)…”

Section: State Selectionmentioning

confidence: 99%

“…Autonomous vehicles, connected via an inter-vehicle communication framework [2][3], may 'talk' and inform each other about the road scenario. They may further communicate with the road infrastructure [4], a processing unit fixed with the roads.…”

Section: Introductionmentioning

confidence: 99%

Dynamic distributed lanes: motion planning for multiple autonomous vehicles

Kala

Warwick

2014

Appl Intell

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“…Some geographical routing protocols utilize the query message which is included the position of the destination. Furthermore, CarTalk2000 [33] project proposed a location service based on different scopes where a vehicle broadcasts its location information to a limited number of hops. The updater frequency is inversely proportional with the distance, i.e., the further the distance between the source and other vehicles, the lower the frequency of updating.…”

Section: Geographical Routing Protocolsmentioning

confidence: 99%

Routing Protocols in Vehicular Ad hoc Networks: Survey and Research Challenges

Ghafoor¹,

Mohammed

Lloret

et al. 2013

NPA

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A Vehicular Ad hoc Network (VANET) is a type of wireless ad hoc network that facilitates ubiquitous connectivity between vehicles in the absence of fixed infrastructure. Multi-hop routing and beaconing approaches are two important research challenges in high mobility vehicular networks. Routing protocols are divided into two categories of topology-based and position-based routing protocols. In this article, we perform a comparative study among the existing routing solutions, which explores the main advantages and drawbacks behind their design. After implementing the representatives of geographical and topology routing protocols, we analyze the simulation results and discuss the strengths and weaknesses of these routing protocols in regard to their suitability to vehicular networks. Lastly, we discuss the open issues and research directions related to VANET routing protocols.

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“…When a suitable neighbor is found, the node forwards it, e.g. Spatial Aware Routing (SAR) [3]. Another technique is using a planned trajectory of vehicle.…”

Section: Routing In Vanet Fig 1: Elements Of Vanet Routingmentioning

confidence: 99%

Enhancing Routing Strategy to Optimize Architecture of Vehicle to Infrastructure Communication

Shah¹

2012

IJCA

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The road side infrastructure plays a vital role for any Vehicular Ad-hoc Network for implementing a rich set of applications like traffic monitoring and management, road disaster mitigation etc. This is the reason that efficient communication between the vehicles and the road side infrastructure is required. The application under consideration is providing a zero traffic lane (Z-Lane) for an ambulance. The scenarios are implemented with the help of Simulation of Urban Mobility (SUMO) which is a road traffic simulator based on Krauss Mobility Model. For the normal working of the said application, road side infrastructure broadcasts alert messages informing the vehicle drivers to vacant the lane. The problem addressed in this research work is the scenario where no infrastructure is present in the range of ambulance. In this case, the trigger from the ambulance must reach the nearest infrastructure as early as possible. For this purpose vehicle to vehicle communication is used. After analyzing various routing algorithms Ad-hoc On Demand Distance Vector (AODV) routing algorithm is chosen for the said communication. The AODV protocol has significant amount of end to end delay. The research work aims to modify AODV to reduce the Route REQuest (RREQ) packet generation. This is done using the geographic position of the neighboring node. The simulation results of the implementation of modified AODV shows that the number of RREQ packets reduces drastically and in turn end-to-end delay also reduces. The network traffic simulation is done with the help of Network Simulator -2.MObility generator for VEhicular network is used to generate the scenario in SUMO and converting it into NS-2 readable form. General TermsVehicular Ad-hoc Network

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CarTALK 2000: safe and comfortable driving based upon inter-vehicle-communication

Cited by 185 publications

References 2 publications

Dynamic distributed lanes: motion planning for multiple autonomous vehicles

Dynamic distributed lanes: motion planning for multiple autonomous vehicles

Routing Protocols in Vehicular Ad hoc Networks: Survey and Research Challenges

Enhancing Routing Strategy to Optimize Architecture of Vehicle to Infrastructure Communication

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