A group mobility model for ad hoc wireless networks
MSWiM '99 Proceedings of the 2nd ACM international workshop on Modeling, analysis and simulation of wireless and mobile systems
Analysis of TCP performance over mobile ad hoc networks
Wireless Networks - Selected Papers from Mobicom'99
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
Towards a Microscopic Traffic Simulation of All of Switzerland
ICCS '02 Proceedings of the International Conference on Computational Science-Part I
Meeting profiles: size, duration, and location
HICSS '95 Proceedings of the 28th Hawaii International Conference on System Sciences
Meeting Analysis: Findings from Research and Practice
HICSS '01 Proceedings of the 34th Annual Hawaii International Conference on System Sciences ( HICSS-34)-Volume 1 - Volume 1
Ad-hoc On-Demand Distance Vector Routing
WMCSA '99 Proceedings of the Second IEEE Workshop on Mobile Computer Systems and Applications
Graph-Based Mobility Model for Mobile Ad Hoc Network Simulation
SS '02 Proceedings of the 35th Annual Simulation Symposium
Proceedings of the 9th annual international conference on Mobile computing and networking
Towards realistic mobility models for mobile ad hoc networks
Proceedings of the 9th annual international conference on Mobile computing and networking
Recent advances in mobility modeling for mobile ad hoc network research
ACM-SE 42 Proceedings of the 42nd annual Southeast regional conference
Modeling mobility for vehicular ad-hoc networks
Proceedings of the 1st ACM international workshop on Vehicular ad hoc networks
Mobility Modeling of Outdoor Scenarios for MANETs
ANSS '05 Proceedings of the 38th annual Symposium on Simulation
Towards commercial mobile ad hoc network applications: a radio dispatch system
Proceedings of the 6th ACM international symposium on Mobile ad hoc networking and computing
GrooveSim: a topography-accurate simulator for geographic routing in vehicular networks
Proceedings of the 2nd ACM international workshop on Vehicular ad hoc networks
An integrated mobility and traffic model for vehicular wireless networks
Proceedings of the 2nd ACM international workshop on Vehicular ad hoc networks
Multiple simulator interlinking environment for IVC
Proceedings of the 2nd ACM international workshop on Vehicular ad hoc networks
MSWiM '05 Proceedings of the 8th ACM international symposium on Modeling, analysis and simulation of wireless and mobile systems
Performance of urban mesh networks
MSWiM '05 Proceedings of the 8th ACM international symposium on Modeling, analysis and simulation of wireless and mobile systems
Simulation of Car-to-Car Messaging: Analyzing the Impact on Road Traffic
MASCOTS '05 Proceedings of the 13th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems
Mobility Patterns in Microcellular Wireless Networks
IEEE Transactions on Mobile Computing
Efficient paging in large-scale urban mesh networks
WMASH '06 Proceedings of the 4th international workshop on Wireless mobile applications and services on WLAN hotspots
VanetMobiSim: generating realistic mobility patterns for VANETs
Proceedings of the 3rd international workshop on Vehicular ad hoc networks
An Agenda Based Mobility Model21
ANSS '06 Proceedings of the 39th annual Symposium on Simulation
AMS '07 Proceedings of the First Asia International Conference on Modelling & Simulation
Realistic propagation simulation of urban mesh networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Impact of Realistic Mobility Models on Wireless Networks Performance
WIMOB '06 Proceedings of the 2006 IEEE International Conference on Wireless and Mobile Computing, Networking and Communications
Tracking mobile users in wireless communications networks
IEEE Transactions on Information Theory
Locating strategies for personal communication networks, a novel tracking strategy
IEEE Journal on Selected Areas in Communications
Multicast scheduling for scalable video streaming in wireless networks
MMSys '10 Proceedings of the first annual ACM SIGMM conference on Multimedia systems
Spectral efficiency of mobility-assisted podcasting in cellular networks
MobiOpp '10 Proceedings of the Second International Workshop on Mobile Opportunistic Networking
Video streaming performance under proportional fair scheduling
IEEE Journal on Selected Areas in Communications
Mobile location tracking in metro areas: malnets and others
Proceedings of the 17th ACM conference on Computer and communications security
Why mobile-to-mobile wireless malware won't cause a storm
LEET'11 Proceedings of the 4th USENIX conference on Large-scale exploits and emergent threats
Local data gathering using opportunistic networking in a urban scenario
Proceedings of the 8th ACM Symposium on Performance evaluation of wireless ad hoc, sensor, and ubiquitous networks
Gulliver: a test-bed for developing, demonstrating and prototyping vehicular systems
Proceedings of the 9th ACM international symposium on Mobility management and wireless access
ACM SIGMOBILE Mobile Computing and Communications Review
Collaborative calibration and sensor placement for mobile sensor networks
Proceedings of the 11th international conference on Information Processing in Sensor Networks
A simple framework to simulate the mobility and activity of theme park visitors
Proceedings of the Winter Simulation Conference
Shaping opportunistic networks
Computer Communications
A reinforcement learning-based routing for delay tolerant networks
Engineering Applications of Artificial Intelligence
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It is a truism that today's simulations of mobile wireless networks are not realistic. In realistic simulations of urban networks, the mobility of vehicles and pedestrians is greatly influenced by the environment (e.g., the location of buildings) as well as by interaction with other nodes. For example, on a congested street or sidewalk, nodes cannot travel at their desired speed. Furthermore, the location of streets, sidewalks, hallways, etc. restricts the position of nodes, and traffic lights impact the flow of nodes. And finally, people do not wander the simulated region at random, rather, their mobility depends on whether the person is at work, at lunch, etc. In this paper, realistic simulation of mobility for urban wireless networks is addressed. In contrast to most other mobility modeling efforts, most of the aspects of the presented mobility model and model parameters are derived from surveys from urban planning and traffic engineering research. The mobility model discussed here is part of the UDel Models, a suite of tools for realistic simulation of urban wireless networks. The UDel Models simulation tools are available online.