Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
IVS 05: New Developments and Research Trends for Intelligent Vehicles
IEEE Intelligent Systems
Cooperative collision warning using dedicated short range wireless communications
Proceedings of the 3rd international workshop on Vehicular ad hoc networks
Freeway ramp metering: an overview
IEEE Transactions on Intelligent Transportation Systems
Analysis of traffic flow with mixed manual and semiautomated vehicles
IEEE Transactions on Intelligent Transportation Systems
Robust traffic merging strategies for sensor-enabled cars using time geography
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Safety issues in collaborative vehicle control
SARNOFF'09 Proceedings of the 32nd international conference on Sarnoff symposium
WiMAX Double Movable Boundary Scheme in the Vehicle to Infrastructure Communication Scenario
Wireless Personal Communications: An International Journal
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Congestion is a major challenge in today's road traffic. This paper addresses the issue of how to optimize traffic throughput on highways, in particular for intersections where a ramp leads onto the highway. In our work we assume that cars are equipped with sensors: they can detect the distance to the neighboring cars and communicate their velocity and acceleration among each other. We present proactive traffic control algorithms for merging different streams of sensor-enabled cars into a single stream. The main idea of a proactive merging algorithm is to decouple the decision point from the actual merging point. Sensor-enabled cars allow us to decide where and when a car merges before it arrives at the actual merging point. This leads to a significant throughput improvement for the traffic as the speed can be adjusted proactively. Sensor-enabled cars can locally exchange sensed information about the traffic and adapt their behavior much earlier than regular cars. We compare the traffic merging algorithms against a conventional priority-based merging algorithm in a controlled simulation environment. We show that proactive merging algorithms outperform the priority-based merging algorithm in terms of throughput and delay. Our experiments demonstrate that the traffic throughput can be increased by up to 200% and the delay can be reduced by 30%.