Location Strategy for Vehicle Emission Detectors Based on
Traffic Network Topology

Abstract

Abstract: In order to achieve the comprehensive monitoring of on-road vehicle emissions in urban areas, the road network vehicle emission remote sensing system is constructed. In the system, the location of remote sensing detectors has a great effect on the effectiveness of monitoring on-road vehicles. Thus the location of detectors is a key factor in the construction of road network vehicle emission remote sensing system. In this work, a location strategy based on the topology structure of traffic network is proposed. First, a mathematical model for the problem of interest is established, where the connection degree between road sections is described with the aid of the reachability matrix of the line graph of the traffic network graph. Then, a dual structure code based genetic algorithm is employed to obtain the solution. The experimental results show that the proposed location strategy in this work can capture more individual vehicles in the road network than the traditional schemes.

Key words: vehicle emission remote sensing, location strategy, topology structure of traffic network, genetic algorithm

CLC Number:

P426

LI Zerui, KANG Yu, ∗, XIE Hao, . Location Strategy for Vehicle Emission Detectors Based on Traffic Network Topology[J]. Journal of Atmospheric and Environmental Optics, 2020, 15(5): 365-371.

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Location Strategy for Vehicle Emission Detectors Based on Traffic Network Topology

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