An Improved Simulated Annealing Technique for Enhanced Mobility in Smart Cities
- Submitting institution
-
The University of Sheffield
- Unit of assessment
- 12 - Engineering
- Output identifier
- 2764
- Type
- D - Journal article
- DOI
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10.3390/s16071013
- Title of journal
- Sensors
- Article number
- 1013
- First page
- -
- Volume
- 16
- Issue
- 7
- ISSN
- 1424-3210
- Open access status
- Compliant
- Month of publication
- June
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
5
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Dynamic calculation of optimum traffic routing is central to the challenge of optimising urban mobility. This paper demonstrates a method based upon multi-objective cost function combined with dynamic route planning. The algorithm enables the different navigation attributes to be integrated into the cost function supporting the detection and avoidance of congestion at speeds not attained by other methods. Algorithm performance is assessed alongside competing approaches across several scenarios in two cities. The work presents a new solution to this problem and demonstrates an improvement of 20% in travel time and similarly significant improvements in CO2 emissions and fuel consumption.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -