Journal
2021 22ND IEEE INTERNATIONAL CONFERENCE ON MOBILE DATA MANAGEMENT (MDM 2021)
Volume -, Issue -, Pages 240-243Publisher
IEEE COMPUTER SOC
DOI: 10.1109/MDM52706.2021.00047
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Funding
- Infosys Centre for Artificial Intelligence at IIIT-Delhi
- DSTSERB [ECR/2016/001053]
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Globally, women are cautious in planning their travel routes, with 82% of international respondents choosing different routes to avoid harassment. The lack of infrastructure in developing nations may lead to higher crime rates, increasing the need for 'Safe Routing'. The proposed system recommends Safe Routes by balancing safety and path length constraints.
Globally, women are cautious when planning their routine travel routes. In a recent survey on street harassment, 82% of international respondents reported taking a different route to their destination than the conventional route due to fear of harassment. Such studies indicate an increasing need for 'Safe Routing', especially in developing nations where the lack of infrastructure such as street lights, may contribute to higher crime rates. However, to the best of our knowledge, no state-of-the-art navigation system provides the option of 'Safe Routing'. In this work, we propose a novel system that recommends Safe Routes. Routes recommended by our system balance the conflicting requirements of increasing the safety and constraining the total length of the path to be within a reasonable limit (as desired by the user). From a theoretical perspective, the problem of 'Safe Routing' can be modeled as the Arc Orienteering Problem, which is a well-known NP-hard combinatorial optimization problem.
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