Assistant Professor, Imam Abdulrahman bin Faisal University
The research is investigating readiness for new technology from a social angle
Driverless-cars is a technology from the future that is coming too soon. All countries around the world are caught by the surprise and assessing their readiness to adopt the change. For many, is a technology that promises safer roads and better environment, let alone a huge economical shift. For Saudi women, this technology might be the solution to a social dilemma that prevents women from driving themselves around. This paper explores Saudi Arabia’s readiness for Driverless-cars by highlighting the unique women driving ban situation. More research needs to be conducted to arrive to conclusions regarding how Saudi’s will receive Driverless-cars
Abstract: This study investigates the challenges and opportunities pertaining to transportation policies that may arise as a result of emerging autonomous vehicle (AV) technologies. AV technologies can decrease the transportation cost and increase accessibility to low-income households and persons with mobility issues. This emerging technology also has far-reaching applications and implications beyond all current expectations. This paper provides a comprehensive review of the relevant literature and explores a broad spectrum of issues from safety to machine ethics. An indispensable part of a prospective AV development is communication over cars and infrastructure (connected vehicles). A major knowledge gap exists in AV technology with respect to routing behaviors. Connected-vehicle technology provides a great opportunity to implement an efficient and intelligent routing system. To this end, we propose a conceptual navigation model based on a fleet of AVs that are centrally dispatched over a network seeking system optimization. This study contributes to the literature on two fronts: (i) it attempts to shed light on future opportunities as well as possible hurdles associated with AV technology; and (ii) it conceptualizes a navigation model for the AV which leads to highly efficient traffic circulations.
Pub.: 29 Aug '16, Pinned: 16 Jun '17
Abstract: Publication date: Available online 15 September 2016 Source:Regional Science and Urban Economics Author(s): Roman Zakharenko The effects of autonomous vehicles (AVs) on urban forms are modeled, calibrated, and analyzed. Vehicles are used for commute between peripheral home and central work, and require land for parking. An advantage of AVs is that they can optimize the location of day parking, relieving downtown land for other uses. They also reduce the per-kilometer cost of commute. Increased AV availability increases worker welfare, traffic, travel distances, and the city size. Land rents increase in the center but decrease in the periphery. Possible locations of AV daytime parking are analyzed. The effects of AV introduction on traffic and on mass transit coverage are discussed.
Pub.: 17 Sep '16, Pinned: 16 Jun '17
Abstract: Suppose that a driverless car is headed toward five pedestrians. It can stay on course and kill them or swerve into a concrete wall, killing its passenger. On page 1573 of this issue, Bonnefon et al. (1) explore this social dilemma in a series of clever survey experiments. They show that people generally approve of cars programmed to minimize the total amount of harm, even at the expense of their passengers, but are not enthusiastic about riding in such “utilitarian” cars—that is, autonomous vehicles that are, in certain emergency situations, programmed to sacrifice their passengers for the greater good. Such dilemmas may arise infrequently, but once millions of autonomous vehicles are on the road, the improbable becomes probable, perhaps even inevitable. And even if such cases never arise, autonomous vehicles must be programmed to handle them. How should they be programmed? And who should decide? Author: Joshua D. Greene
Pub.: 24 Jun '16, Pinned: 16 Jun '17
Abstract: Authors: Xinyue Ye ; Qunying Huang ; Wenwen Li Article URL: http://www.tandfonline.com/doi/full/10.1080/15230406.2016.1212302?ai=17qdr&mi=5utkuh&af=R Citation: Cartography and Geographic Information Science Publication Date: 2016-09-09T08:03:47Z Journal: Cartography and Geographic Information Science
Pub.: 09 Sep '16, Pinned: 16 Jun '17