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AUTONOMOUS

MOBILITY

in Urban Environment

proposed by

Julie Huh huh-julie.format.com

Photo by Scott Webb on Unsplash


OVERVIEW

air pollution

increased fuel consumption

environmental destruction from natural gas extraction

limited range of human resource in the city

Traffic Congestion In & Around Toronto Tens of thousands of population of GTA are locked on the road two times a day for five times a week. It is not only stressful for the travellers but a huge economic and environmental loss that degrades the overall quality of life. As jobs are concentrated in the city of Toronto and its growth rate outpacing the city’s capacity to handle the increasing population, it is crucial to provide the population in and around the city with better mode of transportation.

loss of energy

decreased quality of life

loss of space mental stress

increased social service cost

decreased performance at work

loss of opportunity

loss of hours failure to use resource to full potential at national scale

physical stress

loss of quality performance at social scale

lack of break + rest

less time for hobby, family, friends


INTRODUCING Voyage

Voyage is a modular vehicle within the traffic network that makes traveling across and around the city more enjoyable – a journey rather than a stressful and tiring task. The autonomous, modular vehicle is shared among the population of Toronto just likea taxi but with no driver. It provides a private space for passengers to rest, listen to music, have a Skype meeting, or even sleep. After finishing one trip, the vehicle leaves to pick up the next passenger in a queue. Connected with passengers through mobile app, it informs of the wait time and of any disruptive updates.


Each unit can travel on its own or closely bound to other units that travels the same route. A group of friends can travel from point A to point B and connect their units together to allow real-time communication.

Good Year’s spherical wheel

The front window is a door at the same time that allows passengers in and out.

The conceptual modular vehicles are assisted by Good Year’s spherical wheels. The form makes it possible to change directions at 90-degree angle (or at any angles) with no need of extra space to shuffle back and forth. The 2-seats vehicle incorporated with the spherical wheels allow traditionally 3.0 to 3.5-metre-wide lanes to taper down, close to the width of the vehicle which is, conceptually, 1.5 metre in width. The use of smaller, individualized modular vehicles ultimately assigns more land for the use of the public.


HWY 401 EAST

HWY 400 HWY 401 WEST HWY 404 HWY 427

SYSTEM OVERVIEW DOWNTOWN

Autonomous vehicles will operate somewhat similar to subway systems. Vehicles communicate and update each other as each one of them is a part of the road and also functions as a traffic watch: every single vehicle is a node within a huge traffic network. As autonomous vehicles detect any traffic or accident, they communicate the information with the entire system that other nodes in the network - which are individual vehicles - can change the pre-established route to the destination.


HWY 401 EAST

HWY 400 HWY 401 WEST HWY 404 HWY 427

DOWNTOWN

CENTRAL SYSTEM

The central system, operated by artificial intelligence, communicates with each ‘node’ of the network – that is an individual modular vehicle. It looks over the overall network of traffic and the performance of each node to assist them in making instant and quick decisions on the road. Upon receiving the data of the network, each adjusts the speed and the pre-established routine of the vehicle accordingly in order to distribute traffic evenly across the city to lessen the possibility of a traffic jam, to minimize the impact of any road accidents and to best accommodate each passenger’s needs for the journey.


PERFORMANCE SCENARIO Each vehicle travels at a different speed according to the travel routine with the passenger’s destination in mind. Just like the subway system, the central system knows the whereabouts of every node and communicate for them to adjust speed and routines as allowed by the road and traffic condition. The communication between the nodes prevent potential accidents while keeping up with the traffic rules such as the speed limit and road signs since the vehicles are operated by computerized system and not by humans. During their journey, autonomous vehicles turn into a private space for the passengers where they can listen to music off earphones, read, skype with business partners and much more.


Current Time 04: 26 PM

arrive by 04:50 pm distance left: 13.8 km travelling at: 36 km/ h

arrive by 05:30 pm distance left: 53.2 km travelling at: 61 km/ h

arrive by 04:30 pm distance left: 1.2 km travelling at: 24 km/ h

arrive by 05:05 pm distance left: 36.7 km travelling at: 58 km/ h


Current Time 04: 26 PM

arrive by 04:30 pm distance left: 2.1 km travelling at: 42 km/ h

arrive by 04:50 pm distance left: 13.75 km travelling at: 36 km/ h arrive by 05:30 pm distance left: 53.1 km travelling at: 61 km/ h

arrive by 05:05 pm distance left: 36.6 km travelling at: 58 km/ h


arrive by 05:05 pm distance left: 36.5 km travelling at: 58 km/ h

Current Time 04: 27 PM

arrive by 05:30 pm distance left: 53.0 km travelling at: 61 km/ h

arrive by 04:50 pm distance left: 13.7 km travelling at: 36 km/ h

arrive by 04:30 pm distance left: 2.05 km travelling at: 42 km/ h

arrive by 04:35 pm distance left: 8.1 km travelling at: 63 km/ h

arrive by 05:05 pm distance left: 36.5 km travelling at: 58 km/ h


Current Time 04: 27 PM arrive by 04:30 pm distance left: 1.8 km travelling at: 37 km/ h

arrive by 04:35 pm distance left: 7.65 km travelling at: 61 km/ h

arrive by 04:30 pm distance left: 1.95 km travelling at: 43 km/ h

arrive by 05:05 pm distance left: 36.0 km travelling at: 59 km/ h


Current Time 04: 28 PM

arrive by 04:30 pm distance left: 1.65 km travelling at: 43 km/ h

arrive by 04:35 pm distance left: 7.32 km travelling at: 64 km/ h


CONNECTIVITY User Interface Passengers can book a vehicle at desired time at desired location. The app allows passengers to navigate their trip history, plan a trip as well as take a tour around the city, for example, vegan restaurant tour, or Toronto’s park tour. Through the app, Torontonians can easily explore the city of Toronto while taking advantage of the autonomous mobility of the vehicles and the network.


THANK YOU FOR WATCHING


REFERENCE

IMAGE SOURCE

OVERVIEW https://traveltips.usatoday.com/effects-traffic-congestion-61043.html https://www.theglobeandmail.com/news/toronto/constant-gridlock/arti cle18406658/ https://www.caa.ca/bottlenecksincanada/

COVER https://unsplash.com/photos/VL-OvBppmzI

VOYAGE https://www.toronto.ca/wp-content/uploads/2017/11/921b-ecs-specsroaddg-Lane_Widths_Guideline_Version_2.0_Jun2017.pdf

USER INTERFACE https://unsplash.com/photos/61MtRBl1qeE

Autonomous Mobility  

Autonomous Mobility in Urban Environment

Autonomous Mobility  

Autonomous Mobility in Urban Environment

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