Skip to main content

PTV’s software solutions help cities combat congestion and pollution

Smart cities must rely on a mobility mix, real-time predictive models and collaborations, argues PTV’s Miller Crockart. Transport is reaching a new frontier and cities are at the forefront of the trend: for many urbanites, mobility no longer equals a privately-owned vehicle. They want on-demand services that cater for their individual mobility needs efficiently and sustainably - whether that is shared bikes or autonomous electric vehicles. Private car ownership will not drop overnight. The smooth
January 25, 2018 Read time: 4 mins
PTV's representation of the Mobility Ecosystem

Smart cities must rely on a mobility mix, real-time predictive models and collaborations, argues 3264 PTV’s Miller Crockart.

Transport is reaching a new frontier and cities are at the forefront of the trend: for many urbanites, mobility no longer equals a privately-owned vehicle. They want on-demand services that cater for their individual mobility needs efficiently and sustainably - whether that is shared bikes or autonomous electric vehicles.

Private car ownership will not drop overnight. The smooth interaction between different modes of transport requires advanced technology and, for the foreseeable future, congestion and emissions will remain pertinent topics. With ever-climbing populations, cities do not compete easily in the race to offer the best quality of life and that’s where technology can help.

Traffic modelling

Introducing shared fleets is key to maintaining a working road network and modelling them first is vital. Public transport is tried and tested and will remain the backbone of every city’s transport network and forms the basis from which to expand the system of, for example, shared vehicles and shared rides. Mobility-as-a-Service (MaaS) fleets come in to bridge the gap where individual demands call for more bespoke routes. This might include at-home pick-ups or last-mile rides to get, for example, from the subway station to a hotel.

Meeting the demand is key, but meeting it with a minimum number of vehicles to make the best use of an existing infrastructure, is king. Pre-launch modelling of MaaS business models will help ensure they turn into successful cases for the service provider and the city. As the integration of additional fleets into a multimodal system affects the entire network, PTV’s MaaS Modeller helps calculate the service to run it at the right price. This means fleet operators – cities and automotive companies alike – know how many vehicles they should put on the road and what maintenance costs will be. As all cities are different, the modelling is based on a city’s travel demand and traffic data and, where required, additional key performance indicators can also be modelled and calculated before launching the service.

Real-time data

Despite new initiatives like MaaS, the number of automobiles in use is likely to hit a new plateau within the next few years, before starting to drop as shared fleets of autonomous electric vehicles become the new norm. The increased traffic volume will test cities’ traffic management to the full and require real-time solutions that offer predictive information to enable management centre staff to intervene before congestion clogs the road, not after.

Systems such as PTV’s Optima enable transport managers to switch from a reactive to a proactive approach. The software provides both current and future traffic information for a period of up to an hour, always monitoring the entire network. Customised to any smart city’s traffic management strategy, it offers support for decision-making because it predicts how a blocked road in one district can quickly affect several wards. Reliability, even in case of an emergency, is the reason why only real-time data can deliver precise predictions.

Having the right modelling and traffic management tools gives urban authorities an advantage in the race to become a smart city that offers citizens a high quality of life – with reliable transport services and good air quality. But what really elevates them by adding a certain extra smartness, is partnerships and collaborations with technology and automobile companies.

Cities, with their strong bonds to policymakers and legislation, have vast expertise in running public transport systems and technology companies can help them use data intelligently to plan and implement public transport services. In addition, the technology layer also has the latest tools to manage and optimise a city’s mobility ecosystem sustainably and efficiently. Automobile manufacturers then do not only supply cities with fleets of vehicles or even shared bikes, they also consult town halls on clean vehicle technology and drive innovation forward – together with the public sector. Starting the dialogue now is what turns cities not just into smart cities, but into future-proof urban centres.

For more information on companies in this article

Related Content

  • The benefits of Lidar
    March 21, 2022

    While Lidar is gaining ground in the ITS industry, it has not yet reached the level of mass adoption where it shows up frequently in requests for proposals (RFPs) from cities and DoTs.

  • Q&A: Samuel Johnson, IBTTA
    February 18, 2020
    Samuel Johnson, chief operations officer for the Transportation Corridor Agencies in Orange County, California - and 2020 IBTTA president - talks about his background and career...
  • Maintaining momentum: learning lessons from the London Olympics
    November 15, 2013
    Japan will not only host this year’s ITS World Congress but has been selected for the 2020 Olympics. So what can Japan, and indeed Brazil, learn from the traffic management for London 2012 - Geoff Hadwick finds out. It was a key moment when Olympic boss Jacques Rogge signed off London 2012, calling the Games “happy and glorious.” Scarred by the logistical disaster of Atlanta 1996 and the last-minute building panic for Athens 2008, Rogge clearly thought London 2012 was an object lesson in how to plan and
  • Crossing the line: managing traffic across jurisdictions
    June 18, 2024
    The US will eventually have a fully-digitised transportation network, with traffic management devices talking to each other across massive distances. It’s really a question of pain points on the road to full deployment, explains Mark Talbot of Q-Free