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Open research questions in Transportation and Mobility Innovations

48 unresolved questions extracted from the limitations and future-work sections of 549 Transportation and Mobility Innovations papers in our library. Each links back to the study that raised it.

What the literature leaves open

  • Limited integration with real-time traffic systems. Lack of adaptive disaster-aware routing. Inadequate scalability in large metropolitan environments.

    An Intelligent GIS and Meta-Heuristic Based Emergency Vehicle Routing Framework for Smart Urban Healthcare Systems · 2026 · DOI

  • The difficulty of modeling the preference of crowd-drivers. The need to integrate route optimization and pricing. The complexity of the Heterogeneous Vehicle Routing Problem with crowd-drivers.

    Pricing routes: Compensation of crowd-drivers · 2026 · DOI

  • The lack of a framework to create an operational plan of routes and price routes based on the market. The need to integrate route optimization and pricing to minimize the expected cost and maximize the participation of crowd-drivers.

    Pricing routes: Compensation of crowd-drivers · 2026 · DOI

  • Manual processes. Limited accessibility. Delays in communication. Lack of a centralized system for travel and transportation management.

    Hitesh Yadav Tours & Travels · 2026 · DOI

  • For the BDSP, future work could focus especially of the very large instances, where the benefits of lns+rb(f) seem to degrade, and investigate further improvements of the integration like eliminating sub-optimal columns from the background thread, or more choices between accepting the best or full set of columns.

    Integrating Column Generation and Large Neighborhood Search for Bus Driver Scheduling with Complex Break Constraints · 2026 · DOI

  • Integration of real-time traffic data and GPS-based route optimization can help in suggesting the fastest and most fuel-efficient routes. The system can be extended to support multilingual interfaces and voice-based navigation.

    Dynamic Ride Sharing for Optimizing Shared Transportation · 2026 · DOI

  • Peak-hour congestion exceeding 70% of road capacity. Average commute times of 90 minutes. Limited awareness and affordability of smart mobility systems.

    Smart Mobility Adoption in Cairo: Barriers, Perceptions, and Policy Pathways · 2026 · DOI

  • Longitudinal follow-up to examine maturation effects. Further research on the impact of geographic proximity and affordability on smart mobility adoption. Investigation of the effectiveness of targeted interventions to address primary barriers to adoption.

    Smart Mobility Adoption in Cairo: Barriers, Perceptions, and Policy Pathways · 2026 · DOI

  • The lack of affordable and trustworthy off-campus transportation options for university students. The need for an examination of the social perception of computer science as a major.

    Cavpool: A Safe, Affordable Solution to Undergraduate Transportation; Computer Science: An Undergraduate Epidemic · 2026 · DOI

  • Autonomous utility service vehicles (AUSVs) represent a distinct class of automated platforms designed to operate at very low speeds (often around 5–10 km/h) for urban road maintenance tasks, yet their integration in mixed traffic remains poorly understood.

    Traffic Flow Impacts of Autonomous Utility Service Vehicles Representing Low-Speed Operation in Urban Networks · 2026 · DOI

  • Further studies can explore the relationships between TNCs and public transit in other cities. Further studies can examine the impact of other factors on the relationships between TNCs and public transit.

    Substitution or complement? Uncovering the interplay between ride-hailing services and public transit · 2026 · DOI

  • The literature on TNCs has often focused on their substitutive relationships with public transit, but the complementary relationships are not well understood. There is a need for a data-driven framework to classify TNC-PT relationships into four types.

    Substitution or complement? Uncovering the interplay between ride-hailing services and public transit · 2026 · DOI

  • Policy optimization and infrastructure improvement are crucial for the development of new energy ride-hailing services. Reduction of autonomous driving costs and innovation of profit models will drive the development of new energy ride-hailing services.

    The Operation Mode and Commercialization Journey of New Energy Ride-Hailing Vehicles · 2026 · DOI

  • The commercialization of new energy ride-hailing across the globe is confronted with multifaceted challenges. Inadequate infrastructure and prohibitive acquisition costs hinder the large-scale deployment of new energy vehicles.

    The Operation Mode and Commercialization Journey of New Energy Ride-Hailing Vehicles · 2026 · DOI

  • The small taxi fleet management segment in India is significantly underserved by digital technology. Existing ride-hailing platforms do not address the operational needs of independent fleet owners.

    Taxi Manager: Firebase-Powered Real-Time Backend Architecture for Cross-Platform Fleet Management · 2026 · DOI

  • Small and medium taxi fleet operators in India lack a digital solution for booking management. Existing commercial solutions are priced at $30-150 per vehicle per month, making them inaccessible to small fleet operators.

    Taxi Manager: A Cross-Platform Mobile Application for Role-Based Taxi Fleet and Booking Management · 2026 · DOI

  • There is a lack of understanding of the factors that influence customer satisfaction in ride-hailing services. Prior studies have not examined the relationship between price perception, service quality, and price affordability and customer satisfaction.

    Price Perception, Service Quality, and Price Affordability as Predictors of Customer Satisfaction in Ride-Hailing Services · 2026 · DOI

  • This study has several limitations. First, the sample size was limited to 100 respondents and was obtained using purposive sampling; therefore, the findings should be generalized with caution. Second, the analysis is based on cross-sectional survey data, which limits causal inference. Third, not all structural paths and indirect effects were available in the reported output. Fourth, the study focuses on Maxim users in Bandar Lampung, so the findings may not fully represent users in other Indonesian cities with different mobility patterns and competitive conditions.

    Price Perception, Service Quality, and Price Affordability as Predictors of Customer Satisfaction in Ride-Hailing Services · 2026 · DOI

  • The study does not provide a comprehensive evaluation of the algorithm's performance in different scenarios. The dataset used is limited to a specific region and time period. The study relies on simulated data and does not account for real-world uncertainties.

    <b>Using Big Data</b> to optimize dynamic ambulance availability maps: bridging the gap in emergency services · 2026 · DOI

  • Traditional static models do not account for dynamic changes in road conditions, leading to potential delays. The lack of real-time decision support systems for EMS dispatchers can lead to suboptimal resource allocation. The need for a novel algorithm to dynamically optimize ambulance availability and response times.

    <b>Using Big Data</b> to optimize dynamic ambulance availability maps: bridging the gap in emergency services · 2026 · DOI

  • There is a lack of research on the impacts and challenges associated with the introduction of ridesharing services in urban Zimbabwe. There is a need to explore the dimensions of the sharing economy in urban Zimbabwe.

    Ridesharing services in urban Zimbabwe: Impacts and challenges · 2026 · DOI

  • Future studies can build on the proposed methodology to develop more advanced tools for pre-deployment evaluation. Further research can explore the application of the approach in different urban contexts. The study's findings can inform future research on the development of sustainable transport options in urban areas.

    Demand-agnostic assessment of on-demand pooled transit services · 2026 · DOI

  • The lack of demand data complicates service optimisation. There is a need for a structured tool for pre-deployment evaluation of on-demand pooled transit feeder services. The study addresses the gap in understanding how on-demand services can improve urban transport efficiency and reduce the environmental impact of city travel.

    Demand-agnostic assessment of on-demand pooled transit services · 2026 · DOI

  • Online payment integration. Live vehicle tracking. AI-based travel recommendations. Mobile application support. Multilingual functionality.

    Hitesh Yadav Tours & Travels · 2026 · DOI

  • Most proposed systems remain simulation-based, with limited real-world validation. Limited attention has been given to disability-specific solutions, particularly for cognitive and mobility impairments. The study relies on previously published literature and publicly available data.

    A systematic review of inclusive intelligent transportation systems in smart cities · 2026 · DOI

Most-cited papers in Transportation and Mobility Innovations

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48 open questions have been extracted from the limitations and future-work passages of 549 Transportation and Mobility Innovations papers in our library. Each one below links back to the study that raised it, so you can read the original claim in context.

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